TerraMosaic Daily Digest: Jan 24, 2026
Daily Summary
This digest synthesizes 380 selected papers and focuses on flood generation, routing, and hydroclimatic forcing, seismic source-to-ground response pathways, wildfire hazard dynamics and adaptation. Top-ranked studies examine mass-movement initiation and runout dynamics, groundwater and subsurface hydrogeologic risk, and landslide susceptibility mapping.
Across the full set, evidence converges on mechanism-constrained analysis with operational relevance, especially for coastal and submarine hydro-geomechanics and high-resolution remote-sensing monitoring workflows. The strongest contributions pair interpretable process evidence with monitoring or forecasting workflows that support warning design and risk prioritization.
Key Trends
- Flood analyses are becoming event-specific and process-based: Papers emphasize precipitation structure, antecedent wetness, and catchment controls rather than static hazard descriptors.
- Seismic hazard research links source behavior to ground response: Recurring topics connect rupture or loading conditions with geotechnical performance and consequence assessment.
- Wildfire research is integrated with broader geohazard management: Physical drivers, landscape controls, and operational planning are analyzed together to evaluate cascade risk.
- Coastal and submarine hazards are treated as coupled systems: Wave, mass-transport, and shoreline processes are analyzed together with engineering implications.
- Monitoring workflows rely on integrated remote-sensing products: Multi-source satellite and airborne observations are used for deformation retrieval, change detection, and rapid post-event mapping.
Selected Papers
This digest features 380 selected papers from 1424 RSS items analyzed across multiple journals. Each paper has been evaluated for its relevance to landslide and broader geohazard research and includes links to the original publications.
1. Spring trends in slow-moving landslide displacement: is it a reliable way to predict their movements? Two case studies in the Susa Valley (NW Italy)
Core Problem: Mountainous regions are highly susceptible to ground instabilities due to their geomorphological features and the climate events
Key Innovation: In this context, the present study focuses on the methodological development and validation of an alternative approach for landslide monitoring, rather than on the direct…
2. Sand and dust storms, sand encroachment, and drought in Kuwait: a basis for formulating a disaster risk reduction plan
Core Problem: The aim of this study is to characterize these hazards and evaluate appropriate management approaches to support the development of a comprehensive disaster risk reduction…
Key Innovation: These hazards pose significant threats to millions of people worldwide
3. A novel approach of mapping snow disaster-prone areas based on areal disaster density optimization: a case study of South Korea
Core Problem: However, identifying snow disaster-prone areas remains a challenge due to the complex interactions among climatic, topographic, and exposure factors
Key Innovation: This study introduces the Maximum Disaster Spatial Density (MDSD) method, a novel framework that directly integrates observed disaster records into an optimized spatial clustering system
4. Exogenous risk preference and factors determining portfolio of flood aversion strategies in agriculture: farm level evidences from Assam, India
Core Problem: The need-based modification of crop calendar, mixed cropping and application of flood-tolerant crop varieties were found to be the popular strategies in minimizing flood induced…
Key Innovation: Present study aims at identifying the portfolio of flood tolerating risk averse strategies adopted by the farm households and its determinants in agriculture using primary…
5. To examine the effects of flow analysis and climate change on integrated water resources of the Kokcha River Basin in Afghanistan using GIS software
Core Problem: The Kokcha River Basin in northeastern Afghanistan is highly vulnerable to climate change, poor water management, and decades of conflict
Key Innovation: This study analyzes long-term variations in temperature, precipitation, river discharge, and land cover from 1970 to 2023 using hydrometeorological records, GIS-based analysis, and statistical trend…
6. Time series perspectives on North Atlantic tropical cyclones: a study of fractional integration patterns
Core Problem: This study uses fractional integration to analyze trends in tropical cyclones in the North Atlantic region
Key Innovation: Our analysis covers annual data from 1851 to 2022 on storms, hurricanes, and major hurricanes
7. Precursors the earthquake on February 6, 2023 on the Turkey
Core Problem: Despite significant research efforts, near real-time forecasting remains a complex challenge
Key Innovation: Despite significant research efforts, near real-time forecasting remains a complex challenge
8. Evaluating the performance of Pangu-Weather model for Dana and Remal tropical cyclones over the Bay of Bengal
Core Problem: This study evaluates the performance of artificial intelligence based weather forecasting model, namely, Pangu-Weather in predicting the tropical cyclones Dana and Remal over the Bay…
Key Innovation: These cyclones occurred during the post-monsoon (22–26 Oct) and pre-monsoon (24–28 May) seasons of 2024, respectively
9. Influence of downflow fire location on the CO distribution in complex ventilation system
Core Problem: To clarify the influence of downflow fire location on the CO distribution in complex ventilation system, a topological structure model of entire ventilation system was…
Key Innovation: The spatial and temporal distribution characteristics of CO under different downflow fire locations of belt roadway, as well as the disturbance effects of fire on…
10. Analysis of rainfall for Krishna River Basin using innovative trend analysis (ITA) and innovative polygon trend analysis (IPTA)
Core Problem: In this context, this study applies the Innovative Trend Analysis (ITA) and Innovative Polygonal Trend Analysis (IPTA) methods to assess 32 years of monthly precipitation…
Key Innovation: Some examples of climate change include the drying of small rivers, increased temperatures resulting from heatwaves, more frequent and intense flooding, and prolonged dry seasons…
11. Experimental study on mechanical properties of frozen silty clay containing ice lenses
Core Problem: In cold regions, slope pemmafrost distributes widely
Key Innovation: Steep slopes and solar exposure differences cause non-uniform temperature fields, forming ice lenses with varying inclinations and thicknesses that enhance permafrost anisotropy and affect mechanica…
12. Investigating drought trends with new and traditional drought indices using innovative trend analysis (ITA): A case of Seyhan, Ceyhan, and Asi River Basins, Türkiye
Core Problem: Accurate monitoring of drought conditions requires the use of quantitative indices that capture the variability of precipitation and other climatic parameters
Key Innovation: The drought indices were calculated, and their temporal trends were analyzed using the Innovative Trend Analysis (ITA) method
13. Spatiotemporal analysis of drought and its teleconnections over agro climatic zones of India
Core Problem: Understanding long-term spatiotemporal changes of drought and its linkage with climate modes is important from an agricultural perspective
Key Innovation: Spatiotemporal trends of meteorological drought, quantified using the Standardized Precipitation Index (SPI), over Agro Climatic Zones (ACZs) of India from 1933–2022 were analyzed using the…
14. Heavy metals in perlite quarries and exposure of worker
Core Problem: Heavy metal(loids) (HMs), which can be carcinogenic, cytotoxic, and mutagenic, can pose a threat to fauna, flora, and humans
Key Innovation: In the mining industry, large amounts of HMs released uncontrolled as a result of activities such as extraction, grinding, clustering of mineral ores, and dumping…
15. Impact of organochlorine pesticide pollution in floodplain soils of the river Niger
Core Problem: The River Niger floodplain is among the most stressed floodplains in the world, arising from the impacts of agriculture, and urban and industrial development, especially…
Key Innovation: Thus, organochlorine pesticide (OCP) concentrations were evaluated in floodplain soils from the lower sections of the River Niger to explore their distribution patterns and interrelationships…
16. Study on the compression characteristics and resistivity response of oil contaminated soil
Core Problem: Oil pollution can modify the compression characteristics of soil, impacting its bearing capacity and stability
Key Innovation: In addition, oil pollutants can spread to the surrounding environment through soil pores and groundwater systems, causing extensive environmental pollution
17. Spatiotemporal characteristics and onset processes of flash droughts during the growing season in Inner Mongolia, China
Core Problem: To investigate the spatiotemporal characteristics and development mechanisms of FDs in Inner Mongolia, China, and to assess the roles of key meteorological drivers in driving…
Key Innovation: Flash droughts (FDs) develop quickly and can rapidly deplete soil moisture, posing significant threats to agriculture and pastoral systems
18. A simplified time-domain anhydrous substructure model of saturated media sites under seismic excitation
Core Problem: Background Seismic analysis in marine geotechnical engineering is computationally intensive
Key Innovation: Objective To propose a simplified anhydrous substructure model that significantly reduces computational cost while maintaining accuracy for efficient seismic analysis of ocean engineering sites
19. Analytical Solutions for Ground Deformation in Curved Shield Tunnels Under Uneven Thrust
Core Problem: Shield construction has become the preferred method for urban tunnel projects, with a growing number of curved shield tunnels
Key Innovation: Compared to straight shield tunnels, curved shield tunnels present two distinctive attributes: soil loss caused by localized over-excavation and more complex construction loads
20. Undrained Vertical Uplift Capacity of Bucket Foundations in Overconsolidated Clay under Two Way Cyclic Loading
Core Problem: This study presents 1 g physical model tests on single bucket foundations embedded in overconsolidated clay to evaluate the effect of cyclic loading on subsequent…
Key Innovation: In these foundations, the applied moment is distributed among the individual legs of the tripod through a push–pull mechanism
21. Nonlinear assessment of progressive collapse in irregular buildings triggered by pulse-type near-field earthquakes
Core Problem: This study evaluates the progressive collapse behaviour of reinforced concrete buildings with structural irregularities subjected to pulse-type near-field earthquakes using a nonlinear dynamic analysis framework
Key Innovation: This study evaluates the progressive collapse behaviour of reinforced concrete buildings with structural irregularities subjected to pulse-type near-field earthquakes using a nonlinear dynamic analysis framework
22. An Efficient Computational Seismic Testbed of a Nuclear Power Plant Diesel Generator Building
Core Problem: To address this, a low-order computational testbed is proposed within the EURATOM METIS project, to create a fast, open-source assessment platform
Key Innovation: Bridging the divide to test and potentially introduce novel concepts requires compatibility with current practice, while avoiding unnecessary modeling complexity
23. Regionalized Bayesian site amplification models for Türkiye
Core Problem: Accurate representation of site amplification is essential for seismic hazard analysis, particularly in regions with complex geological structure
Key Innovation: This study develops a Bayesian hierarchical site amplification model that captures nonlinear, period-dependent, and regionally variable behavior using an extensive strong-motion dataset from Türkiye
24. Seismic mitigation performance of 3D-isolated liquid storage tank under horizontal-rocking coupled earthquake excitations
Core Problem: To enhance the seismic resilience of liquid storage tanks (LSTs) under multi-dimensional earthquake actions, this work analyzes the performance of three-dimensional (3D) isolation device for…
Key Innovation: Seven near-field and far-field seismic waves are selected, and the rocking component is obtained based on the frequency domain theory
25. Nonlinear finite element evaluation of the seismic performance of the historic ayvat masonry weir
Core Problem: A nonlinear seismic assessment of the 18th‑century Ayvat masonry weir was performed by integrating three‑dimensional finite‑element (FE) modeling with Ground‑Penetrating Radar (GPR) surveys
Key Innovation: A detailed ABAQUS model of approximately 70000 continuum elements was developed and calibrated using laboratory‑measured stone–mortar properties and GPR‑derived foundation profiles
26. Experiment-based definition of limit states and derivation of in-plane drift capacity of brick and block URM walls for seismic design and assessment
Core Problem: The evaluation of the in-plane displacement capacity of URM walls at different performance levels is of primary importance for the seismic design and assessment of…
Key Innovation: The values of drift limits of masonry walls are still under discussion and updated as more experimental data become available and the performance objectives in…
27. 3D seismic response and disaster performance of T-shaped intersecting valley fault sites: A case study of a simply supported beam bridge across fault
Core Problem: Irregular topography and faults significantly affect seismic responses, causing notable variations that may show within 1 km 2
Key Innovation: This study investigates a simply supported bridge site in the Tianshan region, which features a fault and T-shaped intersecting valley topography
28. Consolidation characteristics of diatomaceous soil in coastal reclamations revealed by CPTu tests
Core Problem: A Bayesian procedure is further applied to quantify the uncertainty of the inversion results, yielding a 90 % credible interval
Key Innovation: By integrating cavity-expansion theory with Terzaghi's one-dimensional consolidation model, an inversion framework is developed to estimate the initial excess pore water pressure from current field…
29. Force distribution due to impact of bidisperse granular avalanches against a retention barrier
Core Problem: In this work, we experimentally investigate the force histories generated by dense, dry, bidisperse granular flows impacting a rigid barrier at different relative concentrations C…
Key Innovation: Retention structures are therefore essential for mitigating their effects, particularly near urban areas
30. Quantifying groundwater level variability and annual slope failure probability using multi-year groundwater level observations
Core Problem: Multi-year groundwater monitoring data are utilized to quantify the annual exceedance probability of GL through a statistical analysis
Key Innovation: This study proposes a rigorous method for quantifying the annual failure probability ( P FA ) of slopes considering both uncertainties in GL and soil…
31. Landslide displacement prediction based on deep displacement state recognition and similarity propagation
Core Problem: To address this, we propose a Trend–State Coupled Framework that shifts the paradigm from purely external-driven to internal-state-aware prediction
Key Innovation: To address this, we propose a Trend–State Coupled Framework that shifts the paradigm from purely external-driven to internal-state-aware prediction
32. Lithology dependent pathways of forming rock mass weakness plane shape regional landslide susceptibility
Core Problem: In this study, we propose a multi-explainable machine learning framework to predict the distribution of weakness planes and quantify their contribution to landslides
Key Innovation: In this study, we propose a multi-explainable machine learning framework to predict the distribution of weakness planes and quantify their contribution to landslides
33. Influence of processing technique on the agreement of site fundamental frequency (f0) from earthquake and microtremor horizontal-to-vertical spectral ratio
Core Problem: Leveraging a database of earthquake recordings and microtremor measurements collected at seismic stations in California, this research explores the influence of processing decisions on the…
Key Innovation: The study systematically evaluates different approaches for processing eHVSR, including considering signal-to-noise ratio (SNR) to determine usable frequency range, the use of the Fourier amplitude…
34. Quaternary volcanism and segmented rupture of the Yilan-Yitong Fault Zone, NE China
Core Problem: Although it has been speculated that the Quaternary volcanism may have affected the segmented rupture of active faults, the underlying mechanism remains unknown
Key Innovation: The NE-trending, ∼700 km-long Yilan-Yitong Fault Zone (YYFZ), as the main branch of the Tancheng-Lujiang Fault Zone (TLFZ) in NE China, provides a very good…
35. Lessons learned from a post flood-reconstruction project of an urban stream (Resilient St. Vrain, Longmont, Colorado, USA)
Core Problem: We evaluated the effectiveness of an urban river engineering project by characterizing: 1) geomorphic complexity and bed mobility; 2) vegetation-channel-flow relationships, and 3) the ability…
Key Innovation: Vrain Creek (Longmont, Colorado, USA)
36. Frequency-magnitude analysis of megafloods: Quantifying sediment transport and geomorphic effectiveness in the Tsangpo Gorge, eastern Himalaya
Core Problem: Extreme outburst floods are among the most powerful agents of landscape evolution in steep, tectonically active terrains
Key Innovation: While evidence of such megafloods is widespread across the eastern Himalaya, their frequency-magnitude relationship remains poorly constrained, limiting our understanding of their cumulative role in…
37. Spatiotemporal sediment dynamics and vegetation recovery of a Mediterranean coastal dune system following an extreme event
Core Problem: Coastal dunes in Mediterranean environments are dynamic geomorphic systems playing a crucial role in supporting biodiversity and protecting against coastal erosion, flooding, and sea-level rise
Key Innovation: However, these systems are highly sensitive to anthropogenic pressures such as urbanization or land-use changes, which alter sediment dynamics and vegetation cover, ultimately reducing their…
38. Understanding aeolian processes across sand dunes with varying stoss slope: Wind tunnel experiments
Core Problem: Aeolian erosion (wind-led) is highly influenced by the morphology of sand dunes and wind flow patterns in the vicinity
Key Innovation: In this paper, the influence of sand dune geometry on the flow dynamics and associated dune morphology is investigated
39. Evaluation of geomorphic indices and seismotectonic insights for assessing the role of relative active tectonics in the evolution of the Noa-Dihing and Burhi-Dihing River Basins in Assam and Arunachal Pradesh, India
Core Problem: In this study, we attempt to assess how the active tectonic processes have influenced the landform evolution of the river basins during the Quaternary
Key Innovation: In the present research, we employ remotely sensed data and Geographical Information System (GIS) techniques to identify geomorphic signatures of active tectonics
40. Topographic roughness of continuous ejecta deposits of kilometer-size simple craters on the Moon and Mars
Core Problem: Formed by deposition of proximal impact ejecta, continuous ejecta deposits of pristine simple craters on terrestrial planets exhibit varying morphology that reflect properties of pre-impact…
Key Innovation: While some martian simple craters have layered ejecta deposits ascribable to high contents of target volatiles, typical simple craters on Mars have continuous ejecta deposits…
41. Constraints on the spatial distribution model of rock uplift in the eastern Tibetan Plateau by hypsometry analysis
Core Problem: Spatial patterns of rock uplift derived from geomorphic analysis provide important constraints on uplift models for the Longmen Shan (LMS), eastern Tibetan Plateau
Key Innovation: To reduce this uncertainty, we refine the evolution models of hypsometric integral (HI) and relief in weak uplift regions, regional overall uplift regions and active…
42. Modelling tributary reforestation effects on downstream main channel fluvial geomorphology
Core Problem: Reforestation is increasingly promoted as a nature-based solution for sustainable environmental management, offering multiple ecological and hydrological benefits
Key Innovation: However, its long-term geomorphic implications at the catchment scale remain insufficiently understood
43. Significance of the physicochemical properties of modern sediments in the Taklimakan Desert for the origin of fluvial-lacustrine deposits in the desert interior
Core Problem: The widely distributed ancient fluvial-lacustrine deposits (FLD) within the Taklamakan Desert are potentially valuable archives for reconstructing paleohydrological changes in this arid region
Key Innovation: Integrating sedimentological evidence with geomorphological observations, we propose that flooding events from adjacent river systems during past pluvial periods were the dominant factor in the…
44. Subsurface variability of sandy coastal geosystems revealed by integrated georadar and cone penetrating testing approach: Insights from the Pays-de-Monts coast (Atlantic France)
Core Problem: To address this limitation, a combined ground-penetrating radar (GPR) and cone penetration testing (CPT) approach was applied along the Pays-de-Monts coast (Atlantic France)
Key Innovation: While sandy coasts are often described and monitored through surface geomorphology, their internal structure and geotechnical properties remain poorly documented
45. Impact of large dams on the hydrological and sediment transport regime in the monsoon-dominated Krishna River Basin in India
Core Problem: Indicators of hydrological alteration, flow and sediment duration curve (FDC), sediment rating curve, hysteresis loop (HL), and cross-wavelet transform (XWT) analyses were utlized to assess…
Key Innovation: This study investigates the effect of three large dams in the monsoon-dominated Krishna River Basin using multi-decadal flow and suspended sediment concentration data from respective…
46. Quantifying the influencing factors on the spatiotemporal patterns of dune activity in the Tengger Desert, Northwestern China
Core Problem: To address this issue, we quantify dune activity in the Tengger Desert and assess the dominant influences including: sand supply, vegetation, topography, and climate
Key Innovation: Dune activity, including dune migration and sand transport, responds rapidly to environmental changes
47. Bank erosion modeling in the Middle Yangtze River: New dynamic model vs. HEC-RAS
Core Problem: To address this issue, this study improves a one-dimensional (1D) bed deformation and bank erosion model (1DBEM), which couples the modules for flow and sediment…
Key Innovation: Accurate prediction of such events remains challenging due to the intricate coupling of river water, groundwater, and soil mechanics
48. Control of tectonic uplift and erosion on landscape evolution across the Longmen Shan: Insights from numerical modeling
Core Problem: The Longmen Shan orogenic belt, at the eastern margin of the Tibetan Plateau, is a prominent tectonic deformation zone formed by eastward plateau extrusion against…
Key Innovation: Starting from an initial topography resembling the modern upper Min River, the landscape requires 5–20 Myr of additional erosion to evolve into one similar to…
49. Revisiting the geochronology of late Quaternary marine terraces and uplift rates in coastal Santa Barbara County, California, USA
Core Problem: In several early studies, central California marine terraces between Santa Barbara and Point Conception were interpreted to record sea-level high stands of the last interglacial…
Key Innovation: In the present study, new uranium-series ages of terrace corals and amino acid age estimates of terrace mollusks were determined to test these competing interpretations
50. Evolution of rockfall risk following changes in hazard and exposure: Application to a road section in the Zermatt valley, Swiss Alps
Core Problem: Due to rapid and intense socio-environmental transformations in rockfall-prone areas, risk assessment accounting for non-stationary conditions becomes a crucial issue for supporting long-term land-use zoning…
Key Innovation: During the past few decades, several studies have examined the impacts of global warming on rockfall activity, especially at high-elevation sites
51. Understanding multi-hazard risk for U.S. coastal cities
Core Problem: Coastal cities are threatened by a wide range of hazards, including sea-level rise, erosion, storm surges, flooding, and extreme weather events
Key Innovation: In this study, we focus on understanding multi-hazard risk across twenty coastal cities in the United States by accounting for a range of potential hazards,…
52. Earthquake-hazard exposure of residents with potential access and functional needs in the United States
Core Problem: The descriptive and exploratory analysis summarized in this United States (U.S.) case study addresses this gap by identifying and integrating spatially explicit data for AFN-related…
Key Innovation: Previous efforts to map the distribution of these populations have focused on social-vulnerability indices that ignore or oversimply these limitations
53. Business recovery of female-owned enterprises after urban floods: A propensity score matching analysis in the Bangkok metropolitan region
Core Problem: Highlights • This study provides robust causal evidence of gender disparities in post-flood business recovery in the Bangkok Metropolitan Region, analyzing 465 enterprises affected by…
Key Innovation: Highlights • This study provides robust causal evidence of gender disparities in post-flood business recovery in the Bangkok Metropolitan Region, analyzing 465 enterprises affected by…
54. Corrigendum to “A methodology for selecting optimal seismic risk mitigation strategies for the Italian residential masonry built heritage” [Int. J. Disaster Risk Reduct. 131 (2025) 105897]
Core Problem: [⚠️ CRITICAL: Abstract Retrieval Failed
Key Innovation: Link: https://www.sciencedirect.com/science/article/pii/S221242092500768X?dgcid=rss_sd_all] Corrigendum to “A methodology for selecting optimal seismic risk mitigation strategies for the Italian residential masonry built heritage” [Int
55. The cost of drought: A causal study for Brazilian Municipalities
Core Problem: This study provides one of the first causal assessments of drought-induced economic losses at the municipal level in Brazil
Key Innovation: Using a balanced panel of 5538 municipalities from 2004 to 2021, we apply a staggered adoption difference-in-differences framework with municipality-clustered standard errors to estimate the…
56. Long-term physical health impacts of disasters: Evidence from the 2006 Yogyakarta earthquake
Core Problem: This paper looks at the impact of the 2006 Yogyakarta earthquake on physical health outcomes 18–24 months after the event
Key Innovation: The data come from the longitudinal Indonesia Family Life Survey 2000 and 2007 for a sample of around 4400 individuals representing those affected by the…
57. Optimizing fluvial flood mitigation strategies: A multi-objective approach for cost-effective and socially-aware infrastructure feasibility analysis
Core Problem: Effective levee planning must balance capital cost, risk reduction, and community priorities
Key Innovation: This study presents a feasibility phase, simulation-in-the-loop framework that couples terrain-based flood modeling with a socially aware multi-objective optimizer
58. Factors associated with increased preparedness for future bushfires after exposure to a severe bushfire in Australia
Core Problem: When recurrent hazards are exacerbated by climate change, the recovery process from one hazard is closely linked to the preparedness for subsequent events
Key Innovation: This study investigated associations of long-term bushfire preparedness after previous bushfire exposure, focusing on the Protective Action Decision Model and considering mental health as an…
59. Revealing growing and disparate vulnerability in the U.S. power system: A spatiotemporal analysis of nationwide outages from 2014 to 2023
Core Problem: Power systems are increasingly challenged by a range of external and internal threats that undermine their reliability and resilience
Key Innovation: Applying a framework encompassing frequency, duration and intensity, we systematically assessed the dynamics of U.S. power system vulnerability
60. Construction material supply for post-Cyclone Gabrielle transport infrastructure recovery in New Zealand: Challenges and strategies
Core Problem: To address the gap, this paper adopted a case study approach, including literature reviews, semi-structured interviews and on-site observations, to examine the key challenges impeding…
Key Innovation: Yet, the extant literature offers limited insights into the material supply processes in relation to transport infrastructure recovery and extreme weather events
61. Larung Sesaji as an indigenous community resilience practice at Mount Kelud, Indonesia
Core Problem: This study investigates the Larung Sesaji ritual as a community-based disaster risk reduction (CBDRR) practice at Mount Kelud, Indonesia
Key Innovation: This research offers a novel multidimensional analysis showing that Larung Sesaji enhances community resilience across four interconnected dimensions: psychological benefits that support emotional regulation and…
62. Embedding collaboration in disaster response: Insights from the joint emergency services interoperability principles
Core Problem: This paper addresses that gap by examining the perceived challenges and opportunities for multi-agency cooperation across a broader range of responders
Key Innovation: Drawing on twenty-six semi-structured interviews with representatives from local authorities, the National Health Service, His Majesty's Coastguard, the UK Health Security Agency, and the Ministry…
63. Integration of spatial, labour and demographic heterogeneity in a CGE to model the distributional impacts from a disaster
Core Problem: The United Nations highlights the need to protect underrepresented and vulnerable groups from disasters
Key Innovation: Leveraging advances in spatial hazard modelling and synthetic microdata, we integrate spatial and demographic heterogeneity into a multi-regional, recursive-dynamic CGE framework to evaluate disaster impacts…
64. Diagnostic framework for causal inference in seasonal urban flooding: Precipitation-based control selection and synthetic difference-in-differences in Lagos, Nigeria
Core Problem: Establishing causal relationships between urban flooding and behavioral responses is challenging in tropical coastal cities experiencing seasonal flooding, where exposure often limits distinct control areas,…
Key Innovation: We develop a framework that facilitates causal inference by shifting the unit of analysis from geographic locations to facility types
65. Data assimilation in emergency department simulations for real-time disaster response
Core Problem: However, because each MCI can unfold differently, there remains a need to update these ED simulation models using ED observations collected as an MCI unfolds…
Key Innovation: Here, we present a novel data assimilation method for incorporating recently collected observations into an ED simulation model to align the conditions in the simulation…
66. Economic spillovers of wildfire recovery efforts in remote Indigenous communities in Canada: The case of Little Red River Cree Nation
Core Problem: Economic impacts of wildfire recovery in remote Indigenous communities are rarely quantified beyond direct damage, limiting evidence-based recovery planning.
Key Innovation: Uses a case-based spillover analysis for the Little Red River Cree Nation to trace how recovery spending propagates through local sectors and livelihoods.
67. Who pays for preparedness? Valuing disaster app features through a factorial survey experiment in flood-prone communities
Core Problem: This study evaluates public preferences for next-generation disaster preparedness apps using a factorial survey experiment in flood-prone Japanese communities
Key Innovation: The analysis first reveals a fundamental heterogeneity in public receptiveness, identifying two distinct segments: a small "receptive" minority (approx
68. Assessing post-fire rehabilitation: Development and validation of a continuous monitoring index
Core Problem: The current study aims to contribute to this process through the definition, implementation and validation of the Continuous Monitoring for Post-Fire Rehabilitation Index, thereby filling…
Key Innovation: Within the broader framework of postfire management, a tool that facilitates the continuous evaluation of applied strategies is therefore potentially essential
69. Identifying factors influencing housing safety in post-earthquake reconstruction by households in Nepal
Core Problem: The study uses two types of linear regression analysis, with individual and composite variables, to assess the influence of household decision-making factors on the seismic…
Key Innovation: This study aims to identify which decision-making factors significantly contribute to housing safety after reconstruction to inform the design of effective reconstruction assistance
70. Using an ecological model to guide transformative place-based pathways to regional business disaster recovery
Core Problem: The escalating frequency, severity and scale of disasters and predicted more frequent epidemics and pandemics threatens the economic and social fabric of regional communities in…
Key Innovation: This article reports on findings from two case studies conducted in South Australia that explored regional business recovery pathways following the Black Summer fires (2019/2020)…
71. Volcano Voices, a cost-effective tool to collect and share narratives on the environment. An example from Chaitén, Chile
Core Problem: This paper details the development and implementation of Volcano Voices , an interactive mapping methodology designed to collect environmental data and disseminate research findings ethically…
Key Innovation: It focuses on Voces de Chaitén , a case study in Chaitén, Chile, as part of a broader effort to memorialise past disasters in the…
72. Recurrent Risk and the Disaster Loop: A Forensic Approach to Urban Flooding
Core Problem: Floods are among the most widespread and recurrent disasters worldwide, with particularly severe impacts in rapidly urbanising regions of developing countries such as Mexico, where…
Key Innovation: Flood risk in Guadalajara, Mexico, stems from long-standing socio-spatial, institutional, and historical processes rather than isolated hydrometeorological events
73. Understanding unmet needs during community wildfire recovery: A case study of smoke damage impacts after the 2021 Marshall Fire
Core Problem: Efforts to understand, assess, and address diversifying recovery needs have growing relevance as wildfires continue to impact communities
Key Innovation: However, little is known about social experiences navigating gaps in assistance funding and support or “unmet needs” in post-fire spaces, particularly for indirect impacts like…
74. Enhancing Climate Shock Vulnerability Assessment with Energy Reliability: A Comprehensive Case Study of the Dominican Republic
Core Problem: In the Dominican Republic, where hurricanes and climate variability place constant pressure on energy infrastructure, the rising frequency of these events underscores the urgent need…
Key Innovation: In the Dominican Republic, where hurricanes and climate variability place constant pressure on energy infrastructure, the rising frequency of these events underscores the urgent need…
75. Environmental data driven dynamic Bayesian network: Spatiotemporal evolution of coastal shipping risk performance in China
Core Problem: Highlights • An environmental data-driven dynamic Bayesian network model is proposed to analyze the spatiotemporal evolution of maritime traffic risk performance. • A novel transition…
Key Innovation: Highlights • An environmental data-driven dynamic Bayesian network model is proposed to analyze the spatiotemporal evolution of maritime traffic risk performance. • A novel transition…
76. Probabilistic assessment of dynamic urban evacuation-sheltering functionality under typhoons based on interdependent road-shelter network
Core Problem: Highlights • UESS functionality metric combining evacuation timeliness and shelter availability. • Probabilistic assessment framework of dynamic UESS functionality during typhoons. • Impacts of temporal…
Key Innovation: Highlights • UESS functionality metric combining evacuation timeliness and shelter availability. • Probabilistic assessment framework of dynamic UESS functionality during typhoons. • Impacts of temporal…
77. Advanced quantitative risk analysis through the integration of computational fluid dynamics for individual and societal risk
Core Problem: To address these limitations, integrating Computational Fluid Dynamics (CFD) into QRA has emerged as a promising development
Key Innovation: Nevertheless, its outcomes are often challenged by significant uncertainties, largely due to the use of simplified models for dispersion, fire, and explosion scenarios
78. Unified framework for hybrid aleatory and epistemic uncertainty propagation via decoupled multi-probability density evolution method
Core Problem: A central aspect of the framework is the transformation of the original uncertainty inputs into an augmented random space, which presents the primary challenge of…
Key Innovation: Highlights • Unified framework for hybrid aleatory–epistemic uncertainty in dynamics. • Incorporates probabilistic, imprecise, and distribution-free p-box inputs. • Uses decoupled M-PDEM for efficient conditional…
79. Extreme buffeting response of long-span bridges under probabilistic wind field: Environmental contours vs. brute-force Monte Carlo approaches
Core Problem: Highlights • Long-term extreme responses are compared using environmental contour and Monte Carlo approaches. • An XGBoost-based surrogate model efficiently predicts multimodal buffeting responses. •…
Key Innovation: Highlights • Long-term extreme responses are compared using environmental contour and Monte Carlo approaches. • An XGBoost-based surrogate model efficiently predicts multimodal buffeting responses. •…
80. Impact of voyage segments on maritime accidents: An analysis of navigational factors and accident causes
Core Problem: The study employs a Tree-Augmented Naïve Bayes (TAN) model to quantify the probabilistic influence of RIFs on accident occurrence, enabling the explicit modelling of interdependencies…
Key Innovation: Abstract Maritime transportation, a cornerstone of global trade, faces significant risks from maritime accidents, which can result in severe human casualties, substantial property loss, and…
81. Analysis of emergency decision-making patterns in civil aviation risk events based on the observe-decide-act model
Core Problem: This study leverages large-scale ASRS data to analyze decision-making patterns and their association with event outcome severity in aviation fire scenarios
Key Innovation: Highlights • Novel data-driven ODA framework analyzes pilot decisions from ASRS reports. • Functional importance of core ODA elements is associated with event outcome severity…
82. Rapid post-earthquake functionality prediction of subway systems based on graph neural networks and attentive transfer learning
Core Problem: This study proposes FuncGNN, a graph neural network (GNN) designed to predict the post-earthquake functionality of subway systems
Key Innovation: Additionally, a novel Hierarchical Gate-Query Attention (HGQA) mechanism is introduced and integrated into FuncGNN, developing an attention-enhanced transfer learning GNN (AETL-FuncGNN)
83. Detailing polyphase oceanic rifting evolution and consequences for microplate formation
Core Problem: Oceanic rifting in back-arc basins reveals how pre-existing lithosphere deforms under extension, distinct from mid-ocean ridge processes
Key Innovation: We propose that a Pacific Plate kinematic reorganization around 32 Ma rendered the fossil trench-transform-ridge configuration kinematically unstable, triggering distributed deformation that progressively localized along…
84. Influence of plant terrestrialization on coal accumulation and deep time terrestrial carbon storage
Core Problem: Plant terrestrialization—the early evolution of terrestrial vegetation originating, establishing, and expanding during the Silurian-Carboniferous—was a critical event in the evolution of the terrestrial biosphere that…
Key Innovation: Under favorable paleobotanical, paleoclimatic, paleogeographical, and paleotectonic conditions, large quantities of plant remains can accumulate as peat in wetlands, forming a key component of the…
85. Tectonic controls on lithium deposits in the Erzgebirge / Krušné hory region: Regional scale reconstruction of structural controls on late-Variscan mineralization
Core Problem: Here, we aim to explain the tectonic controls on trans-crustal caldera-forming magmatic systems, and link these to more local controls on fertile magmatism
Key Innovation: Specifically, we link the main faults in the vicinity of the Altenberg-Teplice and Tharandt calderas with the western middle Pennsylvanian (∼314–312 Ma) Bohemian basin system,…
86. Standardising research on marine biological carbon pathways required to estimate sequestration at Polar and sub-Polar latitudes
Core Problem: Coincident with marine ice loss, little studied negative (mitigating) feedbacks to climate change are emerging in polar waters, which is important to quantify and comprehend
Key Innovation: CO 2 is removed from biosphere through long-term sequestration into seafloor sediments, removing it from the carbon cycle
87. Low-latitude glaciation in the Cretaceous greenhouse: reviewing the cryosphere reach during an archetypal hothouse Earth
Core Problem: The conventional view of a uniformly ice-free Cretaceous greenhouse is increasingly inconsistent with emerging cryosphere evidence.
Key Innovation: Synthesizes stratigraphic and geomorphic evidence for low-latitude Cretaceous glaciation, reframing Cretaceous climate as more variable than a simple hothouse state.
88. Deep crustal structure and collision dynamics in the Western and Central European Alps
Core Problem: We investigate the deep crustal structure of the Western and Central Alps based on recent S- and P-wave velocity models and previous seismic images coupled…
Key Innovation: Key observations of the S-wave velocity model are two deep, crustal low velocity anomalies (a frontal and an inner anomaly) and the termination of the…
89. Lago-mare – A new scenario for the final stage and the end of the Messinian salinity crisis
Core Problem: Integrating all the scientific elements into a coherent framework remains a significant challenge
Key Innovation: We propose a tripartite water column structure, comprising: i) a surface brackish lid (< 200 m thick); ii) an intermediate marine layer sustained by Atlantic…
90. Surface uplift of the Eastern Alps. Was it much faster than we thought?
Core Problem: Constraining the surface uplift history of mountain belts is difficult because – due to erosion – the surface is made of ever-changing rock levels and…
Key Innovation: Here we present 26 Al/ 10 Be burial ages of siliceous fluvial sediments that were deposited into karst caves as a proxy for surface uplift…
91. Centimeter-resolution 4D dynamics of retrogressive thaw slumps from repeat UAV photogrammetry on the Tibetan Plateau
Core Problem: Retrogressive thaw slumps (RTSs) are critical indicators of permafrost degradation, with significant implications for ecosystems, infrastructure, and carbon cycling
Key Innovation: However, their evolutionary processes remain poorly understood due to limited high-resolution observations
92. Physics-guided deep learning for geostationary satellite-based estimation of dead fuel moisture content in Southwest China
Core Problem: To address this challenge, we propose a physics-guided deep learning framework that synergistically integrates geostationary meteorological satellite data and reanalysis data for regional-scale forest surface…
Key Innovation: To address this challenge, we propose a physics-guided deep learning framework that synergistically integrates geostationary meteorological satellite data and reanalysis data for regional-scale forest surface…
93. Automated rice mapping under diverse cropping patterns and establishment methods by integrating phenological knowledge and synergy of optical and SAR imagery
Core Problem: To address these issues and achieve the comprehensive extraction of rice under diverse cropping patterns and establishment methods, this study proposed the phenological knowledge-guided automatic…
Key Innovation: This method first determined the cropping intensity of rice and its concurrent crops using harmonized multi-resource Normalized Difference Vegetation Index (NDVI) time series and phenological…
94. Heatwave impacts on intertidal seagrass reflectance: from laboratory experiment to satellite mapping of seagrass heat shock index
Core Problem: Laboratory experiments were conducted under controlled heatwave conditions, where hyperspectral reflectance measurements were taken to assess the impacts over time
Key Innovation: However, global warming has increased the frequency and intensity of heatwaves, posing a significant threat to seagrass health
95. A review of forward modelling and retrieval approaches for forest soil moisture and vegetation optical depth using L-band radiometry
Core Problem: Forests are a critical component of the Earth system, accounting for approximately one-third of global photosynthetic activity and carbon storage
Key Innovation: This motivates the present review to evaluate the current retrieval approaches, their performance assessment methods, and available validation resources
96. Characterizing mangrove forest succession in Suriname using GEDI waveform metrics
Core Problem: Mangroves are critical coastal ecosystems known for their carbon storage capacity, biodiversity, and role in shoreline stabilization
Key Innovation: In Suriname, mangroves develop within a dynamic coastal setting shaped by migrating mudbanks and high sedimentation rates
97. Multi-satellite derived data reveals spatiotemporal dynamics of carbon-water coupling and its drivers in tropical ecosystems
Core Problem: Climate change has significantly impacted tropical water use efficiency (WUE), defined as the ratio of gross primary productivity (GPP) to evapotranspiration (ET)
Key Innovation: However, the spatiotemporal dynamics and controlling factors of WUE in these regions—particularly the effects of extreme El Niño events—remain unclear
98. A large-scale framework for deriving tidal flat topography from SWOT data
Core Problem: By combining a percentile-based aggregation of multi-temporal water-surface elevation observations with a tide-constrained, adaptive best-quantile (best-q) reconstruction strategy, followed by linear interpolation for gap filling,…
Key Innovation: Here, we leveraged satellite altimetry from the Surface Water and Ocean Topography (SWOT) mission to develop a novel, large-scale framework for deriving tidal flat topography…
99. Mapping the structural diversity of Central African and Western US forests using GEDI
Core Problem: This study maps forest structural diversity, a key component of ecosystem diversity, using NASA's GEDI spaceborne lidar, providing new opportunities to support conservation and restoration…
Key Innovation: We quantified structural diversity as horizontal variation in canopy structure using a probability density-based multivariate diversity framework
100. Multi-sensor (since 1997) global soil moisture mapping with enhanced Spatio-temporal coverage through machine learning framework fusion
Core Problem: The successful deployment of multiple satellites equipped with passive microwave sensors has been pivotal for monitoring global soil moisture
Key Innovation: Despite their importance, limitations including varying service durations, orbital scanning gaps, and differences in retrieval algorithms result in poor spatio-temporal consistency and coverage
101. Space-based assessment of NOx emissions from global oil and gas fields: Bridging the gap in current emission inventories
Core Problem: NOx emissions from oil-and-gas fields are unevenly constrained in existing inventories, creating large regional uncertainty.
Key Innovation: Uses TROPOMI NO2 observations to estimate annual NOx emissions for 44 major oil-and-gas basins worldwide and benchmark inventory gaps.
102. Gap-free GNSS-R wind field reconstruction: A neural mapping scheme and initial validation
Core Problem: This study explores the feasibility of using track-wise GNSS-R wind products to generate gap-free wind fields
Key Innovation: Spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) has been widely demonstrated as an effective method for ocean wind speed retrieval
103. Delta-X: An airborne remote sensing framework to calibrate hydrodynamic and ecogeomorphic processes responsible for land building in coastal deltas
Core Problem: The spatial complexity and rapid variations in flow, particularly due to tides, present a major challenge to spaceborne remote sensing achieving the required spatial resolution…
Key Innovation: The spatial complexity and rapid variations in flow, particularly due to tides, present a major challenge to spaceborne remote sensing achieving the required spatial resolution…
104. A novel SIF framework for decoupling hierarchical water stress impacts on winter wheat photosynthesis
Core Problem: To address this gap, we have proposed a dynamic monitoring framework based on solar-induced chlorophyll fluorescence (SIF) to assess the photosynthetic response characteristics of winter…
Key Innovation: On this basis, we have developed a novel photosynthetic response anomaly index (PRAI) to characterize the spatiotemporal evolution of drought-induced photosynthetic stress
105. IHMSC: A novel iterative hybrid multiple scattering-corrected retrieval method for enhancing accuracy in ocean lidar profiling inversions
Core Problem: Ocean lidar technology, an emerging active remote sensing method, excels at revealing the vertical structure of subsurface ocean layers, addressing challenges in carbon flux, phytoplankton…
Key Innovation: To overcome this, we present an iterative hybrid multiple scattering-corrected retrieval method based on 117,456 vertical profiles (2017–2024) in the South China Sea
106. GPP-net: a robust high-resolution GPP estimation network for Sentinel-2 using only surface reflectance and photosynthetically active radiation
Core Problem: High-resolution gross primary productivity (GPP) estimation is crucial for ecological and agricultural applications that require fine spatial details to capture GPP heterogeneity
Key Innovation: Here, we propose a robust high-resolution GPP estimation deep learning (DL) network, named GPP-net, using only satellite surface reflectance (SR) from Sentinel-2 and photosynthetically active…
107. A synergistic super-ellipsoidal particle shape and ice cloud optical thickness retrieval method based on satellite polarimetric observations
Core Problem: Ice clouds, composed of irregular ice crystals, play a critical role in the Earth's radiative balance and climate regulation
Key Innovation: The retrieval framework was built upon vector radiative transfer simulations derived from the adding-doubling model, linking POLDER-3 observations with the super-ellipsoidal particle models and IOT
108. Long-term forest structure trends in the peninsular Spain from lidar-optical sensors synergies
Core Problem: Information on forest structure is needed for many management aspects, from carbon stock evaluation to fire hazard prediction
Key Innovation: Such information is increasingly available from remote sensing data, including light detection and ranging (lidar) sensors
109. High-resolution surface and rootzone soil moisture over US cropland: A novel framework assimilating multi-source remote sensing data, machine learning, and the Layered Green and Ampt Infiltration with Redistribution model
Core Problem: Accurate and high spatiotemporal resolution soil moisture (SM) monitoring in cropland is important for water resource management, drought forecasting, and nutrient transport estimation at the…
Key Innovation: This study introduces a novel framework that integrates multi-source satellite-based ML models with the Layered Green and Ampt Infiltration with Redistribution (LGAR) model to produce…
110. PACE (Plankton, Aerosol, Cloud, ocean Ecosystem): Preliminary analysis of the consistency of remote sensing reflectance product over aquatic systems
Core Problem: PACE-OCI’s hyperspectral capabilities address the limitations of prior sensors, providing enhanced spectral discrimination for these properties, especially in optically complex waters
Key Innovation: One of the key products released to the scientific community from PACE is spectral remote sensing reflectance (R rs (λ))
111. National mapping of wetland vegetation leaf area index in China using hybrid model with Sentinel-2 and Landsat-8 data
Core Problem: Leaf area index (LAI) of wetland vegetation provides vital information for its growth condition, structure and functioning
Key Innovation: Accurately mapping LAI at a broad scale is essential for conservation and rehabilitation of wetland ecosystem
112. Spatiotemporal score-based federated generative learning for multi-source remote sensing time series in environmental monitoring
Core Problem: The increasing deployment of geographically distributed environmental sensors presents significant challenges for multi-source data fusion due to privacy concerns, communication constraints, and spatial heterogeneity inherent…
Key Innovation: Addressing these challenges, this paper proposes FedScoreGAN, a novel federated generative adversarial network framework for privacy-preserving synthesis of high-fidelity meteorological time series across decentralized clients…
113. Observing irrigation using SWOT SAR Ka-band data from daily calibration and validation acquisitions
Core Problem: While primarily designed for ocean and inland water monitoring through Interferometric SAR (InSAR) technology, the Surface Water and Ocean Topography (SWOT) Ka-band SAR sensor also…
Key Innovation: While primarily designed for ocean and inland water monitoring through Interferometric SAR (InSAR) technology, the Surface Water and Ocean Topography (SWOT) Ka-band SAR sensor also…
114. Remote sensing facilitates the exploration of algal bloom dynamics and its hydrometeorological drivers in tributary bays of the Three Gorges Reservoir
Core Problem: Reservoir construction has led to frequent algal blooms in tributaries of backwater areas, threatening water quality, aquatic ecological safety, and public health
Key Innovation: The Google Earth Engine (GEE) platform was used for remote sensing image selection, preprocessing, and spectral index calculation, while random forest (RF) model and polynomial…
115. Solar-induced chlorophyll fluorescence (SIF) tracks variations in the soil-plant available water (PAW): a multiyear analysis on three crops
Core Problem: Recent advances in remote sensing of solar-induced chlorophyll fluorescence (SIF) provide a basis for new approaches to directly assess crop water status, since SIF is…
Key Innovation: The increasing frequency and severity of drought events, as a result of global warming, has made the assessment of drought stress effects on vegetation of…
116. Establishing a hyperspectral library for Hong Kong mangroves: Species differentiation and leaf decay dynamics
Core Problem: Mangroves are the resistant species found in the intertidal zones, providing ecosystem services such as protection of shorelines, provision of habitats to flora and fauna,…
Key Innovation: Study of their leaf properties has always been challenging, but this has been facilitated by the advent of Hyperspectral Imaging (HSI) systems
117. High-resolution maize yield mapping across Africa using earth observation and machine learning, deep learning, and foundation model
Core Problem: Africa's food security is increasingly threatened by climate change and population growth, creating an urgent need for high-resolution crop yield maps to support precision agriculture…
Key Innovation: This study introduces a novel 250-m spatial resolution maize yield prediction framework for 42 African countries
118. Satellite Remote Sensing of Hydro-biogeochemical Responses to Near-Coastal Water Dynamics in Global River Mouth Areas
Core Problem: Multi-source environmental remote sensing data records were used to investigate how changes in Fw affect hydroclimates, including precipitation, surface soil moisture, and root-zone soil moisture,…
Key Innovation: The land-margin ecosystems have recently experienced significant variations in surface water extent (Fw) due to increasing intensity of climate and environmental changes
119. High-resolution remote sensing-driven water management in semi-arid basins: A CNN-Attention-SWAT fusion framework for the Fen River
Core Problem: The Fen River Basin (FRB), a critical ecological corridor in China's Yellow River Basin, faces escalating water-security challenges under climate change and intensive human activities
Key Innovation: We propose a physics-embedded deep learning (PIDL) paradigm with bidirectional coupling between mechanistic and data-driven engines: 1) SWAT-modeled soil water stress index (SWSI) and groundwater…
120. GNSS-IR real-time water level retrieval method based on hybrid sliding window and LSTM
Core Problem: Real-time water level monitoring is of critical significance in flood disaster mitigation and water resource management
Key Innovation: This paper proposes a real-time Global Navigation Satellite System Interferometric Reflectometry (GNSS-IR) water level retrieval method based on the hybrid integration of sliding window and…
121. Understanding drought related tree responses using deep learning approaches and satellite based proxy
Core Problem: Recent droughts from 2017 to 2020 induced significant stress on woodland canopies across eastern Australia, resulting in widespread tree browning and mortality
Key Innovation: In this study, we employed a data-driven deep learning framework that integrates CNNs and LSTM algorithms techniques that excel at capturing spatial dependencies and long-term…
122. Hybrid unsupervised methods and inject-multiply morphological features for mapping wildfire burned areas with multi-spectral satellite data
Core Problem: This study focuses on the aim of providing accurate maps of areas affected by wildfires in the Guzli region near Bukhara province in Uzbekistan
Key Innovation: The core of the proposed method is an autoencoder model designed with 3-dimensional convolutional layers
123. Automated night-time fog detection and masking using machine learning from near real-time satellite observations
Core Problem: We evaluate six ML models across four training strategies: (1) supervised training using SEVIRI nighttime microphysics Red-Green-Blue (RGB) pixels with Meteorological Aerodrome Reports (METAR) station…
Key Innovation: Using the same fog events analyzed by Weston and Temimi (2020), the fusion approach (Approach 4) with XGBoost more sharply delineates fog boundaries, accurately captures…
124. AQUAVis: Landsat-sentinel virtual constellation of remote sensing reflectance (Rrs) product for coastal and inland waters
Core Problem: Operational Land Imager (OLI) onboard Landsat-8 and -9 (L89) and the MultiSpectral Instrument (MSI) onboard Sentinel-2A and -2B (S2A-B), as well as the recently launched…
Key Innovation: Since the NASA Harmonized Landsat-Sentinel-2 product is primarily focused on land applications, a new water-focused framework is needed for consistent integration of both OLI and…
125. Investigating surface gravity and height variations due to glacial isostatic adjustment: A comparative study using GRACE, GRACE-FO and absolute gravity measurements data in Canada and Fennoscandia
Core Problem: In this study, we investigate the gravity changes ( g ˙ ) associated with the Glacial Isostatic Adjustment (GIA) and their correlation with land uplift…
Key Innovation: We further validate our results using repeated absolute gravity measurements
126. Unveiling regional and seasonal sea level dynamics along China's coast: Insights from 30 Years of multi-mission satellite altimetry data
Core Problem: Sea Level Rise (SLR) is one of the most prominent climate change consequences, which persistently affects coastal inhabitants, infrastructure, and ecosystems
Key Innovation: The study seeks to accurately estimate Sea Level Anomaly (SLA) from 1993 to 2023, utilising a multi-mission satellite altimeter combination and various optimization processes (e.g.,…
127. PSO-optimized dual-channel BP neural network for bathymetric prediction using multisource marine geodetic data: A case study of the gulf of Mexico
Core Problem: Accurate seafloor topography is essential for marine scientific research, resource exploration, and understanding geological processes
Key Innovation: Traditional bathymetric surveying methods are constrained by limited spatial coverage and high operational costs, particularly in deep-sea environments
128. UAV-measured vertical ozone profile (0–1000 m) and model-estimated regulation effect on the western coast of Japan in autumn 2023
Core Problem: Tropospheric ozone (O 3 ) remains a severe air pollution problem in East Asia
Key Innovation: In this study, we used an uncrewed aerial vehicle (UAV) to measure the long-range transported O 3 at Goto Island, the westernmost place in Japan,…
129. Kernel density change: A new bitemporal lidar metric for directly mapping wildland fire fuel consumption
Core Problem: Biomass consumed in fires has direct ties to the carbon cycle and atmospheric emissions
Key Innovation: The most commonly applied multitemporal lidar-based fuel consumption mapping method is modeled fuel load change (MFLC), an indirect approach that differences separately modeled pre- and…
130. Sedimentary organic carbon in the Three Gorges Reservoir riparian zone: from flooding perturbation and size-fractionation to sources, composition and thermal stability
Core Problem: Sedimentary organic carbon (SeOC) plays a critical role in carbon (C) sequestration in riparian zones, yet its accumulation and stability are influenced by complex hydrodynamic…
Key Innovation: However, it remains poorly understood as to how varying flooding intensities (the relative duration of submergence caused by water level fluctuations) across different elevations and…
131. A new calculation method for dynamic adjustment of bed material gradation in a sand-bed river
Core Problem: Understanding the variation in bed material gradation provides a crucial perspective for assessing the functionality of river systems, including bed resistance, flood conveyance capacity and…
Key Innovation: A new calculation method was developed that integrated active layer thickness with riverbed evolution and bedform geometry, which advanced the framework of active layer method…
132. The role of moss crusts in soil organic carbon accumulation and microbial ecological regulation in post-fire karst areas of Guizhou, China
Core Problem: Wildfires frequently occur in karst areas, posing a severe threat to soil organic carbon (SOC) stability and microbial ecological functions
Key Innovation: However, it remains unclear how different vegetation types regulate this recovery process following fire events
133. Effects of wildfire on sandstone outcrops and environmental consequences, Bohemian Switzerland NP, Czech Republic
Core Problem: The impact of wildfires on natural sandstone outcrops remains a poorly studied topic
Key Innovation: Taking the area affected by the big 2022 fire in the Bohemian Switzerland NP as the study site, fire-induced changes in sandstone outcrops were documented…
134. Soil geochemistry as a geochronologic tool: application to mapping composite fluvial terraces, Four Mile Creek, Ohio
Core Problem: Delineating ‘active’ (500-year) floodplains as well as Holocene and Late Pleistocene fluvial terraces is vital to determining flood and erosion risk within a river valley
Key Innovation: Traditional geomorphic techniques to delineate the active floodplain and fluvial terraces include assessing surface roughness and mapping terrace scarps
135. Impact of dams on river regime and extreme flow events in MIÑO–SIL river basin (NW of the IBERIAN peninsula)
Core Problem: River regulation is a major driver of hydrological change, yet its long-term effects relative to climate and land-use variability remain poorly constrained in many river…
Key Innovation: In the Miño–Sil River Basin (NW Iberian Peninsula), this study evaluates the respective roles of precipitation variability, land-use change, and dam regulation on river flow…
136. Evolutionary dynamics of the Holocene alluvial fan system of Las Carreras Valley (Sierras Pampeanas, NW Argentina)
Core Problem: The Las Carreras Valley, part of the Tafí Valley in Northwestern Argentina, offers a detailed geomorphological record of Holocene evolution within a tectonic intermontane depression…
Key Innovation: This study aimed to examine the evolutionary morphology of the main alluvial fans along the western edge of the Las Carreras Valley, at the piedmont…
137. Shrub dendrochronology reveals the last 150 years of spatiotemporal patterns of desertification in the Tengger Desert
Core Problem: Using this approach, we reconstruct desertification in the desert's peripheral zones since 1850 and investigate its drivers and cyclicity
Key Innovation: Here we take the Tengger Desert as a case study and develop an integrated framework that couples shrub ring-width indices (RWI) with multi-source remote sensing…
138. Holocene wildfire activity archived in East Asian marginal sea: Linkages to climate variability and human civilization
Core Problem: The evolution of wildfire activity in the Holocene was closely linked to climate change, vegetation dynamics, and the development of human civilization
Key Innovation: Compared to terrestrial archives, marginal sea sediments offer broader watershed-scale spatial coverage and longer temporal sequences, providing a unique perspective on interactions among fire activity,…
139. Effects of land use changes on soil organic matter content and speciation in volcanic soils of southern Chile
Core Problem: Fixed depth (FD) and equivalent soil mass (ESM) approaches were used to analyze SOC stocks under different land uses, including native forest, cropland, grassland, and…
Key Innovation: Fixed depth (FD) and equivalent soil mass (ESM) approaches were used to analyze SOC stocks under different land uses, including native forest, cropland, grassland, and…
140. Effects of fire severity on soil organic matter: a multi-isotope (C, N, H, O) comparison of wildfires and experimental burns
Core Problem: This study employs a multi-isotope and elemental approach (C, N, H, O) to assess fire-induced changes in SOM quantity and quality across soil burn severity…
Key Innovation: However, accurately assessing fire severity is highly challenging, requiring the implementation of soil burn severity (SBS) indexes
141. The carbon dynamic and driving mechanisms of peatland in the Changbaishan volcanic field of China
Core Problem: The Changbaishan volcanic field ranks as one of China's largest active volcanic fields
Key Innovation: Numerous peatlands developed in this area, serving as crucial carbon sink within the country
142. Hydrological alterations induced lakeward expansion of wetland vegetation in Dongting Lake, China's second-largest lake
Core Problem: Dongting Lake (DTL), one of China's largest freshwater lakes and a critical wetland ecosystem, has shrunk rapidly due to both natural and human factors
Key Innovation: This study presents one of the longest continuous analyses of wetland vegetation dynamics from 1989 to 2023 by combining long-term hydrological data with high-resolution remote…
143. Valley agriculture in the middle reaches of the Yarlung Zangbo River was buffered against the drought event during the last millennium
Core Problem: Knowledge of the long-term land-use history and human-environment interaction processes in broad valleys is essential for the harmonious development of the Tibetan Plateau
Key Innovation: In this study, we analyzed high-resolution multi-proxy records derived from Ruba Lake in the middle reaches of the Yarlung Zangbo River, including pollen, grain-size, End-member…
144. Disentangling the impacts of climate, catchment, and morphological characteristics on hydrological drought propagation and recovery
Core Problem: Hydrological drought (HD) propagation and recovery dynamics exhibit spatiotemporal heterogeneity, which is driven by coupled climate-catchment interactions
Key Innovation: However, the relative contributions and role of these drivers remain poorly quantified
145. Slope orientation regulates the joint influence of ephemeral plants and microorganisms on the soil multifunctionality of the mobile sand dunes
Core Problem: To address this gap, we conducted a study on typical mobile dunes at the southern margin of the Gurbantunggut Desert
Key Innovation: As key biological functional groups in the dune ecosystem, ephemeral plants and soil microorganisms play crucial roles in regulating soil multifunctionality (SMF)
146. Multi-annual evolution of coastal dunes: Transition from fixed to transgressive dunes state
Core Problem: Mechanisms driving the shift from vegetation-fixed dunes to transgressive dunes remain insufficiently quantified under combined marine and aeolian forcing.
Key Innovation: Integrates multi-year topography, vegetation cover, and forcing data to document remobilization dynamics and state transition along the Gironde coast.
147. Fractionation of rare earth elements in carbonate nodules of alluvial soils along a chronosequence
Core Problem: Graphical abstract Highlights • REEs in the bulk soils did not show a consistent trend across the chronosequence. • Distribution patterns of bulk soil REEs…
Key Innovation: Four Alfisol pedons containing carbonate nodules were sampled along a chronosequence, with soil ages estimated by the phases of shoreline transgression and regression to be…
148. Measures of pyrogenic carbon in native forest and plantations of northern Australia
Core Problem: Pyrogenic carbon (PyC) is a highly stable fraction of soil organic carbon that plays an important role in the global carbon budget and biogeochemical processes
Key Innovation: However, the stocks and dynamics of PyC in soils remain insufficiently characterized, largely due to longstanding challenges in obtaining accurate and reliable assessments
149. Stabilization of organic matter in topsoils under different tundra vegetation in Central Spitsbergen (high Arctic)
Core Problem: The main aim of this study was to determine SOM characteristics in surface horizons of permafrost-affected soils covered with different tundra vegetation types (pioneer tundra,…
Key Innovation: Despite numerous studies on carbon stocks in the Arctic, a significant knowledge gap remains regarding the mechanisms of SOM stabilization and their impact on the…
150. Study on the influence of temperature field during thawing and sinking process of tropical undersea tunnel based on pipe curtain freezing method
Core Problem: The pipe curtain freezing method is the primary technique employed to address the issues of thawing and sinking of soft strata during the construction of…
Key Innovation: The pipe curtain freezing method is the primary technique employed to address the issues of thawing and sinking of soft strata during the construction of…
151. Analysis and layout parameter optimization study for high-level radioactive waste disposal units in granite host rock
Core Problem: A series of triaxial direct shear creep tests integrated with acoustic emission monitoring were conducted to analyze the damage evolution and failure mechanisms of the…
Key Innovation: Abstract The long-term strength of rocks under high-temperature and high-pressure conditions is crucial for assessing the stability of high-level radioactive waste disposal facilities
152. Thermomechanical behavior and damage mechanism of the lining backfill body of high-temperature thermal energy storage reservoirs in mines
Core Problem: It is therefore worthwhile to investigate the mechanism of mechanical weakening of the backfill body due to temperature effects
Key Innovation: Abstract The construction of underground thermal energy storage (UTES) systems using the space of abandoned mines is one of the most promising large-scale energy storage…
153. Study on the characteristics of recirculating smoke flow in dead-end tunnel fire based on full-scale experiments
Core Problem: With the acceleration of the construction of underground space engineering in China, the number of single-ended tunnels in the construction process has increased year by…
Key Innovation: In order to study the smoke spread characteristics in a single-ended tunnel formed during the construction phase of a long distance tunnel, a full-scale field…
154. Mechanical response characteristics and influencing factors analysis of non-parallel complex subway station-tunnel groups close proximity construction
Core Problem: To analyze the mechanical stability of both the main and auxiliary tunnels in the vicinity of the subway station, an integrated methodological framework that combines…
Key Innovation: To analyze the mechanical stability of both the main and auxiliary tunnels in the vicinity of the subway station, an integrated methodological framework that combines…
155. Structural fire behavior of tunnel sections: assessing the effects of full burnout and spalling effects
Core Problem: Results show that spalling increases heat penetration and shifts damage class: circumferential rebar peaks at about 650°C with spalling versus about 400°C without; the heated-concrete…
Key Innovation: The framework supports post-fire assessment and performance-based design of tunnel linings where spalling risk is non-negligible, acknowledging the use of a uniform spalling representation with…
156. 3D response analysis of tunnels in layered media subjected to asynchronous ground motions using MLM-DRM
Core Problem: Graphical abstract Highlights • Practical application of MLM-DRM framework for 3D seismic wave propagation in layered geologic media. • Incorporated realistic asynchronous near-fault ground motions…
Key Innovation: Graphical abstract Highlights • Practical application of MLM-DRM framework for 3D seismic wave propagation in layered geologic media. • Incorporated realistic asynchronous near-fault ground motions…
157. Numerical study of smoke movement and heat confinement under the influence of the stack effect in passages with horizontal and inclined sections
Core Problem: Smoke propagation in passages with combined horizontal and inclined sections is examined through theoretical analysis and CFD simulations
Key Innovation: The study explores the effects of heat release rate (HRR), passage geometry, and fire source location on buoyancy-driven flow, ventilation behavior, and upstream smoke flow,…
158. Coupled ventilation-slope effects on flame dynamics and temperature distribution in high-speed train compartment fires
Core Problem: This study systematically investigates the fluctuating characteristics and temperature field distribution of carriage fires through a series of scaled-down (1:8) modeling experiments
Key Innovation: The fire development process was observed to exhibit two distinct stages: a fuel-controlled stage characterized by monotonically increasing maximum temperatures with heat release rate, and…
159. Experimental investigation on the fire performance of novel multi-scale fiber reinforced UHPC segments
Core Problem: Comparative experiments investigate the spalling behavior and mechanical performance of MSFUHPC segments with and without rebars, under both ambient conditions and hydrocarbon (HC) fire conditions
Key Innovation: Ultra-high-performance concrete (UHPC) offers outstanding strength and durability but is vulnerable to explosive spalling and rapid strength degradation at elevated temperatures
160. Full-scale experimental study of flame behavior and thermal distribution in utility tunnel fires
Core Problem: A series of full-scale fire experiments were conducted in the largest utility tunnel platform in China (100 m × 3 m × 3 m), aiming…
Key Innovation: Both oil pool fires and cable fires were employed to realistically replicate fire scenes while maintaining reasonable costs
161. Urban underground space for resilient cities
Core Problem: Highlights • The role of underground space in the resilience of cities is reviewed. • The impact of climate events is highlighted. • The benefits…
Key Innovation: Abstract Urban resilience is the ability of an urban environment, including its infrastructure and inhabitants, to remain functioning in the face of acute shocks and…
162. Analytical method for tunnel deformation and internal forces during uplift
Core Problem: Excessive differential settlement and consequent structural defects of shield tunnels in soft clay are frequently encountered
Key Innovation: To ensure operational and structural safety, tunnel uplift is commonly required
163. The dynamic combustion process and smoke transport of tunnel spill fire under longitudinal ventilation: the evolution of vortex structures
Core Problem: Research on vortex motion enhances the understanding of combustion dynamics and smoke transport patterns in tunnel spill fires under forced ventilation
Key Innovation: This study combines model experiment and numerical simulations to examine the fuel layer diffusion process, fire plume characteristics, and smoke transportation of spill fires under…
164. Rockburst in circular openings under varying confining stress: Acoustic emission characteristics and precursors
Core Problem: Rockburst induced by high in-situ stress is a major threat to the stability of underground structures
Key Innovation: Among various controlling factors, confining stress plays a decisive role in governing the initiation, development, and intensity of rockburst
165. Investigation on artificial boundary problems in three-dimensional nodal-based continuous-discontinuous deformation analysis method for the seismic dynamic analyses of geotechnical structures
Core Problem: To accurately simulate the seismic responses of geotechnical structures using the three-dimensional nodal-based continuous-discontinuous deformation analysis method (3D-NCDDAM), appropriate boundary conditions should be set at…
Key Innovation: To accurately simulate the seismic responses of geotechnical structures using the three-dimensional nodal-based continuous-discontinuous deformation analysis method (3D-NCDDAM), appropriate boundary conditions should be set at…
166. Advanced thermo-hydro-mechanical modelling of Callovo-Oxfordian claystone: Temperature effects and multi-scale applications for geological disposal safety
Core Problem: To support the feasibility of the Cigéo deep geological repository, Andra has carried out extensive thermo-hydro-mechanical (THM) investigations on Callovo-Oxfordian (COx) claystone
Key Innovation: These investigations combine in-situ experiments conducted at the Meuse/Haute-Marne Underground Research Laboratory (M-HM URL) with detailed laboratory-scale characterisations
167. Modeling the thermo-mechanical behavior of porous lava under reservoir conditions
Core Problem: Harnessing geothermal energy and storing carbon dioxide in volcanic systems require reliable constitutive models to predict rock deformation and failure under extreme pressure and temperature
Key Innovation: In this study, we integrate elastoplasticity, strain hardening, nonassociative plasticity, phenomenological thermomechanics, and bifurcation analysis to establish a novel constitutive model for porous lava
168. Ultrasonic sensing of the mechanical fingerprint of reactive transport in rock
Core Problem: Mineral carbon storage in rock formations has gained significant interest in recent years
Key Innovation: In principle, changes in mechanical rock properties driven by carbon mineralization could be quantified using seismic methods, opening the door toward field monitoring of carbon…
169. Analysis of seismic potential in a depleted chalk reservoir subject to CO2 injection
Core Problem: CO2 injection in depleted chalk reservoirs can perturb stress and reactivate faults, but seismic potential is hard to assess across scales.
Key Innovation: Presents a multi-scale coupled flow-geomechanical framework linking field-scale critically stressed-fault screening with fault-scale slip simulations.
170. Influence of rock creep on the performance of lined caverns under cyclic pressurization and hydrogen embrittlement
Core Problem: A novel two-dimensional multiscale model is developed that captures the interactions between the LRC structure and the surrounding fractured rocks to assess the damage and…
Key Innovation: In this paper, we present a comprehensive numerical analysis of LRCs within fractured rock masses, incorporating the effects of time-dependent viscoelastic deformation in the host…
171. Development of a procedure for predicting real-time seismic wave velocity in underground mines using discrete physical laboratory modelling and explainable artificial intelligence (XAI)
Core Problem: To address this problem, this study used discrete physical models mimicking snapshots in time to track the velocity changes of the constantly changing underground mining…
Key Innovation: The data generated in the laboratory is then analyzed using machine learning to develop a method for predicting input velocity in real-time that reflects the…
172. Frictional evolution of rock fractures across mineralogical contrasts
Core Problem: Underground excavation in high-altitude, tectonically active regions frequently encounters soft metamorphosed rocks, which exhibit distinct mechanical behaviors from hard crystalline rocks that have been extensively…
Key Innovation: These weak rocks tend to deform plastically during excavation unloading and are prone to shearing along pre-existing fractures, leading to the generation and accumulation of…
173. Optimized inversion of Chang’e-2 gamma-ray spectrum data into heat production rate for thermal evolution study: Imbrium Basin as an example
Core Problem: To further investigate lunar thermal evolution and geological activities, the heat production rate (HPR) distribution was selected as a breakthrough
Key Innovation: Graphical abstract Highlights • The inversion method of Chang’e-2 gamma-ray spectrum data was optimized. • The heat production rate of the global lunar surface and…
174. Contrasted detection of lipid biomarkers in Ediacaran stromatolites from Amane-n’Tourhart in the Moroccan Anti-Atlas
Core Problem: Graphical abstract Highlights • Cyanobacterial communities and early photosynthetic eukaryotes contributed to the oxygenation of Earth’s atmosphere. • Biogeochemical evidence of these communities in terrestrial…
Key Innovation: Abstract During the Ediacaran Period (635 – 538.8 Ma), the photosynthetic activity due to cyanobacterial communities and early photosynthetic eukaryotes prompted the wide oxygenation of…
175. Genetic types, mineralization styles, and geodynamic drive of uranium deposits in the South China Block
Core Problem: Graphical abstract Highlights • U deposits show regional zonation, spatially tied to ancient crustal architecture. • U mineralization is dominantly in Cretaceous and Paleogene under…
Key Innovation: Abstract The South China Block (SCB) is recognized as one of the most significant uranium deposit clusters in the world, characterized by its complex genetic…
176. Probabilistic quantification of global drought risk amplification from temperature-enhanced evapotranspiration under climate change
Core Problem: Utilizing multi-model ensemble (MME) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) under Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5), we evaluate changes in drought…
Key Innovation: Graphical abstract Highlights • Thermodynamic amplification drives nonlinear escalation of global drought risk under warming. • Extreme droughts (P90) intensify 20–30% more than moderate events…
177. Multi-modal characterization of ultramafic rock: Precursors relevant to serpentinization and hydrogen generation
Core Problem: Graphical abstract Highlights • Integrated micro-CT, micro-XRF, XRD, SEM, and deep learning on ultramafic rock. • Established unified workflow for petrological and geochemical characterization. •…
Key Innovation: Graphical abstract Highlights • Integrated micro-CT, micro-XRF, XRD, SEM, and deep learning on ultramafic rock. • Established unified workflow for petrological and geochemical characterization. •…
178. Collision-related tin metallogeny: Insight from a new discovery of the volcanic-subvolcanic-hosted Sn deposit in the western Gangdese, Xizang
Core Problem: The recent discovery of the Sangmoladong (SMLD) deposit, the first undocumented volcanic- to subvolcanic-hosted, tin-dominant polymetallic system in western Gangdese, provides a unique opportunity to…
Key Innovation: Abstract The Gangdese metallogenic belt in Xizang, a world-class copper polymetallic province, has a poorly understood western segment due to extensive volcanic cover and limited…
179. Decoding the tectonomagmatic evolution of the Ladakh Magmatic Arc, NW Himalaya: A multi-proxy geochemical and isotopic approach
Core Problem: Graphical abstract Highlights • The evolution of the Ladakh magmatic arc was fundamentally controlled by Neo-Tethyan Ocean geodynamics. • Nd-isotopic shift from depleted mantle to…
Key Innovation: Abstract Magmatic arcs are the active locus of crustal formation, and their knowledge of spatiotemporal geochemical variation is vital for understanding the evolution of collisional…
180. Insights into the final closure of the Mongol-Okhotsk Ocean (eastern segment): implications from mesozoic granitoids in the Northern Great Xing’an Range, NE China
Core Problem: Graphical abstract Highlights • The Jurassic regional magmatism was associated with the Mongol-Okhotsk Ocean closure. • The crust may have thickened progressively from the Early…
Key Innovation: Abstract The Mongol-Okhotsk suture signifies the closure of the Mongol-Okhotsk Ocean between the Siberian Craton and the Erguna Block (also known as the Amuria Block),…
181. Long term evolution of deep banner banks offshore Brittany (France): paleo-coast line markers and interactions between hydrodynamics and seafloor morphology
Core Problem: Graphical abstract Highlights • Banks in a highly dispersive, starve, tide- and storm-dominated shelf. • Basal seismic units are interpreted as representative of shoreface deposits…
Key Innovation: Abstract This study focusses on the development and evolution of a banner banks set located offshore the Britanny coast (Iroise Sea, France) using multibeam bathymetric…
182. Changes in hydrological regime regulate POC export across permafrost-dominated Arctic River basins
Core Problem: This study analyzes ArcticGRO data (2003–2021) from six major Arctic rivers (Ob, Yenisei, Lena, Kolyma, Yukon, and Mackenzie) to investigate trends and spatial–temporal variations in…
Key Innovation: This study analyzes ArcticGRO data (2003–2021) from six major Arctic rivers (Ob, Yenisei, Lena, Kolyma, Yukon, and Mackenzie) to investigate trends and spatial–temporal variations in…
183. Multi-stage exhumation and preservation of the Mujicun porphyry Cu-Mo deposit, North China: A geo-thermochronological perspective
Core Problem: Graphical abstract Highlights • The formation of the Mujicun deposit is related to the ca
Key Innovation: 144 Ma rollback of the Palaeo-Pacific Plate. • Multi-stage different degree of cooling during ca
184. Modelling 4.5 billion years of Earth’s thermal evolution: Insights from core-mantle coupling, lithospheric viscosity, grain-size-dependent rheology, and surface boundary conditions
Core Problem: Abstract We investigate Earth’s evolution through thermally coupled core-mantle models spanning 4.5 billion years
Key Innovation: Abstract We investigate Earth’s evolution through thermally coupled core-mantle models spanning 4.5 billion years
185. Ilmenite megacrysts from Dharwar craton kimberlites, and their P-T-X implications for the lithospheric mantle architecture beneath India
Core Problem: Graphical abstract Highlights • First in-situ trace element dataset reported for ilmenite megacrysts from Indian kimberlites. • Detailed textural features of ilmenite illustrated. • Trace…
Key Innovation: Abstract Investigating mantle-derived xenocrysts to probe the thick roots of cratons by in-situ analytical techniques has emerged as a powerful tool in petrology, especially in…
186. Partitioning uncertainties of extreme flood estimates using long continuous simulations
Core Problem: Here, we investigate the influence of two components in a hydrometeorological modelling chain using long continuous simulations, under a stationary climate
Key Innovation: Abstract Modelling options play a key role in the reliability of flood estimates, especially of extreme ones
187. Vertical sediment stratification regulates dissolved nutrient dynamics and interface fluxes along the intertidal zone
Core Problem: The role of vertical sediment stratification in controlling dissolved nutrient dynamics and interface fluxes in intertidal zones is poorly resolved.
Key Innovation: Quantifies how fine-over-coarse layering and carbon-nitrogen stoichiometry regulate nutrient transformation and exchange fluxes across the intertidal interface.
188. Uncovering the dynamic role of bedrock-stored water in ecosystem evapotranspiration
Core Problem: Graphic abstract Highlights • Built a model to quantify bedrock water evapotranspiration based on water fluxes. • Bedrock water contributes to 10.84% & 7.99% of…
Key Innovation: Here, we introduce a dynamic bedrock water evapotranspiration model and estimate the daily bedrock-derived evapotranspiration across China using multi-year meteorological and remote sensing datasets
189. Dynamic resilience quantification of urban drainage networks
Core Problem: Graphical abstract Highlights • BUSRA helps municipalities plan targeted stormwater resilience interventions. • Pipe-level maps expose weak links that system-wide indicators overlook. • Resilience is…
Key Innovation: This study introduces a novel Bottom-Up System Resilience Assessment (BUSRA) framework that quantifies dynamic resilience at the pipe level using hydraulic performance metrics, rather than…
190. Plant-water interactions shape coastal dune evolution in a changing climate
Core Problem: However, tools to assess future precipitation impacts on dune development remain limited
Key Innovation: Dune development is driven by interactions between sediment transport and vegetation growth
191. Sediment transport mechanisms in sediment-starved subaqueous deltas: insights from storm-induced gravity flows
Core Problem: Highlights • Fluid mud and gravity flows were observed in a sediment-starved delta during storms; • Gravity flows formed via liquefaction under strong waves or…
Key Innovation: Abstract Subaqueous deltas worldwide are increasingly threatened by erosion, driven by the dual pressures of intensified storms and reduced fluvial sediment supply
192. Tailored calibration of stochastic weather generators for enhanced hydrological system evaluation
Core Problem: Highlights • Tailored calibration of SWGs offers more flexibility than conventional methods. • Captures key climate attributes for system responses and impact assessments. • Overcomes…
Key Innovation: This study (1) demonstrates the potential advantages of tailored calibration, using the Simulated Method of Moments (SMM), in better capturing important climate attributes for both…
193. Attribution of interannual runoff magnitude and variability in China’s large reservoir drainage areas using Global Hydrological Models
Core Problem: Highlights • Actual runoff ( R a )-related indicators in 60–70% of reservoirs show drying trends. • R a -related indicators in 20–50% of reservoirs…
Key Innovation: Abstract Reservoirs are constructed by damming rivers to impound actual runoff ( R a ) from upstream drainage areas, thereby securing water supply and buffering…
194. Forty-year data analysis of droughts and drought-flood dynamics: impacts of cascading reservoirs
Core Problem: Highlights • Meteorological and hydrological droughts distributed inconsistently in the Yangtze River Basin. • Lag from meteorological to hydrological droughts increased from upper to downstream…
Key Innovation: In this study, we develop an inflow-driven cascading reservoir release framework embedded within the Soil and Water Assessment Tool+ (SWAT+)
195. Seasonal variation of groundwater flow path induced by freeze‒thaw process drives the changes of DOC export and DOM composition in streams in an alpine catchment, Qinghai‒Tibet Plateau
Core Problem: To address this issue, we employed a numerical groundwater flow model considering the freeze‒thaw process and evaluated the seasonal variations in DOC concentrations and DOM…
Key Innovation: Abstract The control of freeze‒thaw-induced changes in the groundwater flow path in alpine regions on dissolved organic matter (DOM) composition and lateral dissolved organic carbon…
196. Spatial patterns and environmental drivers of evapotranspiration across the Chinese Grassland Transect
Core Problem: Highlights • Evapotranspiration in alpine grasslands has been significantly higher than that in temperate grasslands. • Precipitation and vapor pressure deficit drive the spatial patterns…
Key Innovation: Abstract Alpine grasslands (AG) exhibit significantly higher Humidity Index (HI) than temperate grasslands (TG), leading to a marked moisture gradient variation along the Chinese Grassland…
197. Hydrological modelling of the 2021 mega-flood in the east of Belgium
Core Problem: To address this, a new computationally efficient gridded runoff model was developed in-house and applied to hindcast the event and reconstruct missing hydrographs
Key Innovation: Abstract This study presents an event-based hydrological analysis of the two most severely impacted catchments in Belgium during the July 2021 floods
198. Assessing groundwater vulnerability in bedrock islands using the modified GALDIT method
Core Problem: Highlights • Integrate numerical modeling with a modified GALDIT to assess vulnerability. • Assess groundwater vulnerability using combined SWI and SGD on bedrock islands. •…
Key Innovation: This study develops a novel hybrid framework that integrates a 3D variable-density groundwater flow and solute transport model with a modified GALDIT index to assess…
199. From little things big things flow: the drivers of flood risk adaptation
Core Problem: Graphical abstract Highlights • Meaningful engagement with flood-prone households prompts adaptation. • Prior adaptations are the strongest statistical predictor of subsequent adaptation. • Easy, low-effort…
Key Innovation: Abstract Climate change and the urbanization of floodplains are intensifying flood risk internationally, driving demand for adaptation strategies and socio-hydrological models to more accurately capture…
200. Quantifying the impacts of increasing light and moderate rainfall on permafrost thermal regimes over the Qinghai-Tibet Plateau: A controlled sensitivity study
Core Problem: In this study, a permafrost-adapted land surface model to was used to quantify the effects of summer light and moderate rainfall on permafrost thermal regimes…
Key Innovation: Abstract Permafrost degradation is accelerating worldwide as climate warming intensifies, and air temperature is widely recognized as the dominant driver of permafrost thermal changes
201. Steeper spatiotemporal distribution of extreme precipitation intensity in urban than rural regions
Core Problem: Highlights • Urban regions show peakier extreme precipitation than rural regions, featuring sharper peaks and weaker flanks. • Urban scale-up makes extreme precipitation more heterogeneous,…
Key Innovation: Abstract Urban flooding is highly sensitive to the organization of precipitation—its intensity, timing, spatial extent, and concentration
202. Integration of deep learning and improved multi-objective algorithm to optimize cascade reservoirs operation with consideration of ecological dissolved oxygen needs
Core Problem: Graphical abstract Highlights • Deep learning and multi-objective algorithm optimize cascade reservoirs operation. • Realizing trade-offs between hydropower generation, flood control and eco-DO needs. •…
Key Innovation: To bridge this gap, the study proposes a coupled framework (DL-CRS) that integrates a deep learning (DL) model with a cascade reservoir scheduling (CRS) model…
203. Improved -constrained and adaptive hybrid crossover operator-based NSGA-III for reservoir multi-objective ecological operation
Core Problem: Highlights • Daily-scale ecological reservoir models were development balancing power & ecology. • Ecological flow and fish-spawning hydrology were explicitly integrated as objectives. • The…
Key Innovation: Abstract Conventional multipurpose reservoir operational paradigms focus on power generation rather than the ecological integrity
204. Lagging theory for periodic hydraulic head signals in aquifers
Core Problem: Periodic head fluctuations in aquifers are often analyzed with a diffusion model that links amplitude damping and phase lag to a single hydraulic diffusivity, yet…
Key Innovation: The head lag denotes the time required for a head difference to develop across communicating domains under finite exchange, as in mobile-immobile or fracture-matrix systems,…
205. The role of heterogeneity in groundwater chemistry and mixing within the critical zone of a volcanic rock hillslope
Core Problem: Highlights • Water-rock interactions and mixing govern hillslope groundwater chemistry. • Critical zone heterogeneity controls water mixing paths and proportions. • NO 3 − controlled…
Key Innovation: Abstract Limited high-resolution geochemical data in heterogeneous critical zones (CZ) constrain understanding of hydrological and hydrochemical processes, especially in urbanizing mountainous regions
206. Quantifying groundwater discharge and associated nutrient fluxes to the Honghu Lake, central China
Core Problem: Highlights • Multiple environmental tracers indicate spatio-temporal variations of LGD rates. • Groundwater extraction has led to a decrease in LGD rates. • Groundwater flow…
Key Innovation: The present study investigated the spatiotemporal variations in LGD and associated nutrient fluxes in Honghu Lake, a large eutrophic lake in central China, using tracers…
207. Decadal dynamics of wetland soil carbon driven by hydrological variability
Core Problem: Here, we conducted a decade-long in-situ observation in the Poyang Lake wetland, China, to assess the influence of hydrologic variability on SOC and to elucidate…
Key Innovation: Abstract Wetlands constitute a major global carbon sink and play a pivotal role in climate change mitigation
208. From raw to reliable: machine learning bias correction of reanalysis data for improved drought severity classification
Core Problem: Graphical abstract Highlights • Machine learning reduced bias in reanalysis and satellite-based climate datasets. • Random forest outperformed regression and quantile methods under strict validation…
Key Innovation: Among the machine learning approaches evaluated, RF emerged as the most reliable overall method when considering both temporal and spatial generalization
209. Augmenting observation network design and assimilation frequency in distributed hydrological models: insights from the LISFLOOD-based hydrological data assimilation framework
Core Problem: Abstract This study presents the development and application of a spatially distributed hydrological data assimilation framework (LISFLOOD-HDAF) to investigate the influence of assimilation frequency, gauge…
Key Innovation: Abstract This study presents the development and application of a spatially distributed hydrological data assimilation framework (LISFLOOD-HDAF) to investigate the influence of assimilation frequency, gauge…
210. Propagation mechanisms of meteorological to hydrological events in inland river basins of Northwest China: Considering compound climate changes
Core Problem: Highlights • A diagnostic framework of meteorological to hydrological propagation was developed. • Drought propagation in eastern grassland basins was enhanced under a warming–drying trend…
Key Innovation: Highlights • A diagnostic framework of meteorological to hydrological propagation was developed. • Drought propagation in eastern grassland basins was enhanced under a warming–drying trend…
211. Microplastics act as biogeochemical amplifiers of nitrogen cycling in coastal groundwater: Differential effects under palaeo-saltwater and modern seawater intrusion regimes
Core Problem: Graphical abstract Highlights • Microplastic (MP) sources and pathways depend on intrusion type (palaeo vs. modern) • MPs reshaping nitrogen cycle increase ammonium accumulation and…
Key Innovation: Graphical abstract Highlights • Microplastic (MP) sources and pathways depend on intrusion type (palaeo vs. modern) • MPs reshaping nitrogen cycle increase ammonium accumulation and…
212. Ensemble artificial neural network and generalized additive model for data-scarce regional frequency analysis in design flood estimation
Core Problem: Highlights • Prediction models for flood estimation in data-scarce regions of South Korea. • Ensemble ANN, GAM, CCA-GAM explored for utility. • CCA-GAM was chosen…
Key Innovation: Abstract Designing reliable hydraulic structures is crucial to mitigate the increasing risk of floods
213. Dense stands of aquatic plants retain water in lowland rivers and in adjacent floodplain aquifers
Core Problem: Graphical abstract Highlights • Mean discharge declined by about 50 % in the lower River Spree since the 1980s. • In periods without aquatic vegetation…
Key Innovation: Abstract Dense stands of aquatic plants narrow the flow cross section and increase the hydraulic roughness, elevating the water level at a given discharge
214. Uplift resistance mechanism of pipes in lightweight backfill material of ceramsite
Core Problem: Graphical abstract Abstract Buried pipelines crossing active fault zones undergo significant seismic displacement, inducing substantial soil resistance that can damage the pipe structure
Key Innovation: This study investigates the suitability of ceramsite—a lightweight material characterized by its smooth surface and low density—as a novel backfill, specifically examining why it generates…
215. A unified fractional-order viscoplastic fatigue damage model for rock materials under cyclic loading with creep effects
Core Problem: This study presents a fractional-order viscoplastic fatigue–damage model to investigate the long-term deformation behavior of rock materials considering creep effects
Key Innovation: Fractional calculus is introduced to establish a unified constitutive framework that couples viscoplastic deformation with damage evolution
216. Quantitative investigation of macro–micro correlation for inherently anisotropic time-dependent granular materials
Core Problem: This study innovatively proposes an alternative analytical approach for investigating multiscale creep responses of granular assemblies with inherent anisotropy by using theories of micromechanics and…
Key Innovation: As a verification step, the proposed analytical results agree with numerical predictions performed by discrete element method (DEM) simulations
217. THMC multi-field coupled constitutive model for unsaturated soils incorporating salinity effects
Core Problem: To address this gap, we propose a novel THMC coupled constitutive model for unsaturated soils within the granular solid thermodynamics framework
Key Innovation: To address this gap, we propose a novel THMC coupled constitutive model for unsaturated soils within the granular solid thermodynamics framework
218. Scattering of SV waves by the canyon topography: Numerical analysis and shaking table test verification
Core Problem: The canyon topography exerts significant scattering amplification effects on seismic ground motions
Key Innovation: In this paper, the numerical solution for the scattering of SV waves induced by a V-shaped canyon is derived based on the singular boundary method
219. Non-parametric ground motion duration and energy-based intensity measure models: A novel stacking ensemble model using regional seismic data
Core Problem: This study leverages data-driven Machine Learning (ML) algorithms and Türkiye's regional ground motion (GM) database (1983–2025) to predict significant durations (D 5–75 , D 5–95…
Key Innovation: Compared with established empirical equations (e.g., BSA09 for duration and CB19 for CAV), the proposed framework achieves a 20–25 % reduction in total variability (σ)…
220. An enhanced semi-active nonlinear negative stiffness control strategy based on isolation-story displacement triggering
Core Problem: This study proposes a displacement-triggered semi-active nonlinear negative stiffness device (DTSA-NNSD) control strategy to enhance the seismic resilience of base-isolated structures
Key Innovation: The device employs a helical spring-based nonlinear mechanism that provides adaptive negative stiffness under controlled compression
221. DAS scaling relations for S-waves in Mexico City: From peak ground motion to spectral amplitude and acceleration assessment
Core Problem: Distributed Acoustic Sensing (DAS) is popular in seismological research for its high-resolution, spatially distributed seismic records
Key Innovation: Unlike conventional seismic instruments, DAS measures strain rate, which requires appropriate scaling to interpret the data in terms of ground motion
222. Improvement of seismic wave detection using genetic algorithm–based optimized FIR filters
Core Problem: Seismic signals are used for the detection of ongoing earthquakes, the assessment of their magnitudes, and the identification of their source locations
Key Innovation: A novel genetic algorithm (GA)–based window function was developed to achieve an efficient filter design by minimizing undesirable side lobes and fluctuations in the transition…
223. Robustness analysis of HVSR-derived soil fundamental frequency estimates in an urban seismic network
Core Problem: Microtremor data acquired using permanent and temporary seismic deployments within the city of Barcelona were used to systematically analyze the robustness of the soil fundamental…
Key Innovation: The analysis considers different time-window lengths, times of day, and seasons of the year
224. Novel self-centering damper for seismic resilience: development, modeling, and validation
Core Problem: Recently, self-centering systems have been proposed to address these challenges by combining energy dissipation with automatic recentering
Key Innovation: This study introduces a novel energy-dissipative self-centering damper (NEDSCD) that couples the high energy dissipation of metallic yielding dampers with the reliable recentering ability of…
225. Generation of spectrum-compatible near-fault ground motions based on time-domain wavelet superposition
Core Problem: Conventional techniques for generating spectrum-compatible ground motions are inadequate for near-fault ground motions due to the presence of velocity pulses in certain near-fault ground motions
Key Innovation: This study presents a method for generating spectrum-compatible ground motions that applies to all types of near-fault ground motions (forward-directivity, fling-step, and non-pulse ground motions)
226. Seismic pulse propagation: Analytical modeling and exact soliton solutions
Core Problem: Seismic wave modeling plays a fundamental role in petroleum and natural gas exploration, earthquake engineering, and environmental sciences
Key Innovation: The analytical framework is constructed through the Jacobi elliptic function method, which enables the generation of soliton and rogue-wave-type structures within nonlinear dispersive media
227. Normalized response spectrum of near-fault pulse-like ground motions (PLGMs) based on PGA and PGD attenuation
Core Problem: To address these issues, this study proposes a direction-independent normalized pseudo-velocity response spectrum ( PSv n ) prediction model
Key Innovation: Although conventional design spectrum and normalization methods have improved the smoothness and comparability of spectral shapes, they still do not sufficiently capture pulse effects and…
228. Characterization of dynamic behavior of clay-gravel mixtures under high cyclic strains in undrained triaxial conditions
Core Problem: This study investigates the variations of strain-dependent shear-modulus reduction and damping for saturated clay-gravel mixtures (CGMs) under varying gravel content (GC) and effective confining pressure…
Key Innovation: A series of large-scale, strain-controlled undrained cyclic triaxial tests were conducted covering shear strain γ of 0.075–7.5 % and p′ of 400–1400 kPa for multiple…
229. A stochastic synthesis method for near-fault ground motions incorporating fling-step effects
Core Problem: To realistically simulate the pulse characteristics associated with the fling-step effect in near-fault ground motions, a comprehensive stochastic pulse synthesis model, termed FNSDR-GW-FS, is proposed
Key Innovation: The model integrates a high-frequency stochastic ground motion simulation based on a fully nonstationary spectral representation with an improved Gabor wavelet–based modeling of low-frequency velocity…
230. Seismic performance of simply supported hot rolled shape steel–UHPC composite girder bridges under near-fault ground motions
Core Problem: To address this gap, the seismic response of a typical simply supported HRSS-UHPC bridge is analyzed and quantified under near-fault ground motions using Incremental Dynamic…
Key Innovation: The hot rolled shape steel (HRSS)–ultra high performance concrete (UHPC) composite girder bridge proposed by the authors is a novel bridge type, which can achieve…
231. Seismic input method for layered soils in static-dynamic coupling analyses based on infinite element boundaries
Core Problem: For static-dynamic coupling analysis of soil–structure interaction (SSI) in semi-infinite layered soils under seismic actions, careful attention must be paid to both the inconsistency between…
Key Innovation: Subsequently, the time delay method (TDM) is combined with wave theory to develop a seismic input method for layered soils with infinite element boundaries
232. Enhanced earthquake occurrence time prediction: A hybrid LSTM-Kalman Filter approach
Core Problem: Complex temporal patterns and noisy nature of seismic data persistently challenge researchers seeking to predict earthquake timing with high accuracy
Key Innovation: Existing deep learning methods often suffer from error accumulation in sequential predictions and lack effective mechanisms for dynamic adjustment
233. Vibration mitigation for high-rise buildings by a single-sided vibro-impact bistable nonlinear energy sink
Core Problem: The aim is to provide an effective vibration control device for mitigating seismic responses in high-rise buildings while balancing multiple factors from a practical perspective,…
Key Innovation: Highlights • Proposes a novel single-sided vibro-impact bistable nonlinear energy sink (SSVI-BNES) for seismic vibration control. • Effectively balances seismic performance with practical constraints: low…
234. Rapid evaluation of post-earthquake track irregularity and running safety threshold of railway track-bridge systems
Core Problem: To rapidly evaluate the post-earthquake operational capacity of these RTBSs, a rapid assessment method has been developed to determine regional safety speed threshold
Key Innovation: To rapidly evaluate the post-earthquake operational capacity of these RTBSs, a rapid assessment method has been developed to determine regional safety speed threshold
235. 3-D seismic response of moment-resisting frame considering soil-structure interaction: A semi-analytical solution
Core Problem: Large-span structures exhibit closely spaced modes of vibration, and are highly sensitive to vertical vibrations
Key Innovation: Soil-structure interaction (SSI) alters the dynamic characteristics of these structures and introduces additional damping effects, which may adversely affect the seismic performance
236. Life-cycle seismic performance assessment of free-spanning submarine pipelines considering vortex-induced vibration (VIV) fatigue effect
Core Problem: Vortex-induced vibration (VIV) of suspension segments is an indeed critical factor of contributing to structural fatigue damage of free-spanning submarine pipelines (FSSPs)
Key Innovation: Moreover, FSSPs may encounter destructive earthquake events during their service lives
237. Developing intensity prediction equations from ground-motion parameters in the northwestern Himalaya
Core Problem: This study presents a newly developed empirical regression relationship relating macroseismic intensity with ground motion parameters, particularly peak ground acceleration (PGA) and peak ground velocity…
Key Innovation: The analyses utilize 270 strong-motion records from 76 earthquakes (3.5 ≤ Mw ≤ 7.6) that occurred between 1976 and 2024, with hypocentral distances extending up…
238. A modified stiffness matrix method based on precise integration method for free-field motion of layered transversely isotropic site
Core Problem: This study aims to fill this gap by investigating the seismic response of layered transversely isotropic sites
Key Innovation: A modified stiffness matrix method based on the precise integration method (PIM) is proposed, which is employed to derive the dynamic stiffness matrices of both…
239. Design, mechanical model, and seismic performance of a novel variable-stiffness SMA damper
Core Problem: In bridge seismic isolation, achieving an optimal balance between isolation and displacement control is essential for ensuring structural resilience
Key Innovation: This study proposes a novel variable-stiffness SMA cable damper based on a series–parallel conversion mechanism
240. Seismic reliability analysis of aqueduct structures considering uncertainty in magnetorheological damper gaps
Core Problem: To clarify how manufacturing-induced damping-gap deviations affect the seismic performance of aqueducts controlled by magnetorheological (MR) dampers, this study proposes an integrated experimental–numerical–reliability framework
Key Innovation: To clarify how manufacturing-induced damping-gap deviations affect the seismic performance of aqueducts controlled by magnetorheological (MR) dampers, this study proposes an integrated experimental–numerical–reliability framework
241. Soil-damped structure interaction analysis considering deep reinforcement learning-driven soil mesh optimization
Core Problem: To address this issue, this study proposes a novel deep reinforcement learning (DRL)-based mesh-seeking method for critical regions in soil modeling
Key Innovation: To address this issue, this study proposes a novel deep reinforcement learning (DRL)-based mesh-seeking method for critical regions in soil modeling
242. Simplified assessment of corroded structures
Core Problem: Considering the condition of the reinforcement complicates further the problem of seismic assessment
Key Innovation: However, the guidelines do not consider the condition of reinforcement, which was proven to affect the member's residual mechanical properties, the hierarchy of failure modes…
243. Sensitivity of seismic pile responses to interface assumptions under SH-wave incidence incorporating the coupling effect between debonding and sliding
Core Problem: While the critical influence of dynamic pile-soil interaction on seismic responses has been recognized, their sensitivity to interface assumptions is still largely underexplored
Key Innovation: To elucidate this sensitivity and the underlying coupling effect, a novel continuum-based model is developed to derive transfer functions relating seismic pile responses to free-field…
244. Overturning resistance of rocking columns with novel self-centering unilateral viscous damper pulley systems (SUVDPS)
Core Problem: Rocking columns possess re-centering capability, but their energy dissipation capacity is limited, which may lead to significant response and even cause overturning under seismic excitation
Key Innovation: To deal with such issues, a novel self-centering unilateral viscous damper pulley system (SUVDPS) based on the amplification mechanism of pulleys is here proposed as…
245. Horizontal vibration characteristics of end bearing pile under SH wave in saturated frozen soil considering the influence of superstructure
Core Problem: To address this issue, this study establishes a horizontal vibration model of piles in saturated frozen soil considering the SH wave-vertical load coupling effect
Key Innovation: To address this issue, this study establishes a horizontal vibration model of piles in saturated frozen soil considering the SH wave-vertical load coupling effect
246. Displacement amplification factor function for tunnel-form concrete buildings: A case study based on probabilistic and multi-level approaches
Core Problem: To address the challenges, the present study applies probabilistic and multi-level approaches to derive ad-hoc displacement amplification factors for tunnel-form concrete system
Key Innovation: To address the challenges, the present study applies probabilistic and multi-level approaches to derive ad-hoc displacement amplification factors for tunnel-form concrete system
247. Seismic performance of prefabricated multi-stage metal knee brace dampers
Core Problem: To address the issues of rapid stiffness degradation, misaligned energy dissipation timing, and inadequate bearing capacity in traditional metal dampers under extreme loads, this study…
Key Innovation: To address the issues of rapid stiffness degradation, misaligned energy dissipation timing, and inadequate bearing capacity in traditional metal dampers under extreme loads, this study…
248. A macro-element for circular shallow foundations on rigid inclusion-reinforced soil
Core Problem: This study presents a plasticity-based macro-element (ME) for circular shallow foundations on rigid-inclusion (RI)-reinforced, layered soils subjected to seismic loading
Key Innovation: The formulation includes: (i) an inclined interaction ellipse in the ( h , m ) plane with closed-form sizing and tilt ( a , b…
249. Residual vertical load-carrying capacity of rectangular reinforced concrete columns after earthquakes: experimental investigation and empirical model
Core Problem: In recent years, the residual vertical load-carrying capacity (VLC) of damaged reinforced concrete (RC) columns after strong earthquakes has gained increasing attention
Key Innovation: Reliable estimation of post-earthquake residual VLC is of significant importance for evaluating the seismic collapse safety and post-earthquake functionality of structures
250. Piles in two-layered soils subjected to S-waves: Comparative analysis and simplified analytical solutions
Core Problem: The seismic response of piles embedded in layered soils is strongly affected by kinematic demands that arise at soil interfaces with sharp stiffness contrasts
Key Innovation: This study compares Euler–Bernoulli and Timoshenko beam formulations within a two-parameter Winkler foundation framework, assessing the influence of soil–pile tangential stresses and shear distortions on…
251. Thermal response and effectiveness of water impoundment pre-thawing foundation for high-speed railway subgrade in island permafrost regions
Core Problem: This study addresses the challenge of controlling thermal stability of island permafrost in high-speed railway subgrades affected by climate warming, increased wetting, and engineering disturbances
Key Innovation: A novel foundation treatment technology based on water impoundment pre-thawing is proposed
252. Assessment of pavement–subgrade deformation in permafrost highways using UAV photogrammetry and ground-penetrating radar: Case study of Qinghai–Tibet highway
Core Problem: UAV-derived digital surface models are used to quantify rut depth, roughness and longitudinal/transverse elevation differentials, whereas 2D GPR profiles and depth-dependent reflection-intensity maps are interpreted…
Key Innovation: Freeze–thaw cycles, water migration and heavy traffic loads produce rutting, corrugation and differential settlement at the surface, but their relationship to subsurface anomalies is not…
253. Evaluating the performance differences between standard and elasticized EPS used in integral abutments
Core Problem: While EPS is expected to behave elastically, if plastic deformations occur, this may create a gap and ultimately lead to settlement issues
Key Innovation: This study presents a novel testing methodology to evaluate the performance of the EPS based on cyclic strain controlled load, applied at a rate determined…
254. Experimental investigation of the accumulated axial strain of mud-fouled ballast under long-term cyclic loading
Core Problem: Subsequent cyclic triaxial tests were used to assess the accumulated axial strain ( ε acc ) and resilient modulus ( M R ) in relation…
Key Innovation: Initial computed tomography (CT) scans revealed the internal structure of mud-fouled ballast with varying fouling levels (VCIs)
255. Unified pseudo-static seismic reduction factors for shallow foundations via an earth-pressure framework
Core Problem: This paper presents a unified and physically consistent method for evaluating the seismic bearing capacity of shallow foundations, based on classical earth pressure theory and…
Key Innovation: The framework is rigorously calibrated against the finite element method, in which the models are deliberately extended and lateral boundaries sloped on the failure side…
256. A section-adapted intelligent warning method for strain rockbursts in open TBM tunnels
Core Problem: Rockbursts that occur in the shield, main beam, and post-beam sections of open tunnel boring machine (TBM) tunnels during construction pose distinct threats to personnel…
Key Innovation: Therefore, section-adapted rockburst risk warnings are necessary
257. Hydromechanical modeling of CO2 injection into a saline aquifer: Analytical solution and fault-related seismicity assessment
Core Problem: Analytical hydromechanical tools for predicting CO2-injection-induced fault reactivation and seismicity in saline aquifers remain limited.
Key Innovation: Develops an analytical hydro-mechanical framework linking pressure diffusion, stress perturbation, and fault stability criteria to estimate reactivation potential.
258. Microscopic production characteristics and fluid behavior of shale oil in CO2–cosolvent SAG process: Insights into EOR and carbon storage
Core Problem: Non-equilibrium molecular dynamics method was employed to simulate dimethyl ether (DME) and ethyl acetate (EA) assisted CO 2 flooding, huff-n-puff, and SAG in organic–inorganic composite…
Key Innovation: Non-equilibrium molecular dynamics method was employed to simulate dimethyl ether (DME) and ethyl acetate (EA) assisted CO 2 flooding, huff-n-puff, and SAG in organic–inorganic composite…
259. Identification of coal-rock interface under uniaxial compression using electric potential method
Core Problem: The instability of composite coal-rock structures can easily trigger severe dynamic disasters, such as rockbursts
Key Innovation: The application of electric potential (EP) method shows promise for disaster prediction and accurate identification of coal-rock interfaces
260. Mineral-specific meso-mechanical degradation and microcrack evolution in granite induced by cyclic heating and LN2-cooling
Core Problem: Mineral-specific degradation pathways in granite under cyclic heating and LN2 cooling are not well constrained from meso- to micro-scale.
Key Innovation: Combines multi-modal microstructural/mechanical characterization with a two-parameter statistical screening method to quantify phase-dependent damage and crack evolution.
261. Acoustic emission characteristics of rock salt under multistage creep-fatigue loading at various temperatures
Core Problem: With the growing global demand for energy, deep underground salt caverns are emerging as a potential solution for large-scale energy storage
Key Innovation: In this study, multistage cyclic loading tests were conducted on rock salt at different temperatures in combination with real-time acoustic emission (AE) monitoring
262. Caprock sealing for geologic CO2 storage: Research advances, challenges and prospects
Core Problem: The sealing capacity of caprock is critical for preventing CO 2 migration and ensuring the safety of geological storage
Key Innovation: However, existing research lacks a comprehensive overview of its sealing mechanisms and failure risks
263. Micro-macroscale creep behaviors of salt rock subjected to thermal shock and associated constitutive model
Core Problem: To elucidate the cyclic creep mechanisms in China's impure salt rock after high-temperature damage, cyclic nanoindentation and uniaxial cyclic loading tests were conducted at 25…
Key Innovation: The results revealed that under cyclic nanoindentation, gypsum mineral exhibited significantly lower indentation depths compared to halite and ankerite minerals, indicating superior resistance to deformation
264. Unravelling the frequency and magnitude of large wood mobility and transport distance across 11 low‐order streams over multiple years
Core Problem: A synthesized dataset of 59,739 observations of tracked wood pieces across 11 rivers from the Chilean Andes, Swiss Alps, United Kingdom and United States was…
Key Innovation: Return periods for substantial wood loads mobilized and long‐distance transport typically exceed 10 years, but values represent ‘non‐extreme’, relatively frequent flood scenarios
265. Characterization of the wood transport regime of a river with a neural network model
Core Problem: The results quantify wood transport probabilities and relationships with discharge, providing new insights into the role of large wood in river dynamics and management
Key Innovation: The results quantify wood transport probabilities and relationships with discharge, providing new insights into the role of large wood in river dynamics and management
266. The floodplain wood budget: Linking wood dynamics and ecogeomorphic processes
Core Problem: Understanding floodplain wood transport, deposition and storage is necessary to fully close wood budgets in river corridors (the channel, floodplain and hyporheic zone)
Key Innovation: We review current understanding of wood dynamics in floodplains using a floodplain wood budget to highlight the processes that change floodplain wood storage, and we…
267. Seismic Attenuation Tomography in Central Myanmar and Its Implications on Continental Subduction and Arc Magmatism
Core Problem: Abstract Myanmar is located on the eastern margin of the India‐Eurasia collision zone, where the Indian sub‐continent is subducting beneath the Burma microplate
Key Innovation: Here, we use the coda‐normalized method to image the lithospheric‐scale 3D attenuation structure in the Indo‐Burma subduction zone
268. Deep Sources of Recent Volcanism in Armenia Inferred From Ambient Noise Tomography
Core Problem: Abstract We perform Rayleigh wave ambient noise tomography to investigate crustal seismic velocity structure and sources of volcanism in Armenia
Key Innovation: Armenia, a key part of the tectonically and volcanically active Caucasus‐Anatolia region, is actively being deformed by the ongoing Arabian‐Eurasian continental collision
269. Crustal Structure Across the Okavango Rift, Botswana: The SEISORZ Wide‐Angle Seismic Experiment
Core Problem: The lack of syn‐rift magmatism and tectonic processes overprinting pre‐rift structures provide an opportunity to investigate incipient‐stage rift processes and the role of pre‐existing structures…
Key Innovation: We present SEISORZ, a ∼450‐km‐long wide‐angle seismic transect across the ORZ and neighboring tectonic terranes
270. Seismological Characterization of Northern Hikurangi Margin Slow Slip Regions Associated With Normal Faults, Seamounts, and Seeps
Core Problem: Here we investigate this deeper region and examine relationships between newly resolved SSEs and seismicity
Key Innovation: Although shallow SSEs (0–10 km) are well‐studied offshore, the deeper portion (10–30 km) remains poorly understood, limiting insight into SSE initiation
271. The Magmatic‐Hydrothermal System of the Three Sisters Volcanic Cluster, Oregon, Imaged From Field Gravity Measurements
Core Problem: Abstract From 2019 to 2024, gravity surveys were conducted at the Three Sisters volcanic cluster (TSVC), measuring 246 gravity sites using a spring relative gravimeter
Key Innovation: We calculated the residual Bouguer anomaly and identified three main zones with negative anomalies, ranging from −4 to −8 mGal, located southwest and west of…
272. Geothermal Reservoir Characterization at Utah FORGE Using DAS Microseismic Imaging
Core Problem: Abstract Accurate characterization of fracture geometry and reservoir structure is essential for the successful design and development of Enhanced Geothermal Systems (EGS)
Key Innovation: Conventional surface seismic imaging often lacks the resolution to delineate hydraulic fractures at depth due to strong attenuation and limited source frequency
273. Hydroacoustic Observations of the 15 January 2022 Hunga Tonga‐Hunga Ha'apai Eruption: The Role of Bathymetry Along the Path
Core Problem: We analyze mid‐oceanic column acoustic pressure recordings from 24 freely drifting Mobile Earthquake Recorder in Marine Areas by Independent Divers sensors, and from 11 moored…
Key Innovation: We analyze mid‐oceanic column acoustic pressure recordings from 24 freely drifting Mobile Earthquake Recorder in Marine Areas by Independent Divers sensors, and from 11 moored…
274. Spatial Interactions Govern Tectonic Tremor Activities in the Nankai Trough: A Statistical Approach for Spatiotemporal Pattern Modeling and Anomaly Detection
Core Problem: Abstract Establishing a quantitative framework to evaluate the spatiotemporal patterns of slow earthquakes and to detect their anomalous activities is essential for understanding diverse slip…
Key Innovation: We develop a probabilistic model based on a multivariate Hawkes process to describe both the temporal and spatial characteristics of their activity
275. Inelastic Dilatancy as a Mechanism for Coseismic Fluid Depressurization of a Shallow Fault Zone
Core Problem: Abstract Hydrologic observations and experimental studies indicate that inelastic dilation from coseismic fault damage can cause substantial pore pressure reduction, yet most near‐fault hydromechanical models…
Key Innovation: Here, we present a 3‐D groundwater flow model incorporating the effects of inelastic dilation based on an earthquake dynamic rupture model with inelastic off‐fault deformation,…
276. An Entropic Explanation for Gutenberg‐Richter Scaling
Core Problem: These simple assumptions define an (under‐determined) non‐negative least squares inverse problem
Key Innovation: Abstract We develop a simple explanation for Gutenberg‐Richter (G‐R) size scaling of earthquakes on a single fault
277. Inherited Lithospheric Structure Controls Cenozoic Intraplate Basaltic Volcanism in Central Mongolia Due To Mantle Upwelling
Core Problem: The Cenozoic long‐lived (∼30 Myr) and diffuse intraplate volcanism in central Mongolia is an ideal natural lab to address this issue
Key Innovation: Here we present a high‐resolution lithospheric 3‐D shear‐wave velocity model using ambient noise tomography with data mainly from two dense seismic arrays
278. Intraplate Volcanism Driven by Slab‐Plume Interaction: Numerical Modeling and Its Application to the Eifel, Massif Central and Hainan Volcanic Areas
Core Problem: Abstract Intraplate volcanism has long been linked to deep mantle plumes
Key Innovation: However, recent studies showed that intraplate magmatism can originate from transition zone dynamics, where lower‐mantle plumes might be ponding, creating a Thermal Boundary Layer (TBL)
279. Multi‐Observable Thermochemical Tomography: New Advances and Applications to the Superior and North Australian Cratons
Core Problem: Moreover, the increased demand for critical minerals and geothermal energy driven by the energy transition has intensified the need for reliable subsurface models
Key Innovation: Here, we present an updated MTT formalism and assess its benefits and limitations to image the thermochemical structure of the lithosphere‐asthenosphere system
280. Leveraging Local Depth Phases for Improved Hypocenter Analysis and Discovery of a Thick Seismogenic Zone in Ridgecrest, California
Core Problem: To address this challenge, we have developed an integrative procedure for reliably and efficiently identifying the sP depth phase in local and regional seismic records
Key Innovation: After picking the traveltimes of first‐arriving P, S waves and sP depth phases, we sequentially refine earthquake hypocenter (longitude, latitude and depth) and origin time…
281. Modeling and Inversion for Wave Propagation in Tight Sandstone Reservoirs Using Machine Learning
Core Problem: Abstract Understanding wave propagation in subsurface reservoirs is an important topic in exploration geophysics
Key Innovation: Using machine learning (ML), this study aims to develop a hybrid modeling approach that uses data techniques while maintaining the reliability of poroelasticity theory
282. Fluid‐Induced Earthquake Nucleation on Aging Rate‐and‐State Faults: Influence of Hydraulic Diffusivity and Injection Rate Under Different Nucleation Regimes
Core Problem: In this study, we perform numerical simulations to investigate how hydraulic diffusivity and injection rate affect the nucleation length of injection‐induced seismicity on (aging) rate‐and‐state…
Key Innovation: Recent laboratory experiments suggested that injection can also act as a loading condition, with the nucleation length shortening under high‐rate injection
283. Imaging of Magma Intrusion Below La Palma During a Strong Effusive Eruption in 2021 Inferred From Repeated Seismic Tomography
Core Problem: Abstract The 2021 eruption of Cumbre Vieja on La Palma, Canary Islands, provided a unique opportunity to investigate the dynamics of magma migration and storage…
Key Innovation: In this study, we employ repeated seismic tomography to image temporal changes in the subsurface structure beneath La Palma, using body‐wave travel times from local…
284. Two Transitions in the D″: A Pyrolitic Deep Lower Mantle and a Ca‐Rich Bridgmanite Altering Chemistry at the CMB as Determined by Ab Initio Calculations
Core Problem: Abstract The D″ is a layer lying below a seismic discontinuity that occurs ∼250 km above the Core‐Mantle boundary (CMB)
Key Innovation: A commonly proposed origin of this discontinuity is the transformation of bridgmanite (Bdm) to a post‐perovskite structure (Bdm‐ppv) but this generally produces results that do…
285. Peeling Off of Crustal Eclogite From the Downgoing Slab at the Top of the Lower Mantle
Core Problem: In this study, we systematically investigate the influence of key parameters—including the viscosity structure within and surrounding the slab, the Clapeyron slope of the ringwoodite‐bridgmanite…
Key Innovation: However, its controlling factors and geodynamic feasibility remain debated
286. P‐Wave First‐Motion Polarity Determination Using Order Statistics and Entropy Theory (POSE) With Applications to Southeastern Tibetan Plateau
Core Problem: Abstract The Focal Mechanism Solutions (FMSs) of small earthquakes provide valuable insights into crustal structure and stress conditions, while its reliability is limited by the…
Key Innovation: In this study, we develop an FMS determination workflow based on a rule‐based Polarity picker using Order Statistics and Entropy theory (POSE)
287. Olivine‐Ahrensite Phase Relations in the Mg2SiO4‐Fe2SiO4 System as a Function of Temperature
Core Problem: Abstract Olivine and ahrensite are the primary components of the interiors of Fe‐rich terrestrial planets and meteorites, making their phase relations crucial for planetary science
Key Innovation: Moreover, their phase relations can be used for calibrating large‐volume high‐pressure devices such as multi‐anvil apparatus
288. Crustal Sources of Geothermal and Magmatic Activity in the Area of Mutnovsky‐Gorely Volcanic Complex (Kamchatka) Inferred From Ambient Noise Tomography
Core Problem: Abstract The Mutnovsky and Gorely volcanoes in Kamchatka, located 70–80 km southwest of Petropavlovsk‐Kamchatsky, pose significant hazard due to their potential for explosive eruptions
Key Innovation: Mutnovsky also hosts the Mutnovsky Geothermal Power Plant (MGPP)
289. Rupture Directivity From Energy Envelope Deconvolution: Theory and Application to 58 Ridgecrest M 3.5–5.5 Earthquakes
Core Problem: Abstract Earthquake rupture directivity impacts ground motions and provides insights on fault zone properties and earthquake physics
Key Innovation: Here, we develop a new approach that deconvolves energy envelopes of the S wave trains to remove path and site effects and robustly resolve azimuthal…
290. Seismic Anisotropy and Mantle Deformation Beneath Northeast China: Insight From Shear Wave Splitting Analysis
Core Problem: Abstract This study investigates upper mantle deformation beneath northeast (NE) China by reanalyzing shear wave splitting measurements from the WAVESArray network
Key Innovation: We identify potential overestimations of anisotropy strength in previous studies, likely caused by sensor misorientation and misclassification of null measurements
291. Water Incorporation Mechanisms and Effects in MgSiO3‐Majorite Under High Temperature and Pressure Conditions
Core Problem: Abstract The incorporation of water in high‐pressure minerals is essential for the water cycle within the interiors of terrestrial planets
Key Innovation: Majoritic garnet, a major component in the mantles of Earth and Mars, plays a significant role in this context
292. Brittle and Crystal‐Plastic Defect Dynamics of Calcite Single Crystals
Core Problem: Abstract The response of Earth materials to stress has a first‐order control on solid‐Earth dynamics ranging from earthquakes to volcanic eruptions to landslides
Key Innovation: Thus, understanding the rheological behavior of minerals, preferentially at a micro‐scale to allow process‐based upscaling, has broad applications across the Earth sciences
293. Extreme Potomac Floods at Washington D.C. During the Past 500 Years
Core Problem: Abstract Washington D.C. faces one of the highest 100‐year flood risks of any major city along the U.S
Key Innovation: East Coast
294. Wind‐Driven Coastal Polynya Variability Drives Decadal Ice‐Shelf Melt Variability in the Amundsen Sea
Core Problem: Abstract The ice shelves in the Amundsen Sea are being melted rapidly by warm Circumpolar Deep Water (CDW), causing sea‐level rise
Key Innovation: Ice‐shelf melt variability is controlled by the speed of a shelf‐break undercurrent which transports CDW onto the continental shelf
295. Revealing the Formation and Control of NYC Downwind Coastal High Ozone via New TEMPO Observations
Core Problem: Abstract Extreme ozone events along Long Island's south shore—a key downwind region of New York City—remain poorly understood due to limited spatial observations
Key Innovation: We show that the new geostationary TEMPO satellite enables hourly tracking of urban plume transport, dispersion, and ozone formation across complex coastal environments
296. The Intensification Rate for Tropical Cyclones to Reach Category 1 and Above Intensity
Core Problem: Abstract While rapid intensification (RI, ≥30 kt/24hr) is known to be crucial for major hurricanes, the broader role of maximum intensification rate in shaping tropical…
Key Innovation: Using global best‐track data from 1982 to 2023, we show that experiencing an intensification rate of 20–25 kt/24hr, defined as critical intensification (CI), is a…
297. Southern Ocean Sulfate Aerosol Sources Quantified From Sulfur Isotopes in Antarctic Ice Cores
Core Problem: Abstract The Southern Ocean has emerged as a key region for constraining aerosol‐climate interactions due to its relatively low anthropogenic influence
Key Innovation: Sulfate is an important aerosol over the Southern Ocean, and models suggest dimethyl sulfide (DMS) is the largest source of sulfate during summer
298. Crustal Flow‐Driven Plateau Growth and Expansion Front in NE Tibet: Insights From High‐Resolution Attenuation Tomography With High‐Density ChinArray Lg Data
Core Problem: Abstract The Northeastern (NE) Tibet, as the front of plateau growth, widely absorbs northeastward extrusion, leading to significant uplift and forming a basin‐mountain tectonic framework
Key Innovation: Abstract The Northeastern (NE) Tibet, as the front of plateau growth, widely absorbs northeastward extrusion, leading to significant uplift and forming a basin‐mountain tectonic framework
299. Wildfire Ignition‐Day Vapor Pressure Deficit Trend and Its Weakening Atmospheric Circulation Control Over the Western United States
Core Problem: Abstract Vapor pressure deficit (VPD) is a key fire weather indicator linked to increased burned areas in western US
Key Innovation: Despite a strong increase in regional VPD due to climate change, we find no significant trend in VPD on fire ignition days (VPDF)
300. Estimating Soil Electrical Parameters in the Canadian High Arctic From Impedance Measurements of the MIST Antenna Above the Surface
Core Problem: Abstract The MIST experiment aims to detect the cosmological 21‐cm signal through sky observations at 25–125 MHz using a wide‐beam antenna
Key Innovation: The antenna is mounted above the soil and the beam characteristics are highly dependent on the soil's electrical properties
301. AVIRIS‐3 Rapid Response to January 2025 Los Angeles Wildfires
Core Problem: Abstract Wildfires in wildland‐urban interfaces (WUIs) are a growing concern due to their devastating impact on human communities and ecosystems
Key Innovation: Low‐latency impact assessment is critical for wildfire response, yet immediate access to fire‐affected communities can be limited
302. Subseasonal Forecasts of TC Activity in the Western North Pacific in Navy's Earth System Prediction Capability
Core Problem: Abstract We evaluate the ability of Navy's Earth System Prediction Capability (Navy ESPC) to forecast tropical cyclone (TC) activity in the Western North Pacific basin…
Key Innovation: Navy ESPC forecasts of TCs were added to a logistic regression model that also incorporated the Madden‐Julian Oscillation (MJO) and El Niño Southern Oscillation to…
303. Event‐Level Linkages Between Atmospheric Circulation and Anomalous Precipitation Types in a Typical East Asian Monsoon Basin
Core Problem: Abstract Anomalous precipitation, with unexpected intensity and/or spatiotemporal structures, makes flood risk management in the East Asian monsoon regions challenging, where interacting circulation systems generate…
Key Innovation: We develop an event‐level quantitative framework based on a novel lightweight Trans‐Unet model and apply it to the Hanjiang River Basin as proof‐of‐concept using a…
304. Flocculated Silt, Not Clay, Dominates River Suspended Sediment Load
Core Problem: Abstract River mud builds fertile floodplains, combats land loss due to sea level rise, and buries vast amounts of organic carbon
Key Innovation: These processes rely on mud settling velocity, which is set by the grain size, mineralogy, and flocculation state of mud
305. Seismological Evidence of Multiple Crustal Magma Reservoirs Beneath Mt. Wrangell in Southcentral Alaska
Core Problem: Abstract Recent studies have challenged the classical view of magma chambers as ephemeral, melt‐rich bodies confined to shallow depths beneath arc volcanoes at subduction zones
Key Innovation: Instead, increasing evidence supports the existence of long‐lived, vertically extensive magmatic systems with persistent partial melts within the crust
306. Change in Tropical Cyclone Efficiency Under Different ENSO Conditions in the Western North Pacific Ocean
Core Problem: Abstract Tropical cyclones (TCs) can be considered as Carnot heat engines, where thermodynamic efficiency depends on the sea surface temperature (SST) and TC outflow temperature…
Key Innovation: This study investigates how TC efficiency in the western North Pacific (WNP) Ocean varies under different El Niño‐Southern Oscillation (ENSO) conditions: the Eastern Pacific (EP),…
307. Large Eddy Simulation of an Entire Tropical Cyclone From Initial Vortex to Maturity
Core Problem: Abstract We simulated a tropical cyclone in an idealized environment, from its weak initial vortex to maturity, using a regional numerical weather prediction model with…
Key Innovation: Results of the LES were compared with those of the same model, but with a horizontal resolution of 2 km
308. Abnormally Large Magma Flux Does Not Lead to Eruption in Subduction Zone Calderas: The 2022–2023 Episode of Uplift of Aniakchak Crater (Aleutians)
Core Problem: Abstract Observations of ground deformation provide insights on the triggering mechanisms of eruptions
Key Innovation: At Aniakchak Crater (Aleutians) InSAR measured ∼ ${\sim} $72 cm of uplift in less than 7 months between 2022 and 2023
309. Do Tropical Cyclones Have a Steady Translation Under a Uniform Steering Flow?
Core Problem: Abstract Changes in tropical cyclone (TC) movement are commonly attributed to those in the steering flow, beta effect, or topographic influences
Key Innovation: However, a series of idealized simulations suggest that significant track deflections can still occur even under a steady steering flow on an f plane
310. Ocean Eddies Lower the Global‐Mean, Maximum Intensity of Tropical Cyclones in a One‐Year Global, Coupled Simulation
Core Problem: Abstract We quantify the impact of ocean eddies on the global‐mean tropical‐cyclone intensity in a 1‐year simulation run with a coupled atmosphere‐ocean model with quite‐realistic…
Key Innovation: We find a significantly lower global‐mean intensity and intensification rate for the subset of TCs that spend more time over cold‐core eddies than warm‐core eddies
311. Davemaoite Elasticity Reveals Slab‐Induced Heterogeneity in the Mantle Transition Zone
Core Problem: Abstract The observed 2%–7% low‐shear velocity (VS) anomalies near the subducted slab at the bottom mantle transition zone (MTZ) indicate strong lateral heterogeneity, which is…
Key Innovation: However, davemaoite, a major constituent of the subducted oceanic crust, has been poorly constrained in its elasticity, hindering accurate velocity modeling and obscuring the origin…
312. Small and Medium‐Sized Inland Waterbodies: Water Volume Predictions and Flood Implications
Core Problem: Using 86 in situ bathymetry and spatio‐temporal water spread area data, the study addresses this gap by developing a machine learning model that estimates monthly…
Key Innovation: Traditional water volume measurement methods, modeling techniques, and advanced altimetry missions struggle to capture the non‐linear volume changes in these waterbodies, leading to inaccurate and…
313. Predicting Rainfall Infiltration Losses: A Rainfall Simulation Study of Land Cover, Slope and Soil Type
Core Problem: This study addresses this gap by investigating infiltration losses based on physical attributes under controlled rainfall conditions
Key Innovation: Accurate prediction of rainfall losses, defined as rainfall that does not contribute to surface runoff is critical in rainfall‐runoff models
314. Spatial Covariability of Extreme Floods Over the Coterminous United States: Co‐Dependency Measures and Their Statistical Significance
Core Problem: Abstract Understanding the spatial structure of extreme floods is critical both for reliable design flood estimation and for coordinated development of regional response and flood…
Key Innovation: Yet, analysis of rare, high‐magnitude floods is challenged by the limited sample size
315. Unsupervised Characterization of Rain‐Induced Seismic Noise in Urban Fiber‐Optic Networks Using Deep Embedded Clustering
Core Problem: Abstract Distributed acoustic sensing (DAS) with preexisting telecommunication optical fibers (dark fibers) has shown its ability to record rain‐induced seismic noise with unprecedented high spatiotemporal…
Key Innovation: In this study, we introduce a data‐driven method, deep embedded clustering (DEC), to automatically detect and classify rain‐induced noise from massive DAS data, predicting the…
316. InSAR Ground Deformation and Pumping Energy Consumption Reveal Urban Water Security
Core Problem: Abstract Water resource assessments are critical for ensuring water security (WS), particularly in rapidly urbanizing regions with increasing water demand and limited water monitoring capabilities
Key Innovation: Earth observations and indirect indicators of surface and groundwater changes are valuable tools for developing such assessments
317. A Century of Drought Research (1900–2023): Scientific Developments, Methodological Innovations, and Emerging Frontiers
Core Problem: Abstract Drought significantly affects water resources, agriculture, energy, and ecosystems, revealing enduring socio‐economic vulnerabilities over the centuries
Key Innovation: This review synthesizes a century of development and recent advances in drought research (1900–2023), drawing on a bibliometric analysis of over 152,000 peer‐reviewed publications
318. A Novel Hydrological Signature‐Informed Framework for Enhancing Streamflow Prediction Using Multi‐Task Learning
Core Problem: To address this gap, we propose a novel HS‐informed framework that dynamically integrates HS into DL parameterization through a multi‐task learning approach
Key Innovation: To address this gap, we propose a novel HS‐informed framework that dynamically integrates HS into DL parameterization through a multi‐task learning approach
319. Weakened Isotope Altitude Gradient in the Central Asian Water Tower: Role of Topography and Local Circulation
Core Problem: Here we used 1,255 records of surface water isotopes to investigate AE and inverse altitude effect (IAE) and their mechanisms in arid Central Asia
Key Innovation: However, this assumption has recently been challenged, as many in situ observations fail to consistently demonstrate the expected negative correlation between altitude and isotope values
320. Adaptation Triggers and Indicator Interpretability for Dynamic Reoptimization of Reservoir Control Policies Under Climate Change
Core Problem: Abstract Recent studies have shown the potential for reservoir control policies to adapt to uncertain future climate and demand by reoptimizing on a fixed time…
Key Innovation: This study develops a framework to identify dynamic decisions on two levels: an “outer loop” adaptation policy that establishes indicator thresholds for reoptimization based on…
321. More Water, More of the Time: Spatial Changes in Flooding Over 83 Years in the Upper Mississippi River Floodplain and Relationships With Streamgage‐Derived Proxies
Core Problem: Abstract The hydrologic regime of the upper Mississippi River (UMR) has become wetter, with greater discharges, longer‐lasting high‐flow conditions, and seasonal shifts in these patterns…
Key Innovation: How these changes are expressed spatially as floodplain inundation area, frequency, depth, duration, and timing is not well understood
322. The Relative Importance of Floodplain Storage and Flow Path Dispersion on Flood Attenuation in Mountain Streams
Core Problem: Abstract Intensifying flooding throughout the western United States threatens human infrastructure, human life, and ecological integrity
Key Innovation: Flash floods are particularly dangerous because they rise quickly and often unexpectedly
323. A Novel Hybrid Predictive Model Based on Mixture Density Networks With Weighted Conformal Inference Strategy for Runoff Interval Prediction Across Australia
Core Problem: Compared to deterministic prediction models, interval prediction can more effectively quantify uncertainty, enhancing practical applicability
Key Innovation: We therefore innovatively incorporated the Weighted Conformal Inference (WCI) strategy, which accounts for distributional shifts in runoff sequences, and integrated it with MDN to develop…
324. A Cascade‐Like Energy Dissipation Mechanism Behind the Gradual Achievement of River Equilibrium Sinuosity
Core Problem: Abstract The prediction of river planimetric evolution and related interactions with anthropic activities and public safety is one of the most critical aspects in the…
Key Innovation: Drawing inspiration from the phenomenological equivalence between fluid‐dynamic and morpho‐dynamic dispersion within the river floodplain, the present contribution proposes an explicit analytical solution in terms…
325. A Modified Hierarchical Vision Transformer for Soil Moisture Retrieval From CYGNSS Data
Core Problem: We first assess the sensitivity of CYGNSS reflectivity (Γ) $({\Gamma })$ to SM, demonstrating a strong physical linkage through coherent scattering theory
Key Innovation: Abstract This research introduces a new deep learning (DL) framework, multi‐head self‐attention‐aided vision Transformer (MSA‐ViT), for soil moisture (SM) retrieval using Cyclone Global Navigation Satellite…
326. The first Earthquake Early Warning System for the high-speed railway in Italy: enhancing rapidness and operational efficiency during seismic events
Core Problem: High-speed rail requires earthquake early warning that is both rapid and operationally reliable under strict safety constraints.
Key Innovation: Implements and evaluates the first EEW system for Italy’s high-speed railway, improving warning rapidness and operational integration during seismic events.
327. Meteorological Drought Trend Analysis and Forecasting Using a Hybrid SG-CEEMDAN-ARIMA-LSTM Model Based on SPI from Rain Gauge Data
Core Problem: Meteorological drought trend detection and forecasting from gauge-based SPI series are challenged by strong nonstationarity and multi-scale variability.
Key Innovation: Proposes a hybrid SG-CEEMDAN-ARIMA-LSTM workflow to improve drought trend characterization and forecast skill from rain-gauge records.
328. Signals without action: a value chain analysis of Luxembourg's 2021 flood disaster
Core Problem: Early warning signals do not always trigger timely protective actions, and breakdown points in warning-to-response chains are often unclear.
Key Innovation: Applies value-chain analysis to Luxembourg’s 2021 flood to diagnose where signals failed to convert into action and identify actionable system improvements.
329. Hourly Precipitation Patterns and Extremization over Italy using convection-permitting reanalysis data
Core Problem: Sub-daily precipitation patterning and extremization over Italy are not adequately represented by coarse-resolution products.
Key Innovation: Uses convection-permitting reanalysis to resolve hourly precipitation structures and extremes with improved spatial and temporal realism.
330. The quest for reference stations at the National Observatory of Athens, Greece
Core Problem: Robust selection of seismic reference stations is essential but difficult, especially for heterogeneous national monitoring networks.
Key Innovation: Systematically assesses rock stations in the National Observatory of Athens networks to define defensible reference-station criteria for seismic analyses.
331. SUPER v2: A 3-Hourly Global Precipitation Dataset Optimized for Sparse Data Challenges
Core Problem: SUPER v2: A 3-Hourly Global Precipitation Dataset Optimized for Sparse Data Challenges Huiwen Zhang, Jianzhi Dong, Xiaoqi Kang, Lingna Wei, Ying Zhu, Rolf Hut, and…
Key Innovation: Data Discuss., https://doi.org/10.5194/essd-2025-792,2026 Preprint under review for ESSD (discussion: open, 0 comments) We present SUPER v2, a 3-hourly, 0.1° precipitation dataset for global land areas…
332. A global black carbon dataset of column concentration and microphysical information derived from MISR multi-band observations and Mie scattering simulations
Core Problem: Global black-carbon column concentration and microphysical properties remain insufficiently constrained for climate and air-quality studies.
Key Innovation: Constructs a global black-carbon dataset from MISR multi-band observations and Mie-scattering simulations, providing harmonized concentration and microphysical descriptors.
333. A satellite-based ice fraction record for small water bodies of the Arctic Coastal Plain (2017 to 2023)
Core Problem: Freeze-ice dynamics of small Arctic water bodies are highly climate-sensitive but remain under-observed at regional scale.
Key Innovation: Provides a 2017–2023 satellite-derived ice-fraction record for small water bodies on the Arctic Coastal Plain to support cryosphere-hydrology analysis.
334. Wetland Use Intensity (WUI) Dataset for European Wetlands in coastal zones
Core Problem: Wetland Use Intensity (WUI) Dataset for European Wetlands in coastal zones Jonas Franke, Kevin Kuonath, Maria Schade, Stefan Kirmaier, Janik Hoffmann, Isabel Augscheller, and Maximilian…
Key Innovation: We present a new dataset showing how intensively wetlands were used in 2023, across European coastal zones
335. IPSL-Perm-LandN: improving the IPSL Earth System Model to represent permafrost carbon-nitrogen interactions
Core Problem: IPSL-Perm-LandN: improving the IPSL Earth System Model to represent permafrost carbon-nitrogen interactions Rémi Gaillard, Patricia Cadule, Philippe Peylin, Nicolas Vuichard, and Bertrand Guenet Geosci
Key Innovation: The model more accurately represents past and present permafrost physics and biogeochemistry, paving the way for future projections
336. Threshold atmospheric electric fields for initiating relativistic runaway electron avalanches: theoretical estimates and CORSIKA simulations
Core Problem: Threshold atmospheric electric fields for initiating relativistic runaway electron avalanches: theoretical estimates and CORSIKA simulations Ashot Chilingarian, Liza Hovhannisyan, and Mary Zazyan Geosci
Key Innovation: Model Dev., 19, 621–626, https://doi.org/10.5194/gmd-19-621-2026, 2026 Thunderstorms can accelerate particles in the atmosphere, producing bursts of radiation at the ground
337. Evaluation of atmospheric sulfur dioxide simulated with the EMAC (version 2.55) Chemistry–Climate Model using satellite and ground-based observations
Core Problem: Evaluation of atmospheric sulfur dioxide simulated with the EMAC (version 2.55) Chemistry–Climate Model using satellite and ground-based observations Ismail Makroum, Patrick Jöckel, Martin Dameris, Nicolas…
Key Innovation: Model Dev., 19, 447–476, https://doi.org/10.5194/gmd-19-447-2026, 2026 We use a state-of-the-art numerical chemistry-climate model to study the atmospheric sulfur dioxide budget
338. Evaluation of coupled and uncoupled ocean–ice–atmosphere simulations using icon-2024.07 and NEMOv4.2.0 for the EURO-CORDEX domain
Core Problem: Evaluation of coupled and uncoupled ocean–ice–atmosphere simulations using icon-2024.07 and NEMOv4.2.0 for the EURO-CORDEX domain Vera Maurer, Wibke Düsterhöft-Wriggers, Rebekka Beddig, Janna Meyer, Claudia Hinrichs,…
Key Innovation: We present a regional coupled ocean-atmosphere model setup for Europe, tailored to provide consistent climate change information for the North and Baltic Seas
339. Retrieving atmospheric thermodynamic and hydrometeor profiles using a thermodynamic-constrained Kalman filter 1D-Var framework based on ground-based microwave radiometer
Core Problem: Retrieving atmospheric thermodynamic and hydrometeor profiles using a thermodynamic-constrained Kalman filter 1D-Var framework based on ground-based microwave radiometer Qi Zhang, Tianmeng Chen, Jianping Guo, Yu…
Key Innovation: Model Dev., 19, 505–522, https://doi.org/10.5194/gmd-19-505-2026, 2026 We propose TCKF1D-Var, a thermodynamic-constrained variational framework for ground-based microwave radiometer retrievals
340. Insights into uncertainties in future drought analysis using hydrological simulation model
Core Problem: Future drought projections from hydrological simulation are highly sensitive to calibration choices and associated parameter uncertainty.
Key Innovation: Quantifies how calibration-period and setup decisions propagate into future drought estimates, clarifying a key uncertainty source in scenario analysis.
341. Microbial mats promote surface water retention in proglacial streams
Core Problem: Controls on early hydrologic functioning in newly exposed proglacial systems remain poorly constrained.
Key Innovation: Shows that microbial mats increase surface-water retention in proglacial streams, linking biological colonization to emergent hydrologic regulation.
342. Global water security is threatened by rising inequality
Core Problem: Nature Geoscience, Published online: 22 January 2026; doi:10.1038/s41561-025-01909-8 Projections using a machine-learning model, trained on historical socioeconomic and water-resources data, reveal the impact of inequality…
Key Innovation: Pathways of societal development driven by technological efficiency could result in even greater inequality and water insecurity
343. Global water security threatened by rising inequality
Core Problem: Nature Geoscience, Published online: 20 January 2026; doi:10.1038/s41561-025-01905-y By 2100, 62% of the global population could face severe water scarcity, with inequality amplifying risk
Key Innovation: Equitable management offers a path to water security, according to a machine learning forecasting model applied to future development scenarios
344. Climate mode interactions amplify coastal flood risks and their seasonal predictability
Core Problem: Nature Geoscience, Published online: 20 January 2026; doi:10.1038/s41561-025-01903-0 Co-occurring phases of the El Niño/Southern Oscillation and North Atlantic Oscillation can interact nonlinearly, amplify coastal water…
Key Innovation: Nature Geoscience, Published online: 20 January 2026; doi:10.1038/s41561-025-01903-0 Co-occurring phases of the El Niño/Southern Oscillation and North Atlantic Oscillation can interact nonlinearly, amplify coastal water…
345. Amazon forest nutrient limitation is mitigated by distant fire emissions
Core Problem: Nature Geoscience, Published online: 13 January 2026; doi:10.1038/s41561-025-01899-7 The transport of aerosols from distant fires in deforested and savannah regions supplies phosphorus to undisturbed Amazon…
Key Innovation: Nature Geoscience, Published online: 13 January 2026; doi:10.1038/s41561-025-01899-7 The transport of aerosols from distant fires in deforested and savannah regions supplies phosphorus to undisturbed Amazon…
346. Myelin is repaired by constitutive differentiation of oligodendrocyte progenitors
Core Problem: Abstract Oligodendrocytes form myelin sheaths around axons to enable rapid signaling within neural circuits
Key Innovation: The generation of new oligodendrocytes through differentiation of oligodendrocyte precursor cells (OPCs) promotes myelin plasticity and repair in the adult brain
347. 143–million-year seawater osmium isotopic record: Trends, rhythms, and dynamics of volcanism and tectonics
Core Problem: Abstract Tectonic events and volcanic pulses forming large igneous provinces (LIPs) have altered Earth’s paleoclimate
Key Innovation: In this study, we present a long-term Os isotopic record from the Cretaceous to the present, revealing ~10– to 20–million-year cycles during the Cretaceous that…
348. Adaptable thermoresponsive polymer for long-term electrical coupling in plant electrophysiology monitoring
Core Problem: Abstract Electrophysiological signals provide valuable insights into plant health, facilitating measures to enhance crop productivity
Key Innovation: Despite advances in measurement methods, long-term (>1 day) acquisition techniques remain limited, hindering continuous monitoring
349. Hydrological drought attribution analysis of six rivers in China by the coupled model of machine learning and hydrological model
Core Problem: Using monthly runoff data from six major Chinese rivers, a coupled machine learning-hydrological model was applied to simulate runoff changes, and the standardized runoff index…
Key Innovation: Using monthly runoff data from six major Chinese rivers, a coupled machine learning-hydrological model was applied to simulate runoff changes, and the standardized runoff index…
350. Exploring climate–ecological driving mechanisms of vegetation change in central asia: a hierarchical assessment framework based on trend tests, multiple regression, and structural equation modeling
Core Problem: To address this, we developed an integrated analytical framework (TMMS) combining trend tests, multiple regression, and structural equation modeling to systematically assess Leaf Area Index…
Key Innovation: To address this, we developed an integrated analytical framework (TMMS) combining trend tests, multiple regression, and structural equation modeling to systematically assess Leaf Area Index…
351. Geospatial assessment of soil salinity–nutrient stratification and soil health responses to groundwater table dynamics in the Bohai Rim region, China
Core Problem: Soil salinization, a major form of land degradation, severely threatens ecosystem sustainability and agricultural productivity across the globe
Key Innovation: A groundwater–soil–ecosystem coupling framework was established by integrating groundwater depth monitoring, soil physicochemical profiling, and multisource remote sensing indicators, which was supported by multivariate statistics…
352. Research on GAN based sample expansion method for dam earthquake damage assessment
Core Problem: Rapid and accurate assessment of dam damage after an earthquake is crucial for post-disaster emergency response and rapid reconstruction
Key Innovation: Aiming at the lack of stability and accuracy of the assessment model due to the scarcity of dam-damage samples, this study proposes a Generative Adversarial…
353. Nonuniform variations of drought driven by spatially heterogeneous climate changes
Core Problem: Under global warming, the understanding of regional drought heterogeneity, drivers, and future persistence remains limited
Key Innovation: Utilizing the Temperature Vegetation Dryness Index (TVDI, 2001–2020) and combining Theil–Sen trend analysis, Mann–Kendall test, partial correlation analysis, and Hurst exponent, this study analyzes global…
354. A multihazard assessment framework integrating single and coupled scenario analysis for droughts, floods, and landslides
Core Problem: This study introduces a comprehensive multihazard assessment framework that systematically integrates single-hazard and coupled-hazard scenarios to identify coupling mechanisms and quantify their effects on composite…
Key Innovation: This study introduces a comprehensive multihazard assessment framework that systematically integrates single-hazard and coupled-hazard scenarios to identify coupling mechanisms and quantify their effects on composite…
355. Scenario-driven data fusion for compound coastal flood risk and exposure assessment using night-time lights in Jeddah
Core Problem: Coastal cities are increasingly vulnerable to compound flooding caused by the combined effects of sea level rise, storm surge, tides, rainfall, and atmospheric pressure
Key Innovation: However, integrated and scenario-based assessments remain limited, particularly in rapidly urbanizing and data-scarce regions
356. Assessment of drought vulnerability zones by integrating TRFNAHP and GIS approaches
Core Problem: Drought is a critical global challenge that severely impacts farmers and communities, and its effects are exacerbated by climate change
Key Innovation: The aim of the study area is to determine Drought Vulnerability Zones (DVZ) by integrating Trapezoidal Fuzzy Numbers Analytical Hierarchy Process (TRFNAHP) method and Geographic…
357. Spatial and temporal changes of social flood vulnerability in municipalities of Slovakia
Core Problem: This study aimed to assess the spatial and temporal changes in social flood vulnerability between 2001, 2011, and 2021
Key Innovation: This study aimed to assess the spatial and temporal changes in social flood vulnerability between 2001, 2011, and 2021
358. Regional differences in the impact of climate extremes on future global rice yield variability
Core Problem: While much research has focused on the negative impacts of climate extremes on rice yields, understanding how different types of extremes affect future yield variability…
Key Innovation: In this study, we first used extreme gradient boosting to predict global gridded rice yields under three Shared Socioeconomic Pathways (SSPs) (SSP126, SSP245, and SSP370)…
359. Seismic hazard analysis of the southeastern Pamir Frontal Thrust: implications for regional seismic risk patterns
Core Problem: Analyzing seismic hazard risk is crucial for comprehensive risk mitigation and seismic emergency planning
Key Innovation: A scientific evaluation of seismic hazard risk is also crucial for strengthening pre-disaster preparedness and reducing disaster losses
360. Characteristics of extreme precipitation and precipitation estimation under different return periods in the Pamir Plateau
Core Problem: IntroductionAs the “Water Tower of Central Asia,” the Pamir Plateau is critical for regional water security
Key Innovation: Research on its extreme precipitation is therefore vital for water resource assessment, hydrological modeling, and disaster risk planning.MethodsUsing daily observational data and the Peak Over…
361. Reservoir heterogeneity between intra-platform and platform-margin settings in an isolated carbonate platform: a case study from the carboniferous, Pre-Caspian Basin
Core Problem: IntroductionThe Carboniferous isolated platform carbonate reservoirs in the Pre-Caspian Q6 Basin exhibit pronounced heterogeneity, which significantly constrains the effective prioritization and optimization of exploration targets
Key Innovation: In contrast, platform-margin reservoirs develop heterogeneous fracture-vug systems, resulting in poor porosity-permeability correlations, while conventional core analysis systematically underestimates their actual flow capacity
362. Remote Sensing, Vol. 18, Pages 393: Simultaneous Hyperspectral and Radar Satellite Measurements of Soil Moisture for Hydrogeological Risk Monitoring
Core Problem: Hydrogeological risk monitoring requires robust soil-moisture retrievals, which are difficult to obtain reliably from single-sensor satellite observations.
Key Innovation: Combines simultaneous hyperspectral and radar satellite measurements to estimate volumetric water content over a hazard-prone test site, improving retrieval robustness.
363. Remote Sensing, Vol. 18, Pages 390: Remote Sensing of Woody Plant Encroachment: A Global Systematic Review of Drivers, Ecological Impacts, Methods, and Emerging Innovations
Core Problem: This review synthesizes findings from 159 peer-reviewed studies identified through a PRISMA-guided systematic literature review to evaluate the drivers of WPE, its ecological impacts, and…
Key Innovation: 18, Pages 390: Remote Sensing of Woody Plant Encroachment: A Global Systematic Review of Drivers, Ecological Impacts, Methods, and Emerging Innovations Remote Sensing doi: 10.3390/rs18030390…
364. Remote Sensing, Vol. 18, Pages 385: Moho Fold Structure Beneath the East China Sea and Its Tectonic Implications
Core Problem: Reliable recovery of Moho geometry beneath the East China Sea is hindered by strong crustal contamination in gravity-derived signals.
Key Innovation: Integrates wavelet multi-scale analysis, power-spectrum crustal correction, and improved Bott inversion to resolve Moho fold structure and related tectonic implications.
365. Remote Sensing, Vol. 18, Pages 384: SWOT Observations of Bimodal Seasonal Submesoscale Processes in the Kuroshio Large Meander
Core Problem: Remote Sensing, Vol
Key Innovation: 18, Pages 384: SWOT Observations of Bimodal Seasonal Submesoscale Processes in the Kuroshio Large Meander Remote Sensing doi: 10.3390/rs18030384 Authors: Xiaoyu Zhao Yanjiang Lin Wide-swath…
366. Remote Sensing, Vol. 18, Pages 380: Multi-Source Remote Sensing Data-Driven Susceptibility Mapping of Retrogressive Thaw Slumps in the Yangtze River Source Region
Core Problem: This study aims to bridge this knowledge gap by establishing a robust susceptibility assessment framework to accurately model the spatial distribution and risk levels of…
Key Innovation: This study aims to bridge this knowledge gap by establishing a robust susceptibility assessment framework to accurately model the spatial distribution and risk levels of…
367. Remote Sensing, Vol. 18, Pages 374: Lake Evolution and Emerging Hazards on the Tibetan Plateau from 2014 to 2023
Core Problem: Remote Sensing, Vol
Key Innovation: By integrating geomorphic analysis with hazard mechanisms, we screened and categorized lakes prone to outburst floods and inundation using a classification and assessment framework proposed…
368. Remote Sensing, Vol. 18, Pages 370: Characterizing L-Band Backscatter in Inundated and Non-Inundated Rice Paddies for Water Management Monitoring
Core Problem: Remote Sensing, Vol
Key Innovation: 18, Pages 370: Characterizing L-Band Backscatter in Inundated and Non-Inundated Rice Paddies for Water Management Monitoring Remote Sensing doi: 10.3390/rs18020370 Authors: Go Segami Kei Oyoshi…
369. Remote Sensing, Vol. 18, Pages 368: A Deep Learning-Based Pipeline for Detecting Rip Currents from Satellite Imagery
Core Problem: The main challenge lies in identifying rips as small objects within large and visually complex scenes that include both beach and non-beach areas
Key Innovation: 18, Pages 368: A Deep Learning-Based Pipeline for Detecting Rip Currents from Satellite Imagery Remote Sensing doi: 10.3390/rs18020368 Authors: Yuli Liu Yifei Yang Xiang Li…
370. Remote Sensing, Vol. 18, Pages 362: High-Precision River Network Mapping Using River Probability Learning and Adaptive Stream Burning
Core Problem: River-network extraction methods often struggle to preserve channel connectivity and geometric precision across complex landscapes.
Key Innovation: Proposes a high-precision workflow that combines river-probability learning (RGBT) with adaptive stream burning to improve network delineation quality.
371. Remote Sensing, Vol. 18, Pages 353: A New Joint Retrieval of Soil Moisture and Vegetation Optical Depth from Spaceborne GNSS-R Observations
Core Problem: Remote Sensing, Vol
Key Innovation: This study presents a deep learning framework based on an artificial neural network (ANN) for the simultaneous retrieval of SM and VOD from CYGNSS observations…
372. Remote Sensing, Vol. 18, Pages 346: High-Resolution Forest Structure Mapping with Deep Learning to Evaluate Restoration Outcomes
Core Problem: 18, Pages 346: High-Resolution Forest Structure Mapping with Deep Learning to Evaluate Restoration Outcomes Remote Sensing doi: 10.3390/rs18020346 Authors: J
Key Innovation: 18, Pages 346: High-Resolution Forest Structure Mapping with Deep Learning to Evaluate Restoration Outcomes Remote Sensing doi: 10.3390/rs18020346 Authors: J
373. Remote Sensing, Vol. 18, Pages 345: Provincial-Scale Monitoring of Mangrove Area and Spartina alterniflora Invasion in Subtropical China Using UAV Imagery and Machine Learning Methods
Core Problem: Remote Sensing, Vol
Key Innovation: 18, Pages 345: Provincial-Scale Monitoring of Mangrove Area and Spartina alterniflora Invasion in Subtropical China Using UAV Imagery and Machine Learning Methods Remote Sensing doi:…
374. Remote Sensing, Vol. 18, Pages 331: Evolution of Urban Spatial Morphology and Its Driving Mechanisms in Fujian Province Based on Multi-Source Nighttime Light Remote Sensing
Core Problem: Remote Sensing, Vol
Key Innovation: This method achieved an overall accuracy &gt;0.95 and a Kappa coefficient of 0.80 when the results were compared against land use samples
375. Remote Sensing, Vol. 18, Pages 325: Integrating AI for In-Depth Segmentation of Coastal Environments in Remote Sensing Imagery
Core Problem: Fine-grained segmentation of heterogeneous coastal environments remains difficult in remote-sensing imagery due to high spectral and morphological complexity.
Key Innovation: Introduces an AI-driven in-depth coastal segmentation approach to improve class separability and mapping fidelity in complex coastal scenes.
376. Remote Sensing, Vol. 18, Pages 322: Investigation of the Vertical Microphysical Characteristics of Rainfall in Guangzhou Based on Phased-Array Radar
Core Problem: Remote Sensing, Vol
Key Innovation: 18, Pages 322: Investigation of the Vertical Microphysical Characteristics of Rainfall in Guangzhou Based on Phased-Array Radar Remote Sensing doi: 10.3390/rs18020322 Authors: Jingxuan Zhu Jun…
377. Remote Sensing, Vol. 18, Pages 318: Quantifying VIIRS and ABI Contributions to Hourly Dead Fuel Moisture Content Estimation Using Machine Learning
Core Problem: Remote Sensing, Vol
Key Innovation: 18, Pages 318: Quantifying VIIRS and ABI Contributions to Hourly Dead Fuel Moisture Content Estimation Using Machine Learning Remote Sensing doi: 10.3390/rs18020318 Authors: John S
378. Remote Sensing, Vol. 18, Pages 314: VIIRS Nightfire Super-Resolution Method for Multiyear Cataloging of Natural Gas Flaring Sites: 2012-2025
Core Problem: Remote Sensing, Vol
Key Innovation: Elvidge Tilottama Ghosh Gregory Gleason Morgan Bazilian We present a new method for mapping global gas flaring using a multiyear spatio-temporal database of VIIRS Nightfire…
379. Remote Sensing, Vol. 18, Pages 312: SIGMaL: An Integrated Framework for Water Quality Monitoring in a Coastal Shallow Lake
Core Problem: Remote Sensing, Vol
Key Innovation: 18, Pages 312: SIGMaL: An Integrated Framework for Water Quality Monitoring in a Coastal Shallow Lake Remote Sensing doi: 10.3390/rs18020312 Authors: Anja Batina Ante Šiljeg…
380. Remote Sensing, Vol. 18, Pages 302: An Operational Ground-Based Vicarious Radiometric Calibration Method for Thermal Infrared Sensors: A Case Study of GF-5A WTI
Core Problem: To address this need, we develop an operational and automated ground-based vicarious radiometric calibration framework for TIR sensors and demonstrate its performance using the Wide-swath…
Key Innovation: To address this need, we develop an operational and automated ground-based vicarious radiometric calibration framework for TIR sensors and demonstrate its performance using the Wide-swath…