TerraMosaic Daily Digest: Jan 10, 2026
Daily Summary
Today's landslide research landscape is dominated by efforts to improve prediction, assessment, and mitigation strategies across diverse geological and environmental settings. A significant focus lies on leveraging advanced technologies like remote sensing (InSAR, Sentinel-1, TLS-UAV), machine learning, and AI to enhance our understanding of landslide mechanisms, vulnerability assessment, and early warning systems. Several papers address the impact of climate change, specifically permafrost thaw and extreme weather events, on slope stability and infrastructure. There's also a strong emphasis on multi-hazard scenarios, considering the cascading effects of events like earthquakes, floods, and volcanic eruptions. Furthermore, research explores the effectiveness of various stabilization techniques, including biochar, vegetation, and novel anchor-pile systems. Finally, several papers focus on the specific challenges posed by landslides in urban environments, particularly affecting vulnerable populations, and the need for improved emergency response strategies. The integration of numerical modeling, experimental studies, and field observations remains crucial for advancing our knowledge and developing effective mitigation measures.
Key Trends
- Remote Sensing & AI Integration: A surge in studies utilizing InSAR, Sentinel-1, and other remote sensing data, often coupled with machine learning and deep learning algorithms, for landslide detection, deformation monitoring, and vulnerability assessment.
- Climate Change Impacts: Increased attention to the effects of permafrost thaw, rainfall variability, and glacier melt on slope stability and infrastructure integrity.
- Multi-Hazard Analysis: Growing recognition of the importance of considering cascading effects and interactions between different hazards (earthquakes, floods, volcanic eruptions, landslides) in risk assessment.
- Focus on Urban Vulnerability: Several studies highlight the disproportionate impact of landslides on urban poor and the challenges in emergency response within complex urban environments.
Selected Papers
This digest features 77 selected papers from 2,048 papers analyzed across multiple journals. Each paper has been evaluated for its relevance to landslide research and includes links to the original publications.
1. Assessing rainfall-induced landslide failure mechanisms in regional hydrological and hillslope stability simulations
Core Problem: Understanding and predicting rainfall-induced landslides and their failure mechanisms at a regional scale.
Key Innovation: A novel mechanistic regional model (CRISIS) integrating a pseudo-three-dimensional slope stability approach with a hydrologic model to classify landslides into saturation-induced and wetting-induced failures.
2. Urban poor are the most endangered by socio-natural hazards, but not exclusively: the 2025 Granizal Landslide case
Core Problem: Analyzing the socio-economic factors contributing to landslide disasters, particularly affecting vulnerable urban populations.
Key Innovation: Empirical analysis linking socio-spatial segregation to increased landslide risk and highlighting challenges in emergency response across administrative boundaries.
3. Roof stability in flat-ceiling cavities in unsaturated soils under steady infiltrations
Core Problem: Analyzing the stability of tunnel roofs in unsaturated soils subjected to steady infiltration.
Key Innovation: Using upper bound limit analysis and a modified Mohr-Coulomb strength criterion to derive stability measures and collapse profiles for rectangular tunnel roofs.
4. Displacement prediction model for seasonally frozen slopes integrating dual signal decomposition and an interpretable deep network
Core Problem: Accurate and interpretable displacement prediction of tunnel portal slopes in seasonally frozen regions.
Key Innovation: A hybrid prediction model integrating dual signal decomposition (CEEMDAN and VMD) with an interpretable deep neural network (CNN-LSTM-Attention) tuned by the Dung Beetle Optimizer, enhanced by SHAP analysis for model transparency.
5. Multi-scale risk assessment method for pipeline slope hazards
Core Problem: Quantitative assessment of geological hazards affecting oil and gas pipelines, focusing on systemic risk.
Key Innovation: A multiscale, coupled risk assessment framework based on a hierarchical approach, integrating regional risk mapping, UAV-based inspection, and slope-pipeline coupled finite element modeling.
6. Investigation of Silty Mudstone Properties and Inverted Arch Uplift Mechanism: A Case Study of Xicheng Railway Tunnel
Core Problem: Uplift and cracking of tunnel bottom structure in silty mudstone stratum due to groundwater action, impacting tunnel safety and long-term operation.
Key Innovation: Systematic analysis of silty mudstone inverted arch uplift characteristics and mechanisms, considering geological factors, rock laboratory tests, and groundwater effects.
7. Combined Effect of Strain Rate and Corrosion on Bond Failure Mechanism of Rockbolt Grouted Structures
Core Problem: Engineering failure of rockbolt grouted structures due to the combined effects of corrosion and dynamic disturbances in deep underground projects.
Key Innovation: Investigation of degradation mechanisms of grouted structures under accelerated corrosion and dynamic pull-out tests, establishing a bond-slip model considering strain rate and corrosion.
8. Stress-State Dependency of Damage Evolution During Coal Creep and Its Impact on Permeability: A Coupled Constitutive Modeling Approach
Core Problem: Accurately predicting the long-term evolution of coal permeability is crucial for the safety of coalbed methane extraction.
Key Innovation: Development and validation of a coupled damage–creep–seepage model, establishing a rigorous link between microscopic damage, macroscopic creep, and permeability evolution.
9. Research on High Prestress Rock Bolt Support Mechanism for Jointed Surrounding Rock in Tunnels Through Structural Plane Stress Compensation Analysis
Core Problem: Revealing the stress compensation effect of prestressed rock bolts in surrounding rock with structural planes to improve tunnel support design.
Key Innovation: Model tests under non-support and high prestress support conditions, analyzing deformation, failure laws, and relative movement states of surrounding rock blocks.
10. Shear Mechanical Behaviors and Cracking Evolution Mechanism of Foliated Rock Under Tunnel Excavation Disturbance Conditions
Core Problem: Understanding the shear mechanical behaviors and failure mechanisms of foliated rock surfaces due to tunnel excavation unloading and dynamic disturbances.
Key Innovation: A true triaxial shear test method integrating static and dynamic conditions, investigating shear strength, deformation, failure surface morphology, shear strain rate, and damage progression of thin-foliated slates.
11. Mechanism of Chain Rockbursts in Deep Excavations Triggered by Dynamic Disturbance: Insights from Stress Path Controlled Failure
Core Problem: Understanding the progressive failure of granite under dynamic disturbance to explain dynamically induced rockbursts in deep excavations.
Key Innovation: True triaxial cyclic loading and unloading tests on extremely hard granite with dynamic disturbances, combined with acoustic emission monitoring to examine fracture and damage evolution under different stress paths.
12. Three-Dimensional Modeling of Surrounding Rock in Tunnels and Identification of Potentially Unstable Blocks
Core Problem: Accurate identification of hazardous blocks in tunnel construction to ensure safety and mitigate collapse-related disasters.
Key Innovation: A novel methodology for constructing three-dimensional (3D) tunnel geological models and identifying hazardous blocks using parametric calculation, voxel representation, and an octree-guided block localization method.
13. Mechanical Degradation and Failure of Fractured Rock Masses Under Dry–Wet-Freeze–Thaw Cycles
Core Problem: Significant mechanical degradation of slope rock masses in high-altitude open-pit mines due to Dry–Wet-Freeze–Thaw (DWFT) cycles.
Key Innovation: Investigation of mechanical properties and failure processes of fractured rocks using PFC3D discrete element numerical simulations, analyzing the effects of DWFT cycles and confining pressures on rock samples with different fracture geometries.
14. Probabilistic Stability Assessment of Ash Dykes Using Surrogate Models and Multi-Slip Surface Analysis
Core Problem: Evaluating the potential for breach in an ash dyke embankment, which could result in significant environmental contamination.
Key Innovation: An automated framework that integrates GeoStudio with Python, Excel, XML, and HTML files, incorporating multiple slip surfaces and broader variability for efficient and reliable risk assessments.
15. Influence of Bedding Angle on Failure Mechanisms and Energy Evolution of Slate under Cyclic Loading
Core Problem: Understanding the mechanical behavior of layered rocks, which plays a critical role in determining the stability and safety of rock masses in underground engineering.
Key Innovation: Investigation of the mechanical responses and acoustic emission (AE) characteristics of slate with varying bedding angles under uniaxial and cyclic loading, revealing the influence of bedding angle on failure mechanisms and energy evolution.
16. Vertical Land Movements Assessment Integrating Interferometric Synthetic Aperture Radar, In-Situ Data, and Engineering-Geological Model: The Case Study of the Reclaimed Farmland of the Po River Delta (Italy)
Core Problem: Assessing vertical land movements in reclaimed farmland to understand subsidence and its impact on infrastructure and agriculture.
Key Innovation: Integration of Interferometric Synthetic Aperture Radar (InSAR), in-situ data, and an engineering-geological model to provide a comprehensive assessment of vertical land movements.
17. Corrigendum to "Spatial-temporal patterns of sinkhole development in the Konya Basin, Türkiye. Implications for susceptibility and time-variant hazard assessment"
Core Problem: Correcting errors in a previous study on sinkhole development to improve the accuracy of susceptibility and hazard assessments.
Key Innovation: Addressing inaccuracies in a previous study to ensure reliable sinkhole hazard assessment.
18. Representing multi-hazard events in urban systems: An ontology-based model
Core Problem: Lack of a comprehensive framework to represent and analyze multi-hazard events in urban systems.
Key Innovation: An ontology-based model for representing multi-hazard events and their cascading effects in urban environments.
19. Advancing Earth Observation-based methods for rapid mapping and estimation of flood and drought impacts on rice production in the Philippines
Core Problem: Timely and accurate assessment of flood and drought impacts on rice production is crucial for effective disaster management and food security.
Key Innovation: Using Earth Observation data for rapid mapping and estimation of flood and drought impacts on rice production.
20. Development of an empirical flood fragility curve for levee failure and its application in probabilistic flood risk assessment: A case study of Citeureup Village, Indonesia
Core Problem: Levee failures significantly contribute to flood risk, and accurate assessment of levee fragility is essential for effective flood risk management.
Key Innovation: Development of an empirical flood fragility curve for levee failure based on historical data and its application in probabilistic flood risk assessment.
21. Earth observation informed modelling of flash floods
Core Problem: Flash floods are rapid-onset events that pose significant threats to life and property, requiring accurate and timely modeling for effective early warning and mitigation.
Key Innovation: Integrating Earth observation data into flash flood modeling to improve prediction accuracy and early warning capabilities.
22. A nation-wide classification of the Italian Railway Network susceptibility to flood hazard
Core Problem: Flooding can disrupt railway operations, causing significant economic losses and transportation challenges.
Key Innovation: A nation-wide classification of the Italian Railway Network's susceptibility to flood hazard, providing a basis for targeted risk management and adaptation strategies.
23. Multi-hazard considerations for seismic fragility assessment of different era-designed highway bridges under earthquake-induced flow-type landslides
Core Problem: Seismic fragility assessment of highway bridges considering earthquake-induced landslides.
Key Innovation: Considers the combined effects of earthquakes and flow-type landslides on bridge seismic fragility.
24. Unveiling the long-term cascading effects of the 2018 Baige landslide and subsequent outburst flood with satellite radar observations
Core Problem: Understanding the long-term impact of the Baige landslide and outburst flood.
Key Innovation: Using satellite radar observations to analyze cascading effects.
25. Mapping wide-area land subsidence from groundwater use in the North China plain by machine learning-based InSAR adjustment
Core Problem: Mapping land subsidence due to groundwater extraction.
Key Innovation: Combining InSAR data with machine learning for subsidence mapping.
26. An extended vector inclination method for inferring detailed slip surfaces beneath landslides from SAR and optical satellite remote sensing image
Core Problem: Inferring detailed slip surfaces beneath landslides.
Key Innovation: Developing an extended vector inclination method using SAR and optical imagery.
27. Sentinel-1 imagery for wide-scale quantitative landslide vulnerability assessment of buildings
Core Problem: Assessing landslide vulnerability of buildings on a wide scale.
Key Innovation: Using Sentinel-1 imagery for quantitative vulnerability assessment.
28. Groundwater volume loss and land subsidence in the North China plain investigated using wide-area InSAR surveying and mechanical modeling
Core Problem: Monitoring land subsidence due to groundwater loss.
Key Innovation: InSAR surveying and mechanical modeling to quantify groundwater volume loss and land subsidence.
29. Multi-source assessment of permafrost deformation along the Bei'an–Hei'he highway in Northeast China
Core Problem: Assessing permafrost deformation impacts on infrastructure.
Key Innovation: Using multi-source remote sensing data to monitor permafrost thaw and its effect on highway stability.
30. Complex convolutional sparse coding InSAR phase filtering Incorporating directional gradients and second-order difference regularization
Core Problem: Improving InSAR data quality for deformation monitoring.
Key Innovation: A novel InSAR phase filtering technique using complex convolutional sparse coding.
31. A Spatially Masked Adaptive Gated Network for multimodal post-flood water extent mapping using SAR and incomplete multispectral data
Core Problem: Mapping flood extent using SAR and multispectral data.
Key Innovation: Spatially Masked Adaptive Gated Network for flood mapping.
32. High-precision flood change detection with lightweight SAR transformer network and context-aware attention for enriched-diverse and complex flooding scenarios
Core Problem: Detecting flood changes using SAR data.
Key Innovation: Lightweight SAR transformer network with context-aware attention for flood detection.
33. Assessment of ground deformation in Mandalay, Myanmar, using InSAR with Sentinel-1 data after the March 2025 earthquake
Core Problem: Assessing ground deformation following an earthquake.
Key Innovation: Using InSAR with Sentinel-1 data to map ground deformation in an urban area.
34. Investigating seasonal velocity variations of selected glaciers in high mountain asia
Core Problem: Monitoring glacier velocity variations.
Key Innovation: Using remote sensing to study glacier dynamics in High Mountain Asia.
35. Towards 90 m resolution digital terrain model combining ICESat-2 and GEDI data: Balancing accuracy and sampling intensity
Core Problem: Creating high-resolution digital terrain models.
Key Innovation: Combining ICESat-2 and GEDI data for improved DTM resolution.
36. Terrain complexity index: a novel metric for estimating multiscale three-dimensional terrain structure of montane areas based on digital elevation model
Core Problem: Estimating terrain structure in montane areas is challenging due to complex topography.
Key Innovation: A novel terrain complexity index is proposed for estimating multiscale 3D terrain structure using digital elevation models.
37. Deciphering sediment connectivity drivers in the loess watershed of northwestern Hebei Province using machine learning and structural equation modeling
Core Problem: Understanding sediment connectivity in loess watersheds is crucial for soil erosion management.
Key Innovation: Using machine learning and structural equation modeling to identify key drivers of sediment connectivity.
38. Natural susceptibility and human intervention in gullies sidewalls in tropical environments of southeastern Brazil
Core Problem: Gully erosion in tropical environments poses significant land degradation challenges.
Key Innovation: Analysis of natural susceptibility and human intervention impacts on gully sidewall stability.
39. Synergistic effects of drip irrigation and vegetation on the stability of biochar-stabilized expansive soil slopes
Core Problem: Expansive soil slopes are prone to instability, requiring effective stabilization methods.
Key Innovation: Investigating the synergistic effects of drip irrigation, vegetation, and biochar for slope stabilization.
40. Automated gully erosion extraction in the typical black soil region of Northeast China using a deep learning approach based on multi-source remote sensing data
Core Problem: Gully erosion in black soil regions leads to significant land degradation.
Key Innovation: Deep learning approach for automated gully erosion extraction using multi-source remote sensing data.
41. Rill and interrill erosion on slopes in granite red soil quantified by using Sm and Eu as tracers: An indoor rainfall simulation study
Core Problem: Soil erosion on slopes with granite red soil is a major environmental concern.
Key Innovation: Using Sm and Eu as tracers to quantify rill and interrill erosion under simulated rainfall.
42. Electrical resistivity tomography involvement to investigate collapse dolines in Mogress area, Doukkala plain (Western Morocco)
Core Problem: Collapse dolines pose risks to infrastructure and land use in the Doukkala plain.
Key Innovation: Using electrical resistivity tomography to investigate the subsurface structure of collapse dolines.
43. Integrated land preparation and afforestation enhance soil erosion resistance in the hilly and gully region of the Loess Plateau, China
Core Problem: Soil erosion is severe in the hilly and gully regions of the Loess Plateau.
Key Innovation: Evaluating the effectiveness of integrated land preparation and afforestation for enhancing soil erosion resistance.
44. Integrating electrical resistivity tomography into predictive thermal modeling of permafrost beneath railway infrastructure: Case study of the Hudson Bay Railway
Core Problem: Permafrost thaw threatens railway infrastructure stability.
Key Innovation: Using electrical resistivity tomography (ERT) data to improve thermal modeling of permafrost under railways.
45. Thawing permafrost under Qinghai-Xizang Highway and its impacts on road performance based on multi-source observed data
Core Problem: Thawing permafrost degrades road performance.
Key Innovation: Analyzing multi-source data to assess the impact of thawing permafrost on the Qinghai-Xizang Highway.
46. Observations and modeling of slushflows from Atigun Pass, Alaska
Core Problem: Slushflows pose a hazard in cold regions.
Key Innovation: Combining observations and modeling to understand slushflow dynamics at Atigun Pass, Alaska.
47. Capturing dynamic rockburst behaviors of deep rock masses with a novel nonlocal general particle dynamic method
Core Problem: Understanding and predicting rockbursts in deep rock masses.
Key Innovation: A novel nonlocal general particle dynamic method for simulating dynamic rockburst behaviors.
48. A novel Bayesian network-enhanced 3D digital rock mass rating (DRMR3D) system for large-scale rock mass characterization using photogrammetry
Core Problem: Efficient and accurate rock mass characterization for stability analysis.
Key Innovation: Integration of Bayesian networks with 3D digital rock mass rating using photogrammetry for improved rock mass characterization.
49. Data-driven apparent earth pressure prediction in braced excavations in stratified soft-stiff clay deposits
Core Problem: Predicting earth pressure in braced excavations for stability.
Key Innovation: Data-driven approach for predicting apparent earth pressure in stratified clay deposits.
50. Dynamic interaction and damage characteristics of multi-anchor circular piles-landslide system: Shaking table test
Core Problem: Understanding the dynamic interaction between multi-anchor circular piles and a landslide system under seismic loading.
Key Innovation: Shaking table test to investigate the dynamic response and damage characteristics of a multi-anchor circular pile-landslide system.
51. An experimental study on the densification mechanism of coarse-grained landslide deposits from Southeastern Tibet under dynamic compaction
Core Problem: Investigating the densification mechanism of coarse-grained landslide deposits under dynamic compaction.
Key Innovation: Experimental study focusing on the densification behavior of landslide deposits in Southeastern Tibet under dynamic compaction.
52. Investigation of the dynamic response and cumulative damage process of anti-dip weak-interlayer slopes under seismic loading
Core Problem: Analyzing the dynamic response and cumulative damage process of anti-dip weak-interlayer slopes under seismic loading.
Key Innovation: Focuses on the seismic behavior of slopes with weak interlayers, relevant to understanding landslide triggering mechanisms.
53. Research on moisture field evolution and settlement deformation mechanisms induced by infiltration at slope toe of high-fill loess highway slope based on model experiment
Core Problem: Understanding the impact of water infiltration on the stability and deformation of loess slopes in highway construction.
Key Innovation: Model experiment to analyze moisture field evolution and settlement deformation mechanisms at the slope toe.
54. Dynamic response and failure characteristics of the bedrock-soil layer slope reinforced by a novel anchor-pile: insights from a large-scale shaking table test
Core Problem: Investigating the dynamic behavior and failure modes of bedrock-soil slopes under seismic loading and the effectiveness of anchor-pile reinforcement.
Key Innovation: Large-scale shaking table test to simulate seismic conditions and evaluate the performance of a novel anchor-pile reinforcement system.
55. Airport infrastructure risk to liquefaction by deploying multi-modal data and remote sensing
Core Problem: Assessing the risk of liquefaction to airport infrastructure using multi-modal data and remote sensing techniques.
Key Innovation: Integration of diverse data sources and remote sensing for liquefaction risk assessment in airport environments.
56. Influence of interweaving configuration and impactor rotation on the performance of flexible rockfall barriers
Core Problem: Optimizing the design of flexible rockfall barriers to improve their impact resistance.
Key Innovation: Analyzing the influence of interweaving configuration and impactor rotation on barrier performance.
57. Resilience assessment of highway roads affected by slope failures induced by mainshock-aftershock sequences: insights from vine copula fragility surfaces
Core Problem: Assessing the resilience of highway roads to slope failures caused by earthquake sequences.
Key Innovation: Using vine copula fragility surfaces to model the impact of mainshock-aftershock sequences on slope stability and road network resilience.
58. Hybrid ensemble models for enhanced slope stability prediction based on a comprehensive database
Core Problem: Improving the accuracy of slope stability prediction using machine learning techniques.
Key Innovation: Development of hybrid ensemble models based on a comprehensive database for enhanced slope stability prediction.
59. Seismic Response and Pile-Rock Interaction Mechanisms in Bedding Rock Slope: A Combined Centrifuge Modeling and Numerical Simulation Study
Core Problem: Understanding the seismic response and pile-rock interaction in bedding rock slopes.
Key Innovation: Combined centrifuge modeling and numerical simulation to analyze seismic behavior.
60. Real-time early warning of landslide disaster risks on major highways in Ganzhou City, China
Core Problem: Real-time monitoring and prediction of landslide risks on highways.
Key Innovation: Development of a real-time early warning system for landslide disasters.
61. Intelligent characterization of discontinuities and heterogeneity evaluation of potential hazard sources in high-steep rock slope by TLS-UAV technology
Core Problem: Characterizing discontinuities in rock slopes for hazard assessment.
Key Innovation: Using TLS-UAV technology for intelligent characterization of rock slope discontinuities.
62. A numerical model for cascading glacier mass flow analysis (GMFA): Erosion-deposition dynamics, phase changes, and multi-hazard chain transformations
Core Problem: Modeling glacier mass flows and their impact.
Key Innovation: A numerical model for cascading glacier mass flow analysis, considering erosion, deposition, and phase changes.
63. Pore pressure evolution and entrainment mechanism of convex unsaturated colluvial beds with divergent compositions under debris flow overriding
Core Problem: Understanding debris flow dynamics and entrainment mechanisms.
Key Innovation: Analysis of pore pressure evolution and entrainment in colluvial beds during debris flow overriding.
64. Prediction of initiation and failure of unsaturated loess slopes using a sliding-block model
Core Problem: Predicting slope failure in unsaturated loess.
Key Innovation: Using a sliding-block model to predict the initiation and failure of unsaturated loess slopes.
65. A rainfall infiltration-redistribution model for heterogeneous slopes considering multi-parameter uncertainties
Core Problem: Modeling rainfall infiltration in heterogeneous slopes.
Key Innovation: Development of a rainfall infiltration-redistribution model considering multi-parameter uncertainties.
66. Dilation on granular flows: Insight for friction weakening on debris avalanches
Core Problem: Understanding friction weakening in debris avalanches.
Key Innovation: Investigating the role of dilation in granular flows to explain friction weakening in debris avalanches.
67. Deformation characteristics of unsaturated slope during post-rainfall earthquake: Insights from centrifuge and numerical modeling
Core Problem: Analyzing slope deformation under rainfall and earthquake conditions.
Key Innovation: Using centrifuge and numerical modeling to understand the deformation characteristics of unsaturated slopes during post-rainfall earthquakes.
68. Can different machine learning methods have consistent interpretations of DEM-based factors in shallow landslide susceptibility assessments?
Core Problem: Assessing landslide susceptibility using DEM-based factors and machine learning.
Key Innovation: Comparing interpretations of DEM-based factors across different machine learning methods for landslide susceptibility.
69. Synchronized Multidisciplinary Observations in Large‐Scale Dam Breach Experiments to Enhance the Understanding of Dam Failure Evolution
Core Problem: Understanding dam failure evolution is crucial for hazard assessment and risk mitigation, but current understanding is limited.
Key Innovation: Large-scale dam breach experiments with synchronized multidisciplinary observations to enhance the understanding of dam failure evolution.
70. Quantifying cascading impacts through road network analysis in an insular volcanic setting: the 2021 Tajogaite eruption of La Palma Island (Spain)
Core Problem: Volcanic eruptions can cause cascading impacts on infrastructure and essential services, requiring effective risk management and mitigation strategies.
Key Innovation: Quantifying the cascading impacts of the 2021 Tajogaite eruption on La Palma, Spain, using forensic techniques and network analysis to assess the effects on the road network and systemic disruptions to emergency services, health centers, agriculture, and education.
71. Effective storm surge risk assessment and deep reinforcement learning based evacuation planning: a case study of Daya Bay Petrochemical Industrial Zone
Core Problem: Storm surges pose a significant flooding risk to coastal areas, requiring effective risk assessment and evacuation planning.
Key Innovation: A comprehensive approach to storm surge risk assessment and evacuation route planning in the Daya Bay Petrochemical Industrial Zone using deep reinforcement learning.
72. Elevation dependent spatial interpolation of hourly rainfall for accurate flood inundation modelling
Core Problem: High-resolution rainfall data is essential for accurate flood inundation modeling, but its availability is limited.
Key Innovation: A method to generate hourly and 1 km gridded rainfall data for detailed hydrodynamic flood modelling purposes, using point measurements and thin-plate spline interpolation.
73. An explainable deep learning model based on hydrological principles for flood simulation and forecasting
Core Problem: Deep learning models achieve strong results in hydrological simulations but often lack links to physical processes, making them difficult to explain and interpret.
Key Innovation: Integrating the principles of the Xinanjiang rainfall–runoff model into a recurrent neural network layer, then combining it with long short-term memory layers to improve accuracy while keeping the model explainable.
74. Swiss glacier mass loss during the 2022 drought: persistent streamflow contributions amid declining melt water volumes
Core Problem: Glacier meltwater contribution to streamflow during drought periods is essential, but its contribution is declining.
Key Innovation: Calculated water balance anomalies for 88 glacierized catchments in Switzerland, showing that glaciers played a crucial role in alleviating the drought situation by melting at record rates, partially compensating for the lack of rain and snowmelt.
75. Seismicity diagnostic of permeability creation from centimeter to subkilometer scales in crystalline rock during shear stimulation
Core Problem: Understanding permeability creation in crystalline rock during shear stimulation.
Key Innovation: Using seismicity to diagnose permeability changes at various scales.
76. Tidal and environmental modulation of seismic noise at Mefite d'Ansanto (Italy) non-volcanic CO2 emission field
Core Problem: Exploring the influence of external drivers on seismic noise parameters in a non-volcanic CO2 emission area.
Key Innovation: Using seismic noise as a monitoring tool for tracking external forcing mechanisms acting on geofluid systems.
77. Towards a risk-informed land system approach in the age of artificial intelligence and analysis-ready satellite data
Core Problem: Improving land system management using AI and satellite data for risk assessment.
Key Innovation: Integrating AI and analysis-ready satellite data for risk-informed land management.