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[HTML][HTML] Deep learning for geological hazards analysis: Data, models, applications, and opportunities
As natural disasters are induced by geodynamic activities or abnormal changes in the
environment, geological hazards tend to wreak havoc on the environment and human …
environment, geological hazards tend to wreak havoc on the environment and human …
[HTML][HTML] Geographical landslide early warning systems
The design, implementation, management, and verification of landslide early warning
systems (LEWSs) are gaining increasing attention in the literature and among government …
systems (LEWSs) are gaining increasing attention in the literature and among government …
Deep learning forecast of rainfall-induced shallow landslides
Rainfall triggered landslides occur in all mountain ranges posing threats to people and the
environment. Given the projected climate changes, the risk posed by landslides is expected …
environment. Given the projected climate changes, the risk posed by landslides is expected …
A review of the recent literature on rainfall thresholds for landslide occurrence
The topic of rainfall thresholds for landslide occurrence was thoroughly investigated,
producing abundance of case studies at different scales of analysis and several technical …
producing abundance of case studies at different scales of analysis and several technical …
Regional early warning model for rainfall induced landslide based on slope unit in Chongqing, China
S Liu, J Du, K Yin, C Zhou, C Huang, J Jiang, J Yu - Engineering Geology, 2024 - Elsevier
Recent advances in the diversity and systematization of design methods and real-time data
have led to a general elevation in spatio-temporal accuracy for regional landslide early …
have led to a general elevation in spatio-temporal accuracy for regional landslide early …
Hydrogeomorphic response to extreme rainfall in headwater systems: Flash floods and debris flows
Flash floods and debris flows develop at space and time scales that conventional
observation systems for rainfall, streamflow and sediment discharge are not able to monitor …
observation systems for rainfall, streamflow and sediment discharge are not able to monitor …
Debris-flow monitoring and warning: Review and examples
Debris flows represent one of the most dangerous types of mass movements, because of
their high velocities, large impact forces and long runout distances. This review describes …
their high velocities, large impact forces and long runout distances. This review describes …
Soil moisture information can improve shallow landslide forecasting using the hydrometeorological threshold approach
Empirical thresholds indicating the meteorological conditions leading to shallow landslide
triggering are one of the most important components of landslide early warning systems …
triggering are one of the most important components of landslide early warning systems …
[HTML][HTML] Urban pluvial flooding prediction by machine learning approaches–a case study of Shenzhen city, China
Urban pluvial flooding is a threatening natural hazard in urban areas all over the world,
especially in recent years given its increasing frequency of occurrence. In order to prevent …
especially in recent years given its increasing frequency of occurrence. In order to prevent …
[HTML][HTML] A tool for the automatic calculation of rainfall thresholds for landslide occurrence
Empirical rainfall thresholds are commonly used to forecast landslide occurrence in wide
areas. Thresholds are affected by several uncertainties related to the rainfall and the …
areas. Thresholds are affected by several uncertainties related to the rainfall and the …