Results 121 to 130 of about 18,543 (287)
Landslide risk management through spatial analysis and stochastic prediction for territorial resilience evaluation [PDF]
, 2019 Natural materials, such as soils, are influenced by many factors acting during their formative and evolutionary process: atmospheric agents, erosion and transport phenomena, sedimentation conditions that give soil properties a non-reducible randomness by
Cardarilli, M. +2 more
core +1 more source
Reviewing the Levee Effect: From Theory to Practice
Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.ABSTRACT Ongoing development in flood‐prone areas has intensified focus on flood‐risk management strategies. Constructed flood protections, like levees, lead to a false sense of security. Resulting development behind levees paradoxically increases flood risk, referred to as the levee effect.
Angela J. Catalano, Damon M. Hall
wiley +1 more source
Dynamic landslide susceptibility mapping over recent three decades to uncover variations in landslide causes in subtropical urban mountainous areas [PDF]
, 2023 Peifeng Ma +4 more
openalex +1 more source
Update of the European Landslide Susceptibility Map (ELSUS Version 2) [PDF]
, 2015 We present an update of the initial version of the European Landslide Susceptibility Map (ELSUS Version 1) that was released in 2012 through the EU Joint Research Centre (JRC) European Soil Data Centre (ESDAC).
GUNTHER Andreas +4 more
core
Landslide Mapping in Austria [PDF]
, 2009 Landslides are a major natural hazard in hilly and mountainous regions of Austria. The delineation and characterisation of landslide hazard areas in the whole country using a harmonized approach is of the utmost importance to the implementation of risk ...
HERVAS DE DIEGO Francisco +1 more
core +1 more source
Earthquake Spectra, Volume 42, Issue 2, May 2026.As fragility and risk modeling techniques and computational capabilities evolve, complemented by moving toward more routine and systematic seismic risk assessment of all buildings and critical infrastructure, the authors pose a few critical questions to investigate how the U.S. Geological Survey (USGS) National Seismic Hazard Models (NSHMs) can be used
Kishor S. Jaiswal, N. Simon Kwong
wiley +1 more source
Earthquake Spectra, Volume 42, Issue 2, May 2026.Engineers frequently use simplified seismic slope displacement procedures to evaluate the performance of earth structures and natural slopes. Current practices typically adopt Newmark‐type and semi‐empirical seismic displacement prediction models (SDPMs) to estimate the seismic slope displacements (D) based on ground motion intensity measures at a ...
Ali Fallah Yeznabad +3 more
wiley +1 more source
XGBoost Meets INLA: A Two‐Stage Spatio‐Temporal Forecasting of Wildfires in Portugal
Environmetrics, Volume 37, Issue 3, April 2026.ABSTRACT Wildfires pose a major threat to Portugal, with over 115,000 hectares burned annually on average during 1980–2024, and the country has faced devastating mega‐fires such as those in 2017. Accurate forecasts of wildfire occurrence and burned area are therefore essential for firefighting resource allocation and emergency preparedness.
Chenglei Hu +5 more
wiley +1 more source
Geoscience Data Journal, Volume 13, Issue 2, April 2026.The first openly accessible 2 m‐resolution lidar‐based DTM and an extensive set of land‐surface parameters (LSPs) for the region of São Sebastião and Ilhabela, southeastern Brazil, reveal geomorphological features previously indiscernible, including past landslide deposits, drainage captures and structural lineaments.
Rebeca Durço Coelho +3 more
wiley +1 more source