Results 121 to 130 of about 9,045 (269)
ABSTRACT Forest ecosystem services (ESs) are garnering increasing public attention as awareness grows regarding society's fundamental dependence on them for well‐being. Forest fires, one of the major disturbances of ESs, are becoming more frequent and destructive, exacerbated in part by climate change.
Emanuele Spada +6 more
wiley +1 more source
Modern Submarine Landslide Complexes
Submarine landslides have been identified in almost all ocean basins worldwide. The largest submarine landslides occur on very shallow slopes and can be far larger than any terrestrial landslide. Submarine landslides can produce tsunami whose far‐reaching effects can rival those produced by earthquake‐tsunamis and threaten increasingly populated ...
Huhn, Katrin +12 more
openaire +2 more sources
Abstract High‐resolution climate simulations are essential to study sub‐daily extreme precipitation, yet their computational demands make long‐term large‐ensemble simulations over a large geographical region often infeasible. We introduce a case‐selective dynamical downscaling (CSDD) framework that reconstructs extreme precipitation statistics at ...
Wout Dewettinck +4 more
wiley +1 more source
ABSTRACT Sediment connectivity between source areas and the main streams or local sinks is a complex and dynamic process, especially in large basins due to multiple heterogeneities and interactions between connectivity components. Sediment connectivity indices are promising tools to investigate sediment transport, especially in data‐scarce or large ...
Zhenni Wu +3 more
wiley +1 more source
Low–angle submarine landslides pose a greater threat to offshore infrastructure compared to those with steep sliding angles. Understanding the preparation and triggering mechanism of these low–angle submarine landslides remains a significant challenge ...
Zhenghui Li +8 more
doaj +1 more source
Landslide susceptibility mapping in India's Western Ghats using machine learning revealed high‐risk zones driven by deforestation, slope alteration and road proximity. The Random Forest model showed highest accuracy, supporting targeted mitigation, planning and early warning systems.
Manoranjan Mishra +4 more
wiley +1 more source
The U.S. Geological Survey recently updated the National Seismic Hazard Model (NSHM) for Puerto Rico and the U.S. Virgin Islands (PRVI). The first version of the PRVI NSHM was released in 2003, and therefore this 2025 update includes over 20 years of new geologic, geophysical, and engineering data, methods, and models.
Allison M. Shumway +21 more
wiley +1 more source
Numerical Modeling of Tsunamis Generated by Subaerial, Partially Submerged, and Submarine Landslides
Using the existing two-dimensional experimental data and Open-source Fields Operation and Manipulation (OpenFOAM) software, this study performs a comprehensive comparative analysis of three types of landslide-generated tsunamis (subaerial, partially ...
Tomoyuki Takabatake, Ryosei Takemoto
doaj +1 more source
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

