Results 71 to 80 of about 7,970 (210)

Comparative Studies Are Needed to Contextualize Stranding in Hydropeaking River Systems

Fisheries Management and Ecology, EarlyView.
Raegan Davis, Steven J. Cooke, Karen E. Smokorowski   +2 more
wiley   +1 more source

A Machine Learning Framework for Flood Risk Assessment With Imbalanced Data

Journal of Flood Risk Management, Volume 19, Issue 4, December 2026.
ABSTRACT This study presents a machine‐learning framework for identifying areas of elevated flood risk using imbalanced, high‐dimensional geospatial datasets. Using the Mandra River Basin in Greece as a case study, an extreme gradient boosting (XGBoost) classifier was trained on 11 flood‐related features including hydrological, meteorological, soil and
Alexia Tsouni, Constantinos F. Panagiotou, Charalampos Konstantinou, Vasiliki Pagana, Diofantos Hadjimitsis, Nikos Mamassis, Demetris Koutsoyiannis, Charalampos Kontoes   +7 more
wiley   +1 more source

Heterogeneous impacts of climate change on streamflow in typical watersheds of three mountain systems in Xinjiang, Northwest China

International Journal of Applied Earth Observations and Geoinformation
Managing water resources in alpine, cold regions is increasingly complicated by climate change, which alters streamflow patterns and poses significant challenges to resource sustainability.
Chanjuan Zan, Yue Huang, Xiaohui Pan, Ping Chen, Weian Si, Jiabin Peng, Wenze Chen, Tie Liu   +7 more
doaj   +1 more source

Perceiving Protection: Public Interpretation of Institutions in Managed Flood Settings

Journal of Flood Risk Management, Volume 19, Issue 4, December 2026.
ABSTRACT Floods rank among the most frequent and widely managed hazards worldwide. While considerable research has examined public perceptions of flood risk, less attention has been paid to how people interpret institutional presence, action, and responsibility in flood‐prone settings shaped by infrastructure and governance systems. This paper presents
Phyllis Ang‐E‐Mwin Gyang, Ashton Shortridge, Leo Charles Zulu   +2 more
wiley   +1 more source

Forecasting Cascading and Compounding Flood Risk From Earthquake‐Induced Ground Deformation

Journal of Flood Risk Management, Volume 19, Issue 4, December 2026.
ABSTRACT Large earthquakes can disrupt river systems and produce abrupt, unforeseen changes in flood risk. Forward modelling of earthquake‐related surface deformation and its influence on inundation extent, depth, and frequency enables pre‐emptive assessment of exposure to this compound hazard.
Erin McEwan, Timothy Stahl, Andy Howell, Matthew Wilson   +3 more
wiley   +1 more source

Changes in Flood Frequency and Seasonality Across Midwestern U.S. Watersheds Under a Warming Climate: Insights From Convection‐Permitting Climate Simulations and Physics‐Based Hydrologic Models

Geophysical Research Letters, Volume 53, Issue 20, 28 October 2026.
Abstract We combine CONUS404 convection‐permitting climate simulations with the physics‐based WRF‐Hydro model to assess how climate warming may influence flood frequency and seasonality across the Midwestern United States. This framework captures interactions among precipitation, soil moisture, and snowpack that shape flood generation.
Mohammad Abbasian, Daniel B. Wright, Michael Notaro, Steve Vavrus, Daniel J. Vimont   +4 more
wiley   +1 more source

Flood Responses to Climate Warming on Tribal Lands Using High‐Resolution Hydrodynamic Modeling

Geophysical Research Letters, Volume 53, Issue 20, 28 October 2026.
Abstract Tribal nations across the United States face disproportionate flood impacts yet remain significantly underrepresented in national‐scale assessments, creating a critical equity gap in climate adaptation. We address this deficiency through a climate‐to‐local‐inundation framework for the Santee Sioux Nation, Nebraska, by forcing 10‐m hydrodynamic
Tianjiao Pu, Gabriele Villarini, Renato S. Amorim, Donghui Li, Sudershan Gangrade, Martha Durr, Brandi Janssen   +6 more
wiley   +1 more source

Exploring the Controlling Factors of Watershed Streamflow Variability Using Hydrological and Machine Learning Models

Water Resources Research
Studying streamflow processes and controlling factors is crucial for sustainable water resource management. This study demonstrated the potential of integrating hydrological models with machine learning by constructing two machine learning methods ...
Bingbing Ding, Xinxiao Yu, Guodong Jia
doaj   +1 more source

Cold‐Air Pooling and Temperature‐Elevation Mapping in a Colorado Watershed

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 19, 16 October 2026.
Abstract Near‐surface air temperature grids are important environmental model forcings. In narrow mountain valleys, most gridded products are too coarse to resolve variability across slopes, so regional studies often map temperature across terrain following locally determined lapse rates.
John Cramblitt, Rosemary W. H. Carroll, Jessica D. Lundquist   +2 more
wiley   +1 more source

Quantifying Land–Sea Connectivity Through Remotely Sensed River Plumes

Geophysical Research Letters, Volume 53, Issue 19, 16 October 2026.
Abstract Coastal ecosystems are highly influenced by riverine freshwater inputs, but the nature of these influences is dynamic and hard to characterize. Here we present a method that leverages remote sensing data of river plumes to quantify land–sea connectivity.
Kelly L. Hondula, Albert Ruhí, Gregory P. Asner, Rachel R. Carlson   +3 more
wiley   +1 more source