Results 221 to 230 of about 93,091 (302)

Predicting groundwater storage from seasonal managed aquifer recharge: insights from machine learning and explainable AI techniques. [PDF]

Environ Earth Sci
Fernandes VJ, de Louw PGB, Ritsema CJ, Bartholomeus RP.   +3 more
europepmc   +1 more source

A Socio‐Hydrological Model for Adaptive Water Allocation in the Heihe River Basin

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Sustainable management of river basins requires an understanding of how water allocation responds to the human decisions driving it, along with the subsequent economic and ecological consequences. Current models often consider water allocation decisions as single and discontinuous events, overlooking the continuous and adaptive nature of human
Ziyan Han, Yongping Wei, Jijun Meng, Bojie Fu, Guodong Cheng   +4 more
wiley   +1 more source

Snow Water Storage Within Eight Pacific Coastal Watersheds in British Columbia (Canada) Inferred From Four Years of Airborne Lidar Data

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Maritime mountain snowpacks are among the least understood and most poorly quantified components of global snow water storage, despite their vital role in sustaining water supplies and ecosystem health. Here, we present a 4‐year record of snow mass distribution across eight small‐to‐medium‐sized (5.2–63.4 km2) watersheds within the coastal ...
R. Bisset, W. C. Floyd, B. Menounos, A. Bishop, S. Marchenko, G. Fisk, A. Cebulski, P. Marshall, D. Heathfield, S. Beffort, R. White, S. Gonzalez Arriola, N. Viner   +12 more
wiley   +1 more source

Mapping and predicting groundwater accumulations using remote sensing and aeromagnetic data: a case study from Bahariya Oasis, Western Desert, Egypt. [PDF]

Sci Rep
El-Badrawy HT, Abo Khashaba SM, Araffa SAS, Kassab M, Nagy M.   +4 more
europepmc   +1 more source

Using Environmental Tracers to Reduce Uncertainty in Natural Flood Management Modeling

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Natural flood management (NFM) is a nature‐based solution that has grown in importance within flood risk policy and management over the last two decades. There is limited evidence on nature‐based solutions' effectiveness, and no accepted best practice on forecasting their performance. To explore NFM effectiveness, we built a hydrological model
Sarah L. Collins, Leo Peskett, Andrew R. Black, Christopher R. Jackson, Andy Young, Alan M. MacDonald   +5 more
wiley   +1 more source

Integrated GIS and AHP framework for groundwater potential mapping in a Himalayan foothill district of Northeast India. [PDF]

Sci Rep
Basumatary S, Maji S.
europepmc   +1 more source

Integrating GRACE and InSAR Data to Assess Land Surface Displacement From Managed Aquifer Recharge

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Satellite‐based monitoring of groundwater changes and their surface effects is crucial for understanding hydrological processes and managing water resources in an era of increasing water scarcity. The Gravity Recovery and Climate Experiment follow‐on (GRACE‐FO) mission provides global measurements of terrestrial water storage anomalies, while ...
Ikechukwu Kalu, Pascal Castellazzi, Christopher E. Ndehedehe, Vagner G. Ferreira, Sreekanth Janardhanan, Matthew Currell, Mark J. Kennard   +6 more
wiley   +1 more source

Multimillennial climate-freshwater legacy beneath a large-river delta-front estuary. [PDF]

Sci Adv
Sheng C, Yuan L, Jiao JJ, Cai P, Luo X, Zuo J, Xiao K, Hensen C.   +7 more
europepmc   +1 more source

Detecting Forest Water‐Availability and Biomass Patterns Through a Retrospective Study in a Mediterranean Region

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Latent heat (λ $\lambda $ET) fluxes are a major component of the hydrological cycle globally. According to recent models and experimental observations, during droughts, wetter regions respond by increasing λ $\lambda $ET, while drier regions exhibit decreasing trends due to vegetation water stress.
Flavia Tauro, Ashenafi Tadesse Marye, Tommaso De Gregorio, Eloy Suarez Huerta   +3 more
wiley   +1 more source

Integration of geospatial techniques and artificial neural networks for groundwater potential zonation in India. [PDF]

Sci Rep
Badapalli PK, Nakkala AB, Pujari PS, Gugulothu S, Kottala RB, Mannala P, Alkhuraiji WS, Thamaga KH, Zhran M.   +8 more
europepmc   +1 more source