Results 201 to 210 of about 38,991 (302)

Evaluating Approximations of River Channel Shape Using a National Cross‐Section Database

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Many hydrologic applications require basic information on the size and shape of river channels, but measuring cross section (XS) geometry in the field or via remote sensing can be costly and often provides only partial coverage. Given these challenges, we capitalized upon an existing data set of 46,971 XS from gaging stations to evaluate ...
C. J. Legleiter, P. J. Kinzel
wiley   +1 more source

Modeling Study on Enhancing Overall Sediment Transport Efficiency in a Reservoir‐River Coupled System of the Middle and Lower Yellow River

Water Resources Research, Volume 62, Issue 5, May 2026.
Graphical Abstract Abstract Effective sediment management in reservoir–river coupled systems remains a global challenge due to the conflicting objectives of sediment evacuation from reservoirs and deposition reduction in downstream reaches. This study proposed a physics‐based modeling framework oriented to a reservoir–river coupled system, which ...
Junqiang Xia, Xianziyi Zhang, Meirong Zhou, Yifei Cheng, Zuhao Zhou, Zenghui Wang, Zhanwei Wan, Roger A. Falconer   +7 more
wiley   +1 more source

Recent drying of the Ganga River is unprecedented in the last 1,300 years. [PDF]

Proc Natl Acad Sci U S A
Singh Chuphal D, Thirumalai K, Mishra V.
europepmc   +1 more source

An Interpretable Physics‐Guided Deep Learning (IPGDL) Framework for Blue‐Green Water Robust Projection and Nonlinear Interpretation in the River Basin

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Blue water (BW) and green water (GW) resources are fundamental to the hydrological cycle, yet their effective future projection and mechanistic understanding remain challenging. Both physics‐based and data‐driven models have limitations in complex hydrological long‐term projection and nonlinear interpretation.
Zhonghui Guo, Chang Feng, Qing Liu, Liu Yang, Yikun Lu, Yan Liu, Boning Zhao, Dan Wang   +7 more
wiley   +1 more source

Development of Gridded Root-Zone Soil Moisture Product for India, 1981-2024. [PDF]

Sci Data
Chuphal DS, Abhishek, Kushwaha AP, Vangala G, Mishra V.   +4 more
europepmc   +1 more source

Bayesian‐Belief Direct Policy Search for Adaptive Water Supply Planning With Endogenous Learning

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Climate change uncertainty challenges water supply planning, where long‐lived infrastructure must ensure reliable supply under evolving conditions. Adaptive planning addresses this by incrementally expanding infrastructure only as needed, reducing unnecessary investments.
Mofan Zhang, Megan Lickley, Marta Zaniolo, Arjun Nellikkattil, Sarah Fletcher   +4 more
wiley   +1 more source

Evaluating multi-source precipitation data for streamflow simulation using the SWAT model in the Alpine Manas River Basin, Northwest China. [PDF]

Sci Rep
Tan L, Zan C, Liu T, Xiong J, Zhang A.
europepmc   +1 more source

Enhancing 2D Hydrodynamic‐Based Flash Flood Simulations in Mountain Catchments: Analytical Insights From a Novel Steep‐Slope Shallow Water Framework

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Flash floods frequently occur in steep mountainous catchments, where topographic gradients play a crucial role in concentrating and accelerating runoff processes. Two‐dimensional (2D) shallow water equations (SWE) are widely used to simulate such events; however, these equations are classically derived assuming small bottom slopes, typically ...
P. Costabile, A. Maranzoni
wiley   +1 more source

A coupled spatial reduction-reconstruction and LSTM framework (SRR-LSTM) for groundwater level prediction in large irrigation districts. [PDF]

Sci Rep
Wei H, Wei G, Yu B, Peng Y, Wang M, Xu B, Liu S, Li Y.   +7 more
europepmc   +1 more source

On the Construction of Multivariate Drought Indices: Theoretical Foundations and Practical Implications

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Drought indices represent essential tools for monitoring and evaluating drought conditions and evolution. Univariate indices employ the Probability Integral Transform to map data onto the standard Gaussian domain. Extending such a Gaussian normalization procedure to multivariate settings requires the usage of the Kendall distribution function ...
Carlo De Michele, Gianfausto Salvadori, Fabrizio Durante, Amir AghaKouchak   +3 more
wiley   +1 more source