Results 211 to 220 of about 38,991 (302)
Multi-step ahead streamflow and uncertainty forecasting using a HyMoLAP rainfall-runoff model-based framework integrated with Bayesian neural networks in the Ouémé river basin, Benin. [PDF]
Ezéckiel Houénafa S +3 more
europepmc +1 more source
Abstract Accurate estimation of terrestrial evapotranspiration (ET) is vital for understanding global water and energy cycles. However, current global ET estimations are not well constrained. This study introduces an integrated framework combining the Maximum Entropy Production (MEP) theory with Random Forest (RF) model to improve global ET estimation.
Donghui Xu +6 more
wiley +1 more source
Disentangling climate and policy uncertainties for the Colorado River post-2026 operations. [PDF]
Wang B +4 more
europepmc +1 more source
Abstract Numerous dams and reservoirs have fundamentally altered streamflow regimes and terrestrial hydrology. However, large‐scale hydrological models still depend on simplified and often unrealistic reservoir operation schemes due to limited understanding of real‐world operation complexities and inaccessibility of long‐term in situ operation data ...
Yanan Chen +4 more
wiley +1 more source
Modeling runoff, sediment yield and conservation measures using SWAT in Ajima catchment, Upper Blue Nile Basin, Ethiopia. [PDF]
Hatiye SD, Tilahun TK, Edamo ML.
europepmc +1 more source
Abstract Floodwater can mobilize and redistribute large volumes of sediment from upland to downstream urban areas, threatening infrastructure, water quality, and ecosystem health. However, existing modeling approaches often fail to capture sediment dynamics in urban floodplains due to the lack of integration between upland hydrological processes and ...
Dongyu Feng +4 more
wiley +1 more source
Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning. [PDF]
Ji H +11 more
europepmc +1 more source
Abstract Precipitation is scarce in arid regions, making water redistribution a key driver of vegetation patterns, especially for non‐zonal vegetation in oases. Nevertheless, the coupling and mutual feedback mechanism between water and vegetation distribution is complex, and it has not been fully addressed. Taking an arid region of Northwest China as a
Xing Li +11 more
wiley +1 more source
Non-linear dynamics of United States streamflow dataset. [PDF]
Raczyński K, Grala K, Cartwright JH.
europepmc +1 more source
Abstract Accurate predictions of streamflow are needed to manage water resources, evaluate flooding risks, and support agriculture and industry. Many hydrological studies rely on a single model structure and parameter set applied uniformly across space and held fixed over time, limiting their ability to represent spatiotemporal changes in hydrological ...
C. Thébault +4 more
wiley +1 more source

