Results 111 to 120 of about 77,835 (200)

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

Toward improved streamflow forecasts: Value of semidistributed modeling [PDF]

, 2001
The focus of this study is to assess the performance improvements of semidistributed applications of the U.S. National Weather Service Sacramento Soil Moisture Accounting model on a watershed using radar-based remotely sensed precipitation data ...
Boyle, DP, Gupta, HV, Koren, V, Smith, M, Sorooshian, S, Zhang, Z   +5 more
core   +1 more source

Uncertainty Analysis of Internal Hydrological Processes in Two Agricultural Catchments in Ireland via Stochastic Calibration of SWAT+

Hydrological Processes, Volume 40, Issue 4, April 2026.
Extension of uncertainty analysis beyond outlet streamflow to hydrological fluxes via different pathways contributes to more robust characterisation and understanding of internal surface and subsurface hydrological processes in river catchments and process uncertainty across different behavioural parameter sets that achieve satisfactory performance for
Rodhraí Crowley, Joe Harrington
wiley   +1 more source

Low streamflow in the Myakka River Basin Area in Florida [PDF]

, 1968
The Sarasota-Manatee area is a water-short area and the study was undertaken in 1963 in order to determine the storage capability and discharge rates of the Myakka water shed. It was found that many of the streams of the water shed were virtually dry
Flippo, H. N., Joyner, B.F.
core  

Annual Streamflow and Flood Event Simulation for Future Water Supply—A Multiple Lines of Evidence Approach

Earth's Future, Volume 14, Issue 4, April 2026.
Abstract Effective water resource management under climate change is dependent on reliable modeling of future water availability, yet significant uncertainties remain due to shifting precipitation patterns and limitation in climate modeling. This study investigates a multiple‐lines‐of‐evidence approach aimed at reducing the uncertainty in projections ...
Caleb Dykman, Conrad Wasko, Rory Nathan, Ashish Sharma   +3 more
wiley   +1 more source

Quantifying propagation effects of climate and vegetation changes on evapotranspiration and streamflow signatures in Yarlung Tsangpo River Basin

Journal of Hydrology: Regional Studies
Study region: Yarlung Tsangpo River basin (YTRB) went through significant increases in precipitation, temperature and leaf area index (LAI) during 1982–2018.
Qi Huang, Yongqiang Zhang, Congcong Li, Ning Ma   +3 more
doaj   +1 more source

Drivers of Dissolved Organic Matter Quality and Concentration in a Mountainous Subarctic Watershed, Yukon, Canada

Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 4, April 2026.
Abstract Northern permafrost regions contain vast frozen stores of organic carbon that are vulnerable to thaw and mobilization. While considerable attention has been paid to carbon export from large Arctic rivers, gaps remain in characterizing dissolved organic matter (DOM) quality and export in permafrost influenced catchments that contain a mosaic of
Aliana C. Fristensky, Sean K. Carey
wiley   +1 more source

Evaluating the Impacts of Agriculture Conservation on Water Quantity and Quality Through Trend, Predictability, and Causality Analysis

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract We investigated the potential of nature‐based solutions within the context of agriculture conservation practices (ACPs) that impact watershed hydrology and water quality in Shell Creek, Nebraska, USA. This region serves as an example of a successful watershed conversion driven by the collaboration of local stakeholders and government agencies,
Shivendra Srivastava, Tirthankar Roy, Andrea Basche, Yongping Yuan, Elbert Traylor   +4 more
wiley   +1 more source

Improving Streamflow Prediction Using Multiple Hydrological Models and Machine Learning Methods

Water Resources Research
Streamflow prediction is crucial for flood monitoring and early warning, which often hampered by bias and uncertainties arising from nonlinear processes, model parameterization, and errors in meteorological forecast.
Hiren Solanki, Urmin Vegad, Anuj Kushwaha, Vimal Mishra   +3 more
doaj   +1 more source

Coupling Machine Learning and Physically Based Hydrological Models for Reservoir-Based Streamflow Forecasting

Remote Sensing
High-accuracy streamflow forecasting with long lead times can help promote the efficient utilization of water resources. However, the construction of cascade reservoirs has allowed the evolution of natural continuous rivers into multi-block rivers.
Benjun Jia, Wei Fang
doaj   +1 more source