Results 121 to 130 of about 50,709 (241)

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

open access: yesWater 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   +7 more
wiley   +1 more source

Modelling the monthly hydrological balance using Soil and Water Assessment Tool (SWAT) model: A case study of the Wadi Mina upstream watershed

open access: yesJournal of Groundwater Science and Engineering
Modelling the hydrological balance in semi-arid zones is essential for effective water resource management, encompassing both surface water and groundwater. This study aims to model the monthly hydrological water cycle in the Wadi Mina upstream watershed
Hanane Mebarki   +2 more
doaj   +1 more source

Addressing Uncertainty in TMDLS: Short Course at Arkansas Water Resources Center 2001 Annual Conference [PDF]

open access: yes, 2001
Management of a critical natural resource like water requires information on the status of that resource. The US Environmental Protection Agency (EPA) reported in the 1998 National Water Quality Inventory that more than 291,000 miles of assessed rivers ...
Matlock, Marty, Murawski, Matthew
core   +2 more sources

Physics‐AI Synergized Optimization‐Learning‐Simulation Framework for Robust Cascade Reservoir Scheduling Under Future Hydrological Uncertainty

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract Coordinated optimization of cascade reservoirs is critical for maximizing a river basin's economic, social, and ecological benefits. However, conventional hydropower scheduling lacks adaptability to complex future scenarios, constrained by seasonal hydrological variability and uncertain inflows.
Zhaoyang Zhu   +7 more
wiley   +1 more source

Comparison of the performance of SWAT and hybrid M5P tree models in rainfall–runoff simulation

open access: yesJournal of Water and Health
Stream flow forecasting is a crucial aspect of hydrology and water resource management. This study explores stream flow forecasting using two distinct models: the Soil and Water Assessment Tool (SWAT) and a hybrid M5P model tree.
Shailesh Kumar   +2 more
doaj   +1 more source

RETRACTED: Hydrological modeling using SWAT model and geoinformatic techniques

open access: yesThe Egyptian Journal of Remote Sensing and Space Science, 2014
This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy).This paper has been retracted upon the request of the author and the editor as the paper requires major revision. The author did not have the permission to publish part of the discharge information presented in Figures 10 ...
openaire   +1 more source

The Enduring Allure of Neoliberalism: Individualising Responsibility for Housing Costs in the English Private Rental Sector

open access: yesThe Modern Law Review, Volume 89, Issue 3, Page 467-491, May 2026.
This paper explores how the affordability of rents is addressed in the long‐anticipated reform of the English private rental sector (PRS) by the Renters’ Rights Act 2025. The PRS has doubled in size since 2010, acting as a social housing substitute for some households.
Emma Laurie
wiley   +1 more source

South African soil, land cover and weather generator file databases for SWAT applicationsMendeley Data

open access: yesJournal of Hydrology: Regional Studies
Study region: South Africa. Study focus: The focus of the study is to develop soil, land cover and weather generator file datasets for Soil and Water Assessment Tool (SWAT) applications in South Africa. The first objective was to format national datasets
Jay le Roux   +5 more
doaj   +1 more source

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