Applicability of the daily hydrological models (GR4J, GR5J, and GR6J) in the South Korean basins [PDF]
Scientific ReportsDespite the increasing frequency of extreme droughts caused by climate change, which prompts a reevaluation of the need for low-flow simulation, there is a lack of evaluation of low-flow estimation using GR5J and GR6J models in Korean basins compared to ...
Junehyeong Park +3 more
exaly +4 more sources
Journal of Hydrology: Regional Studies, 2022 Study region: This study is focused on 6 catchments in Tunisia, in North Africa, under a semi-arid climate where daily river discharge and precipitation observations are available between 1992 and 2006.
Vera Thiemig +2 more
exaly +5 more sources
Observed Hydroclimatic Trends and Their Implications Over Water‐Cycle Dynamics in Montérégie, Southern Quebec, Canada [PDF]
Global ChallengesA comprehensive understanding of groundwater recharge processes is essential for sustainable water resource management under climate change and increasing anthropogenic pressures. This study evaluates hydroclimatic trends (1980–2023) and their impacts on
Jorge Mona +4 more
doaj +3 more sources
Enhancing hydrological modeling with bias-corrected satellite weather data in data-scarce catchments: a comparative analysis of SWAT and GR4J models [PDF]
Frontiers in WaterHydrological models are widely used to assess climate change effect on water resources at the catchment scale. However, data scarcity is one of the main challenges faced by hydrological modelers especially in developing countries.
Youness Hrour +4 more
exaly +4 more sources
Physics-informed hybrid GR4J–XGBoost model for streamflow prediction: integrating conceptual states, SHAP interpretability, and uncertainty analysis [PDF]
Scientific ReportsAccurate streamflow prediction remains challenging due to the nonlinear and dynamic nature of rainfall–runoff processes. Conceptual hydrological models provide physically interpretable representations, yet their predictive performance is often limited ...
Ozgur Kisi +4 more
doaj +2 more sources
Realistic daily discharge modelling in data-deficient regions using DL-assisted, parametrically-optimized hydrological model [PDF]
Scientific ReportsThe rapid development of deep learning (DL) is the most significant contemporary evolution of hydrological science, yet its limitations remain underexplored.
Imee V. Necesito +5 more
doaj +2 more sources
A comparative assessment of cluster-based regionalization approaches using conceptual rainfall–runoff models [PDF]
Scientific ReportsAccurate streamflow prediction in ungauged catchments remains a central challenge in hydrology. We investigated the utility of regionalization methods to explore how hydrologically informed clustering influences parameter transferability and performance ...
Jamal Hassan Ougahi, John S. Rowan
doaj +2 more sources
IHACRES, GR4J and MISD-based multi conceptual-machine learning approach for rainfall-runoff modeling [PDF]
Scientific Reports, 2022 As a complex hydrological problem, rainfall-runoff (RR) modeling is of importance in runoff studies, water supply, irrigation issues, and environmental management.
Babak Mohammadi +2 more
doaj +2 more sources
Runoff simulation of the Kaidu River Basin based on the GR4J-6 and GR4J-6-LSTM models
Journal of Hydrology: Regional StudiesStudy region: The Kaidu River Basin originates from the southern slope of the Tienshan Mountains in the Xinjiang Uygur Autonomous Region, China. Study focus: Accurate runoff simulation and prediction significantly affect flood control, drought resilience,
Jing Yang +5 more
exaly +3 more sources
Water Resources ResearchReliable large‐sample hydrological predictions require systematic benchmarking and careful model selection. However, this process is challenging due to structural uncertainty among models, high computational demand, and the climatic and physiographic ...
Nikunj K. Mangukiya +3 more
doaj +2 more sources