Applicability of the daily hydrological models (GR4J, GR5J, and GR6J) in the South Korean basins [PDF]
Despite 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
doaj +6 more sources
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.
Elia Cantoni +6 more
doaj +5 more sources
IHACRES, GR4J and MISD-based multi conceptual-machine learning approach for rainfall-runoff modeling [PDF]
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 +4 more sources
Runoff simulation of the Kaidu River Basin based on the GR4J-6 and GR4J-6-LSTM models
Study 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
doaj +4 more sources
Regionalization of GR4J model parameters for river flow prediction in Paraná, Brazil [PDF]
Regionalization methods dependent on hydrological models comprise techniques for transferring calibrated parameters in instrumented watersheds (donor basins) to non-instrumented watersheds (target basins).
L. A. Kuana +4 more
doaj +4 more sources
The management of water resources requires as a first step the modeling of rainfall-runoff. It allows simulating the hydrological behavior of the basin for a good evaluation of the potentiality of this in terms of water production.
Oueldkaddour Fatima-Zehrae Elhallaoui +3 more
doaj +2 more sources
Realistic daily discharge modelling in data-deficient regions using DL-assisted, parametrically-optimized hydrological model [PDF]
The 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
Improving Efficiency of Hydrological Prediction Based on Meteorological Classification: A Case Study of GR4J Model [PDF]
Distribution of hydrological parameters is varied under contrasting meteorological conditions. However, how to determine the most suitable parameters on a predefined meteorological condition is challenging. To address this issue, a hydrological prediction method based on meteorological classification is established, which is conducted by using the ...
Lihua Xiong +2 more
exaly +2 more sources
Calibration of the hydrological model GR4J from potential evapotranspiration estimates by the Penman-Monteith and Oudin methods in the Ouémé watershed (West Africa) [PDF]
The Ouémé watersheds at Bétérou and Bonou has been recently facing increased sensitivity to extreme hydroclimatic phenomena that occurred by flooding or drought events.
D. J. Kodja +8 more
doaj +3 more sources
Bayesian inference of synthetic daily rating curves by coupling Chebyshev Polynomials and the GR4J model [PDF]
In fluvial dynamics studies, there are instances where it becomes necessary to estimate the daily discharge of a river in locations where only one instantaneous level record is available per day.
R. Navas +3 more
doaj +3 more sources

