2017
DOI: 10.1007/s12517-017-3086-x
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The rainfall-runoff model GR4J optimization of parameter by genetic algorithms and Gauss-Newton method: application for the watershed Ourika (High Atlas, Morocco)

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Cited by 16 publications
(9 citation statements)
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“…The optimization of the GR4J model parameters has been carried out using genetic and Gauss-Newton algorithms. Based on these studies' results, genetic algorithms and Gauss-Newton successfully increased Nash criteria with values above 70% from the previous value of only 48% [17].…”
Section: Introductionmentioning
confidence: 90%
See 1 more Smart Citation
“…The optimization of the GR4J model parameters has been carried out using genetic and Gauss-Newton algorithms. Based on these studies' results, genetic algorithms and Gauss-Newton successfully increased Nash criteria with values above 70% from the previous value of only 48% [17].…”
Section: Introductionmentioning
confidence: 90%
“…Fig. 2 The GR4J rain-flow surface model [28] PSO is a population-based search algorithm. PSO is an algorithm based on the swarming behavior of animals in nature [29].…”
Section: Gr4j Parameter Optimization With Pso Algorithmmentioning
confidence: 99%
“…Indeed, the GR models are lumped rainfall-runoff models that have been applied to several hundred catchments over a wide range of countries and climates (e.g. Mathevet, 2005, Harlan et al, 2010, Coron et al, 2012, Boumenni et al, 2017, Gaba et al, 2017 and GR4H has already been used for simulating flash floods (Bennett et al, 2014, Ficchì et al, 2016. Moreover, the most cited limitation of GR4H is its poor performance during low flows (Pushpalatha, et al, 2011).…”
Section: Performance Of Gr4hmentioning
confidence: 99%
“…Previous studies have shown that most of the hydrological models can simulate streamflow processes well in humid and semi-humid regions, but hydrological modelling in arid and semi-arid regions has always been a great challenge to hydrologists, particularly under the changing environment (Molina-Navarro et al, 2016;Bugan et al, 2020). The GR4J model, as a lumped conceptual model, has been widely applied in various climate regions of the world because of its distinctive characteristics in principle and structure (Boumenni et al, 2017;Sezen and Partal, 2019). Zeng et al (2019) investigated the predictive ability and robustness of the GR4J model with timevarying parameters under changing environments and improved the performance of streamflow simulations in Wei River Basin.…”
Section: Introductionmentioning
confidence: 99%