Newton method–GR1 coupling to model rainfall–runoff relationship: case study—Boumessaoud basin (NO of Algeria) and Seine basin (NO of France)

被引：0
作者：
Oulad Naoui Noureddine
Sekkoum Mohamed
Cherif El Amine
Djehiche Abdelkader
机构：
[1] University Amine ElokkalElhaj Moussa EgAkhamok,Material and Energies Research Laboratory, Department of Science and Technology
[2] Amar Telidji University,Department of Civil Engineering, Faculty of Civil Engineering and Architecture
[3] University of Science and Technology of Oran Mohamed Boudiaf,undefined
来源：
Modeling Earth Systems and Environment | 2022年 / 8卷
关键词：
Modeling; Newton method; Algorithm; Rainfall–runoff; Hydrology; GR1A model;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Correction coefficient value is one of the important parameters and fundamental keys for estimating a modeled runoff of various regions. In this study, rainfall–runoff relationship is modeled by calibration GR1A (annual GR model) model using mathematical Newton method. This calibration allows hydrological experts to calibrate their models and critic their results for making decision. The optimal configuration of Newton–GR1A coupling for modeling yearly rainfall–runoff relationship was related by antecedent year, correction coefficient values of 1.21 and 1.69 for Boumessaoud and Seine, respectively. Newton method provides a more mathematical approach, reduces the time of modeling. At the same time, it represents high flexibility and is simple and effective.
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页码：5023 / 5029
页数：6
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[1]  
Burn D(2002)Detection of hydrologic trends and variability J Hydrol 255 107-122
[2]  
Elnur M(2005)Iterative methods improving Newton's method by the decomposition method Comput Math Appl 50 1559-1568
[3]  
Changbum C(2013)Using artificial neural network approach for modelling rainfall–runoff due to typhoon J Earth Syst Sci 122 399-405
[4]  
Chen SM(2019)Climate-induced hydrological impact mitigated by a high-density reservoir network in the Poyang Lake Basin J Hydrol 2 91-94
[5]  
Wang YM(2020)application of the cross-simulations method to the analysis tendencies in the relation rainfall-flow: case of the mekerra watershed (algeria) J Sci Technol 17 1893-1912
[6]  
Tsou I(2013)A framework to assess the realism of model structures using hydrological signatures Hydrol Earth Syst Sci 22 6005-6022
[7]  
Dong N(2018)Rainfall–runoff modelling using long short-term memory (LSTM) networks Hydrol Earth Syst Sci 312 125-147
[8]  
Yu Z(2005)Selection of conceptual models for regionalization of the rainfall-runoff relationship J Hydrol 62 307-323
[9]  
Gu H(2013)An efficient fourth order weighted-Newton method for systems of nonlinear equations Numer Algorithm 53 291-307
[10]  
Yang C(1994)A projective quasi-Newton method for nonlinear optimization J Comput Appl Math 6 53-58
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