Surface runoff prediction and comparison using IHACRES and GR4J lumped models in the Mono catchment, West Africa

<p>This study aims to assess simulated surface runoff before and after dam construction in the Mono catchment (West Africa) using two lumped models: GR4J (Rural Engineering with 4 Daily Parameters) and IHACRES (Identification of unit Hydrographs and Component flows from Rainfall, Evapotranspir...

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Autores principales:	H. D. Koubodana, K. Atchonouglo, J. G. Adounkpe, E. Amoussou, D. J. Kodja, D. Koungbanane, K. Y. Afoudji, Y. Lombo, K. E. Kpemoua
Formato:	article
Lenguaje:	EN
Publicado:	Copernicus Publications 2021
Materias:	Environmental sciences GE1-350 Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/f9581699c0184c9db746e3f78e9c0148
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spelling	oai:doaj.org-article:f9581699c0184c9db746e3f78e9c01482021-11-16T06:53:13ZSurface runoff prediction and comparison using IHACRES and GR4J lumped models in the Mono catchment, West Africa10.5194/piahs-384-63-20212199-89812199-899Xhttps://doaj.org/article/f9581699c0184c9db746e3f78e9c01482021-11-01T00:00:00Zhttps://piahs.copernicus.org/articles/384/63/2021/piahs-384-63-2021.pdfhttps://doaj.org/toc/2199-8981https://doaj.org/toc/2199-899X<p>This study aims to assess simulated surface runoff before and after dam construction in the Mono catchment (West Africa) using two lumped models: GR4J (Rural Engineering with 4 Daily Parameters) and IHACRES (Identification of unit Hydrographs and Component flows from Rainfall, Evapotranspiration and Stream data) over two different periods (1964–1986 and 1988–2010). Daily rainfall, mean temperature, evapotranspiration and discharge in situ data were collected for the period 1964–2010. After the model's initialization, calibration and validation; performances analysis have been carried out using multi-objectives functions developed in R software (version 3.5.3). The results indicate that statistical metrics such as the coefficient of determination (<span class="inline-formula"><i>R</i><sup>2</sup></span>), the Kling–Gupta Efficiency (KGE), the Nash–Sutcliffe coefficient (NSE) and the Percent of Bias (PBIAS) provide satisfactory insights over the first period of simulation (1964–1986) and low performances over the second period of simulation (1988–2010). In particular, IHACRES model underestimates extreme high runoff of Mono catchment between 1964 and 1986. Conversely, GR4J model overestimates extreme high runoff and has been found to be better for runoff prediction of the river only between 1964 and 1986. Moreover, the study deduced that the robustness of runoff simulation between 1964 and 1986 is better than between 1988 and 2010. Therefore, the weakness of simulated runoff between 1988 and 2010 was certainly due to dam management in the catchment. The study suggests that land cover changes impacts, soil proprieties and climate may also affect surface runoff in the catchment.</p>H. D. KoubodanaH. D. KoubodanaH. D. KoubodanaK. AtchonougloJ. G. AdounkpeE. AmoussouE. AmoussouD. J. KodjaD. KoungbananeK. Y. AfoudjiY. LomboK. E. KpemouaCopernicus PublicationsarticleEnvironmental sciencesGE1-350GeologyQE1-996.5ENProceedings of the International Association of Hydrological Sciences, Vol 384, Pp 63-68 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Environmental sciences GE1-350 Geology QE1-996.5
spellingShingle	Environmental sciences GE1-350 Geology QE1-996.5 H. D. Koubodana H. D. Koubodana H. D. Koubodana K. Atchonouglo J. G. Adounkpe E. Amoussou E. Amoussou D. J. Kodja D. Koungbanane K. Y. Afoudji Y. Lombo K. E. Kpemoua Surface runoff prediction and comparison using IHACRES and GR4J lumped models in the Mono catchment, West Africa
description	<p>This study aims to assess simulated surface runoff before and after dam construction in the Mono catchment (West Africa) using two lumped models: GR4J (Rural Engineering with 4 Daily Parameters) and IHACRES (Identification of unit Hydrographs and Component flows from Rainfall, Evapotranspiration and Stream data) over two different periods (1964–1986 and 1988–2010). Daily rainfall, mean temperature, evapotranspiration and discharge in situ data were collected for the period 1964–2010. After the model's initialization, calibration and validation; performances analysis have been carried out using multi-objectives functions developed in R software (version 3.5.3). The results indicate that statistical metrics such as the coefficient of determination (<span class="inline-formula"><i>R</i><sup>2</sup></span>), the Kling–Gupta Efficiency (KGE), the Nash–Sutcliffe coefficient (NSE) and the Percent of Bias (PBIAS) provide satisfactory insights over the first period of simulation (1964–1986) and low performances over the second period of simulation (1988–2010). In particular, IHACRES model underestimates extreme high runoff of Mono catchment between 1964 and 1986. Conversely, GR4J model overestimates extreme high runoff and has been found to be better for runoff prediction of the river only between 1964 and 1986. Moreover, the study deduced that the robustness of runoff simulation between 1964 and 1986 is better than between 1988 and 2010. Therefore, the weakness of simulated runoff between 1988 and 2010 was certainly due to dam management in the catchment. The study suggests that land cover changes impacts, soil proprieties and climate may also affect surface runoff in the catchment.</p>
format	article
author	H. D. Koubodana H. D. Koubodana H. D. Koubodana K. Atchonouglo J. G. Adounkpe E. Amoussou E. Amoussou D. J. Kodja D. Koungbanane K. Y. Afoudji Y. Lombo K. E. Kpemoua
author_facet	H. D. Koubodana H. D. Koubodana H. D. Koubodana K. Atchonouglo J. G. Adounkpe E. Amoussou E. Amoussou D. J. Kodja D. Koungbanane K. Y. Afoudji Y. Lombo K. E. Kpemoua
author_sort	H. D. Koubodana
title	Surface runoff prediction and comparison using IHACRES and GR4J lumped models in the Mono catchment, West Africa
title_short	Surface runoff prediction and comparison using IHACRES and GR4J lumped models in the Mono catchment, West Africa
title_full	Surface runoff prediction and comparison using IHACRES and GR4J lumped models in the Mono catchment, West Africa
title_fullStr	Surface runoff prediction and comparison using IHACRES and GR4J lumped models in the Mono catchment, West Africa
title_full_unstemmed	Surface runoff prediction and comparison using IHACRES and GR4J lumped models in the Mono catchment, West Africa
title_sort	surface runoff prediction and comparison using ihacres and gr4j lumped models in the mono catchment, west africa
publisher	Copernicus Publications
publishDate	2021
url	https://doaj.org/article/f9581699c0184c9db746e3f78e9c0148
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Surface runoff prediction and comparison using IHACRES and GR4J lumped models in the Mono catchment, West Africa

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