Modelling water flow in a complex watershed in humid a tropical area using SWAT: a case study of Taabo watershed in Ivory Coast
Understanding the water balance of a basin is the most important aspect in water resources development and management programmes. The objective of this study was to implement an agro-hydrological model (SWAT) to model water flow transport within the river network with a perspective to reduce the sed...
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Veröffentlicht in: | International journal of river basin management 2018-04, Vol.16 (2), p.157-167 |
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description | Understanding the water balance of a basin is the most important aspect in water resources development and management programmes. The objective of this study was to implement an agro-hydrological model (SWAT) to model water flow transport within the river network with a perspective to reduce the sedimentation and eutrophication of lakes in Ivory Coast. The daily simulation of SWAT model carried out in the period from 1979 to 1990 has been divided into warm-up (1979-1981), calibration (1982-1986) and validation (1987-1990). For calibrating the model, a preliminary sensitivity and uncertainty analysis in the SUFI-2 algorithm was performed based on 19 hydrologic parameters. The model has given good results of performance and robustness. All statistical parameters (Nash-Sutcliffe coefficient (NS) and the coefficient of determination (R
2
)) used to achieve the model performance of above 0.7 for the calibration period and around 0.6 for the validation period. As for the uncertainty criteria (P-factor and R-factor), the observation data are very good in general because more than 80% are bracketed by the 95PPU both for calibration and validation periods. Graphically, the streamflow predictions match well with actual measurements. Water transfers between the soil, surface water, groundwater and atmosphere are largely conditioned by the uneven spatial distribution of pedology, land use and climate. |
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2
)) used to achieve the model performance of above 0.7 for the calibration period and around 0.6 for the validation period. As for the uncertainty criteria (P-factor and R-factor), the observation data are very good in general because more than 80% are bracketed by the 95PPU both for calibration and validation periods. Graphically, the streamflow predictions match well with actual measurements. Water transfers between the soil, surface water, groundwater and atmosphere are largely conditioned by the uneven spatial distribution of pedology, land use and climate.</description><identifier>ISSN: 1571-5124</identifier><identifier>EISSN: 1814-2060</identifier><identifier>DOI: 10.1080/15715124.2017.1387122</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis</publisher><subject>Algorithms ; Calibration ; Climate and land use ; Eutrophication ; Geography ; Groundwater ; Humanities and Social Sciences ; Humid areas ; Hydrologic models ; Ivory Coast ; Lakes ; Land use ; Modelling ; Parameters ; Pedology ; River networks ; Soil water ; Spatial distribution ; Stream discharge ; Stream flow ; SUFI-2 ; Surface water ; Surface-groundwater relations ; SWAT model ; SWAT-CUP ; Taabo watershed ; Uncertainty ; Uncertainty analysis ; Water balance ; Water flow ; Water resources ; Water resources development ; Watersheds</subject><ispartof>International journal of river basin management, 2018-04, Vol.16 (2), p.157-167</ispartof><rights>2017 International Association for Hydro-Environment Engineering and Research 2017</rights><rights>2017 International Association for Hydro-Environment Engineering and Research</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c422t-143fbe9dee717d8ea819d3e0e3ea9cac65c4732c469aea8e3d5b05fc7131394f3</citedby><cites>FETCH-LOGICAL-c422t-143fbe9dee717d8ea819d3e0e3ea9cac65c4732c469aea8e3d5b05fc7131394f3</cites><orcidid>0000-0002-3833-2022</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/15715124.2017.1387122$$EPDF$$P50$$Ginformaworld$$H</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/15715124.2017.1387122$$EHTML$$P50$$Ginformaworld$$H</linktohtml><link.rule.ids>230,315,781,785,886,27929,27930,59652,60441</link.rule.ids><backlink>$$Uhttps://shs.hal.science/halshs-02113876$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Anoh, Kouao Armand</creatorcontrib><creatorcontrib>Koua, Tanoh Jean Jacques</creatorcontrib><creatorcontrib>Kouamé, Kan Jean</creatorcontrib><creatorcontrib>Jourda, Jean Patrice</creatorcontrib><creatorcontrib>Laurent, François</creatorcontrib><title>Modelling water flow in a complex watershed in humid a tropical area using SWAT: a case study of Taabo watershed in Ivory Coast</title><title>International journal of river basin management</title><description>Understanding the water balance of a basin is the most important aspect in water resources development and management programmes. The objective of this study was to implement an agro-hydrological model (SWAT) to model water flow transport within the river network with a perspective to reduce the sedimentation and eutrophication of lakes in Ivory Coast. The daily simulation of SWAT model carried out in the period from 1979 to 1990 has been divided into warm-up (1979-1981), calibration (1982-1986) and validation (1987-1990). For calibrating the model, a preliminary sensitivity and uncertainty analysis in the SUFI-2 algorithm was performed based on 19 hydrologic parameters. The model has given good results of performance and robustness. All statistical parameters (Nash-Sutcliffe coefficient (NS) and the coefficient of determination (R
2
)) used to achieve the model performance of above 0.7 for the calibration period and around 0.6 for the validation period. As for the uncertainty criteria (P-factor and R-factor), the observation data are very good in general because more than 80% are bracketed by the 95PPU both for calibration and validation periods. Graphically, the streamflow predictions match well with actual measurements. Water transfers between the soil, surface water, groundwater and atmosphere are largely conditioned by the uneven spatial distribution of pedology, land use and climate.</description><subject>Algorithms</subject><subject>Calibration</subject><subject>Climate and land use</subject><subject>Eutrophication</subject><subject>Geography</subject><subject>Groundwater</subject><subject>Humanities and Social Sciences</subject><subject>Humid areas</subject><subject>Hydrologic models</subject><subject>Ivory Coast</subject><subject>Lakes</subject><subject>Land use</subject><subject>Modelling</subject><subject>Parameters</subject><subject>Pedology</subject><subject>River networks</subject><subject>Soil water</subject><subject>Spatial distribution</subject><subject>Stream discharge</subject><subject>Stream flow</subject><subject>SUFI-2</subject><subject>Surface water</subject><subject>Surface-groundwater relations</subject><subject>SWAT model</subject><subject>SWAT-CUP</subject><subject>Taabo watershed</subject><subject>Uncertainty</subject><subject>Uncertainty analysis</subject><subject>Water balance</subject><subject>Water flow</subject><subject>Water resources</subject><subject>Water resources development</subject><subject>Watersheds</subject><issn>1571-5124</issn><issn>1814-2060</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kUtv2zAQhIWiAZom-QkFCPRaOVxS1KOnGEZegIMe6iJHYs1HrYAWXVKK41P_eqgoKdBLTruY_WYOO1n2BegMaE3PQVQggBUzRqGaAa8rYOxDdgw1FDmjJf2Y9sTkI_Qp-xzjA6WiFAU9zv7eeW2ca7vfZI-9CcQ6vydtR5Aov9058zTpcWP0KG-GbavTsQ9-1yp0BINBMsQx4Of9fPV9NGI0JPaDPhBvyQpx7f8PuX304UAWHmN_mh1ZdNGcvc6T7NfV5Wpxky9_XN8u5stcFYz1ORTcrk2jjamg0rXBGhrNDTXcYKNQlUIVFWeqKBtMR8O1WFNhVQUceFNYfpJ9m3I36OQutFsMB-mxlTfzpUxa3ERJGYzPKx8h4V8nfBf8n8HEXj74IXSJk-OTG5FIligxUSr4GIOx_5KByrEa-VbNi0u-VpN8F5Ov7awPW9z74LTs8eB8sAE71UbJ3494Bs7BlSk</recordid><startdate>20180403</startdate><enddate>20180403</enddate><creator>Anoh, Kouao Armand</creator><creator>Koua, Tanoh Jean Jacques</creator><creator>Kouamé, Kan Jean</creator><creator>Jourda, Jean Patrice</creator><creator>Laurent, François</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>H97</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>1XC</scope><scope>BXJBU</scope><orcidid>https://orcid.org/0000-0002-3833-2022</orcidid></search><sort><creationdate>20180403</creationdate><title>Modelling water flow in a complex watershed in humid a tropical area using SWAT: a case study of Taabo watershed in Ivory Coast</title><author>Anoh, Kouao Armand ; Koua, Tanoh Jean Jacques ; Kouamé, Kan Jean ; Jourda, Jean Patrice ; Laurent, François</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c422t-143fbe9dee717d8ea819d3e0e3ea9cac65c4732c469aea8e3d5b05fc7131394f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Algorithms</topic><topic>Calibration</topic><topic>Climate and land use</topic><topic>Eutrophication</topic><topic>Geography</topic><topic>Groundwater</topic><topic>Humanities and Social Sciences</topic><topic>Humid areas</topic><topic>Hydrologic models</topic><topic>Ivory Coast</topic><topic>Lakes</topic><topic>Land use</topic><topic>Modelling</topic><topic>Parameters</topic><topic>Pedology</topic><topic>River networks</topic><topic>Soil water</topic><topic>Spatial distribution</topic><topic>Stream discharge</topic><topic>Stream flow</topic><topic>SUFI-2</topic><topic>Surface water</topic><topic>Surface-groundwater relations</topic><topic>SWAT model</topic><topic>SWAT-CUP</topic><topic>Taabo watershed</topic><topic>Uncertainty</topic><topic>Uncertainty analysis</topic><topic>Water balance</topic><topic>Water flow</topic><topic>Water resources</topic><topic>Water resources development</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Anoh, Kouao Armand</creatorcontrib><creatorcontrib>Koua, Tanoh Jean Jacques</creatorcontrib><creatorcontrib>Kouamé, Kan Jean</creatorcontrib><creatorcontrib>Jourda, Jean Patrice</creatorcontrib><creatorcontrib>Laurent, François</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>HAL-SHS: Archive ouverte en Sciences de l'Homme et de la Société</collection><jtitle>International journal of river basin management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anoh, Kouao Armand</au><au>Koua, Tanoh Jean Jacques</au><au>Kouamé, Kan Jean</au><au>Jourda, Jean Patrice</au><au>Laurent, François</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling water flow in a complex watershed in humid a tropical area using SWAT: a case study of Taabo watershed in Ivory Coast</atitle><jtitle>International journal of river basin management</jtitle><date>2018-04-03</date><risdate>2018</risdate><volume>16</volume><issue>2</issue><spage>157</spage><epage>167</epage><pages>157-167</pages><issn>1571-5124</issn><eissn>1814-2060</eissn><abstract>Understanding the water balance of a basin is the most important aspect in water resources development and management programmes. The objective of this study was to implement an agro-hydrological model (SWAT) to model water flow transport within the river network with a perspective to reduce the sedimentation and eutrophication of lakes in Ivory Coast. The daily simulation of SWAT model carried out in the period from 1979 to 1990 has been divided into warm-up (1979-1981), calibration (1982-1986) and validation (1987-1990). For calibrating the model, a preliminary sensitivity and uncertainty analysis in the SUFI-2 algorithm was performed based on 19 hydrologic parameters. The model has given good results of performance and robustness. All statistical parameters (Nash-Sutcliffe coefficient (NS) and the coefficient of determination (R
2
)) used to achieve the model performance of above 0.7 for the calibration period and around 0.6 for the validation period. As for the uncertainty criteria (P-factor and R-factor), the observation data are very good in general because more than 80% are bracketed by the 95PPU both for calibration and validation periods. Graphically, the streamflow predictions match well with actual measurements. Water transfers between the soil, surface water, groundwater and atmosphere are largely conditioned by the uneven spatial distribution of pedology, land use and climate.</abstract><cop>Abingdon</cop><pub>Taylor & Francis</pub><doi>10.1080/15715124.2017.1387122</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-3833-2022</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Calibration Climate and land use Eutrophication Geography Groundwater Humanities and Social Sciences Humid areas Hydrologic models Ivory Coast Lakes Land use Modelling Parameters Pedology River networks Soil water Spatial distribution Stream discharge Stream flow SUFI-2 Surface water Surface-groundwater relations SWAT model SWAT-CUP Taabo watershed Uncertainty Uncertainty analysis Water balance Water flow Water resources Water resources development Watersheds |
title | Modelling water flow in a complex watershed in humid a tropical area using SWAT: a case study of Taabo watershed in Ivory Coast |
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