Analysis of hydrological dynamics and hydropower generation in a West African anthropized watershed in a context of climate change
This study was conducted in the Bandama watershed (BW) in Côte d’Ivoire (West Africa). The objective is to analyze hydrological dynamics and hydropower generation in BW in a context of climate change. The methodology is based on the Inverse Distance Weighted (IDW) used to interpolate rainfall and on...
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description | This study was conducted in the Bandama watershed (BW) in Côte d’Ivoire (West Africa). The objective is to analyze hydrological dynamics and hydropower generation in BW in a context of climate change. The methodology is based on the Inverse Distance Weighted (IDW) used to interpolate rainfall and on statistical tests (Normality, Buishand, Pettitt and Hubert) applied on hydrometeorological and hydrometric data to analyze the hydrological functioning of BW. Hydropower generation at Kossou dam was analyzed with Pearson Chi square independence method according to Representative Concentration Pathways (RCP) 4.5 and 8.5 scenarios of CMIP5 (coupled model intercomparison project phase 5) and CORDEX-AFRICA (coordinated regional climate downscaling experiment). The results showed the variability of rainfall as well monthly, seasonal as annual from 1980 to 2013; the hydroclimatic variability in the basin characterized by the presence of breaks in stationarity in 1998 and 2008, and the variability of flow. The Buishand and Pettitt tests described these two ruptures. The segmentation of Hubert specified three sub-periods. The results also showed that there is an alternation of wet and dry periods followed by a slight resumption. The climate projection scenarios RCP 4.5 and 8.5 have shown that the change in the variability of rainfall and flow in the BW will have a negative impact on hydropower generation at Kossou from 2030 to 2050. |
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The objective is to analyze hydrological dynamics and hydropower generation in BW in a context of climate change. The methodology is based on the Inverse Distance Weighted (IDW) used to interpolate rainfall and on statistical tests (Normality, Buishand, Pettitt and Hubert) applied on hydrometeorological and hydrometric data to analyze the hydrological functioning of BW. Hydropower generation at Kossou dam was analyzed with Pearson Chi square independence method according to Representative Concentration Pathways (RCP) 4.5 and 8.5 scenarios of CMIP5 (coupled model intercomparison project phase 5) and CORDEX-AFRICA (coordinated regional climate downscaling experiment). The results showed the variability of rainfall as well monthly, seasonal as annual from 1980 to 2013; the hydroclimatic variability in the basin characterized by the presence of breaks in stationarity in 1998 and 2008, and the variability of flow. The Buishand and Pettitt tests described these two ruptures. The segmentation of Hubert specified three sub-periods. The results also showed that there is an alternation of wet and dry periods followed by a slight resumption. The climate projection scenarios RCP 4.5 and 8.5 have shown that the change in the variability of rainfall and flow in the BW will have a negative impact on hydropower generation at Kossou from 2030 to 2050.</description><identifier>ISSN: 2363-6203</identifier><identifier>EISSN: 2363-6211</identifier><identifier>DOI: 10.1007/s40808-020-00836-4</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Chemistry and Earth Sciences ; Climate change ; Climate models ; Computer Science ; Context ; Dynamics ; Earth and Environmental Science ; Earth Sciences ; Earth System Sciences ; Ecosystems ; Environment ; Hydroelectric power ; Hydroelectric power generation ; Hydrology ; Hydrometeorology ; Intercomparison ; Math. 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Earth Syst. Environ</addtitle><description>This study was conducted in the Bandama watershed (BW) in Côte d’Ivoire (West Africa). The objective is to analyze hydrological dynamics and hydropower generation in BW in a context of climate change. The methodology is based on the Inverse Distance Weighted (IDW) used to interpolate rainfall and on statistical tests (Normality, Buishand, Pettitt and Hubert) applied on hydrometeorological and hydrometric data to analyze the hydrological functioning of BW. Hydropower generation at Kossou dam was analyzed with Pearson Chi square independence method according to Representative Concentration Pathways (RCP) 4.5 and 8.5 scenarios of CMIP5 (coupled model intercomparison project phase 5) and CORDEX-AFRICA (coordinated regional climate downscaling experiment). The results showed the variability of rainfall as well monthly, seasonal as annual from 1980 to 2013; the hydroclimatic variability in the basin characterized by the presence of breaks in stationarity in 1998 and 2008, and the variability of flow. The Buishand and Pettitt tests described these two ruptures. The segmentation of Hubert specified three sub-periods. The results also showed that there is an alternation of wet and dry periods followed by a slight resumption. The climate projection scenarios RCP 4.5 and 8.5 have shown that the change in the variability of rainfall and flow in the BW will have a negative impact on hydropower generation at Kossou from 2030 to 2050.</description><subject>Chemistry and Earth Sciences</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Computer Science</subject><subject>Context</subject><subject>Dynamics</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earth System Sciences</subject><subject>Ecosystems</subject><subject>Environment</subject><subject>Hydroelectric power</subject><subject>Hydroelectric power generation</subject><subject>Hydrology</subject><subject>Hydrometeorology</subject><subject>Intercomparison</subject><subject>Math. Appl. in Environmental Science</subject><subject>Mathematical Applications in the Physical Sciences</subject><subject>Normality</subject><subject>Original Article</subject><subject>Physics</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Segmentation</subject><subject>Statistical analysis</subject><subject>Statistical tests</subject><subject>Statistics for Engineering</subject><subject>Variability</subject><subject>Watersheds</subject><issn>2363-6203</issn><issn>2363-6211</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kE1LAzEQhoMoWKp_wFPA8-rko9nkWIpfUPCieAxpNttu2SY12VLXo7_ctCt685QJ874z8z4IXRG4IQDlbeIgQRZAoQCQTBT8BI0oE6wQlJDT3xrYObpMaQ0ARFAhlBqhr6k3bZ-ahEONV30VQxuWjTUtrnpvNo1N2Phq6GzD3kW8dN5F0zXB48Zjg99c6vC0jtmUv75bZWHz6Sq8N52LaZWro84G37mP7rDHts0mN7FdGb90F-isNm1ylz_vGL3e373MHov588PTbDovLCOqK0qnLBHM1AtwVIB0pVlUkBMKyydVvZClIkRwJwgFQZwVhiupxIENlbK0bIyuh7nbGN53-Wq9DruY4ydNOSdiQidUZRUdVDaGlKKr9Tbma2OvCegDbj3g1hm3PuLWPJvYYEpZnCPFv9H_uL4BQviDhA</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Kouadio, Koffi Claude Alain</creator><creator>Amoussou, Ernest</creator><creator>Coulibaly, Talnan Jean Honoré</creator><creator>Diedhiou, Arona</creator><creator>Coulibaly, Houebagnon Saint Jean-Patrick</creator><creator>Didi, Regis</creator><creator>Savané, Issiaka</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>7UA</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><orcidid>https://orcid.org/0000-0001-5066-6271</orcidid></search><sort><creationdate>20201201</creationdate><title>Analysis of hydrological dynamics and hydropower generation in a West African anthropized watershed in a context of climate change</title><author>Kouadio, Koffi Claude Alain ; Amoussou, Ernest ; Coulibaly, Talnan Jean Honoré ; Diedhiou, Arona ; Coulibaly, Houebagnon Saint Jean-Patrick ; Didi, Regis ; Savané, Issiaka</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-7e9c163afb0e2608e7abd06216c45dfb8791164e612061ec6a4989640802887c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Chemistry and Earth Sciences</topic><topic>Climate change</topic><topic>Climate models</topic><topic>Computer Science</topic><topic>Context</topic><topic>Dynamics</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earth System Sciences</topic><topic>Ecosystems</topic><topic>Environment</topic><topic>Hydroelectric power</topic><topic>Hydroelectric power generation</topic><topic>Hydrology</topic><topic>Hydrometeorology</topic><topic>Intercomparison</topic><topic>Math. Appl. in Environmental Science</topic><topic>Mathematical Applications in the Physical Sciences</topic><topic>Normality</topic><topic>Original Article</topic><topic>Physics</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Segmentation</topic><topic>Statistical analysis</topic><topic>Statistical tests</topic><topic>Statistics for Engineering</topic><topic>Variability</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kouadio, Koffi Claude Alain</creatorcontrib><creatorcontrib>Amoussou, Ernest</creatorcontrib><creatorcontrib>Coulibaly, Talnan Jean Honoré</creatorcontrib><creatorcontrib>Diedhiou, Arona</creatorcontrib><creatorcontrib>Coulibaly, Houebagnon Saint Jean-Patrick</creatorcontrib><creatorcontrib>Didi, Regis</creatorcontrib><creatorcontrib>Savané, Issiaka</creatorcontrib><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>Modeling earth systems and environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kouadio, Koffi Claude Alain</au><au>Amoussou, Ernest</au><au>Coulibaly, Talnan Jean Honoré</au><au>Diedhiou, Arona</au><au>Coulibaly, Houebagnon Saint Jean-Patrick</au><au>Didi, Regis</au><au>Savané, Issiaka</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of hydrological dynamics and hydropower generation in a West African anthropized watershed in a context of climate change</atitle><jtitle>Modeling earth systems and environment</jtitle><stitle>Model. Earth Syst. Environ</stitle><date>2020-12-01</date><risdate>2020</risdate><volume>6</volume><issue>4</issue><spage>2197</spage><epage>2214</epage><pages>2197-2214</pages><issn>2363-6203</issn><eissn>2363-6211</eissn><abstract>This study was conducted in the Bandama watershed (BW) in Côte d’Ivoire (West Africa). The objective is to analyze hydrological dynamics and hydropower generation in BW in a context of climate change. The methodology is based on the Inverse Distance Weighted (IDW) used to interpolate rainfall and on statistical tests (Normality, Buishand, Pettitt and Hubert) applied on hydrometeorological and hydrometric data to analyze the hydrological functioning of BW. Hydropower generation at Kossou dam was analyzed with Pearson Chi square independence method according to Representative Concentration Pathways (RCP) 4.5 and 8.5 scenarios of CMIP5 (coupled model intercomparison project phase 5) and CORDEX-AFRICA (coordinated regional climate downscaling experiment). The results showed the variability of rainfall as well monthly, seasonal as annual from 1980 to 2013; the hydroclimatic variability in the basin characterized by the presence of breaks in stationarity in 1998 and 2008, and the variability of flow. The Buishand and Pettitt tests described these two ruptures. The segmentation of Hubert specified three sub-periods. The results also showed that there is an alternation of wet and dry periods followed by a slight resumption. The climate projection scenarios RCP 4.5 and 8.5 have shown that the change in the variability of rainfall and flow in the BW will have a negative impact on hydropower generation at Kossou from 2030 to 2050.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s40808-020-00836-4</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0001-5066-6271</orcidid></addata></record> |
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subjects | Chemistry and Earth Sciences Climate change Climate models Computer Science Context Dynamics Earth and Environmental Science Earth Sciences Earth System Sciences Ecosystems Environment Hydroelectric power Hydroelectric power generation Hydrology Hydrometeorology Intercomparison Math. Appl. in Environmental Science Mathematical Applications in the Physical Sciences Normality Original Article Physics Rain Rainfall Segmentation Statistical analysis Statistical tests Statistics for Engineering Variability Watersheds |
title | Analysis of hydrological dynamics and hydropower generation in a West African anthropized watershed in a context of climate change |
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