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Investigation of groundwater resources in highland Ethiopia using a geospatial technology
Because of the rapid growth of human population combined with a decline in quality and quantity of surface water, the demand for groundwater has been rapidly increasing in Ethiopia. It is also highly anticipated that climate change-induced variations in hydrometeorological parameters will make groun...
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Published in: | Modeling earth systems and environment 2019-12, Vol.5 (4), p.1333-1345 |
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description | Because of the rapid growth of human population combined with a decline in quality and quantity of surface water, the demand for groundwater has been rapidly increasing in Ethiopia. It is also highly anticipated that climate change-induced variations in hydrometeorological parameters will make groundwater more indispensable and scare resource in Ethiopia at some point. It is, therefore, essential to well understand the characteristics and potential areas of groundwater for proper management and use. In this study, an attempt has been made to identify groundwater potential zones in the Rib watershed, north-western highland Ethiopia. The thematic layers of the main factors that control the occurrence and movement of groundwater in hard rock regions were ranked, weighted and aggregated in a linear combination equation in ArcGIS Raster Calculator to generate the groundwater potential zone map. The generated map was then classified into five categories which represent very poor to very good groundwater potential zones. It was found that the downstream areas comprising gentle slope, alluvial deposits, and floodplains have very good groundwater potential zone which cover approximately 294 km
2
(14.87% of the watershed). The upstream areas in the eastern and south-eastern parts of the watershed fall into low (either poor or very poor) groundwater potential zone due to high runoff and low infiltration. The generated groundwater potential zone map was finally validated using borehole points, which showed a good correlation. The results of this study will be helpful for better planning and management of local groundwater resources. |
doi_str_mv | 10.1007/s40808-019-00603-0 |
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2
(14.87% of the watershed). The upstream areas in the eastern and south-eastern parts of the watershed fall into low (either poor or very poor) groundwater potential zone due to high runoff and low infiltration. The generated groundwater potential zone map was finally validated using borehole points, which showed a good correlation. The results of this study will be helpful for better planning and management of local groundwater resources.</description><identifier>ISSN: 2363-6203</identifier><identifier>EISSN: 2363-6211</identifier><identifier>DOI: 10.1007/s40808-019-00603-0</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Alluvial deposits ; Alluvium ; Boreholes ; Calculators ; Chemistry and Earth Sciences ; Climate change ; Computer Science ; Correlation analysis ; Earth and Environmental Science ; Earth Sciences ; Earth System Sciences ; Ecosystems ; Environment ; Floodplains ; Groundwater ; Groundwater flow ; Groundwater potential ; Groundwater runoff ; Human populations ; Hydrometeorology ; Math. Appl. in Environmental Science ; Mathematical analysis ; Mathematical Applications in the Physical Sciences ; Original Article ; Physics ; Population decline ; Resource management ; Resources ; Runoff ; Statistics for Engineering ; Surface water ; Water resources ; Watersheds</subject><ispartof>Modeling earth systems and environment, 2019-12, Vol.5 (4), p.1333-1345</ispartof><rights>Springer Nature Switzerland AG 2019</rights><rights>Modeling Earth Systems and Environment is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-9fdce06f69c7de996dfd11e7ad7ebf9b930d39285c2ec1d9aec24d5b940b68c53</citedby><cites>FETCH-LOGICAL-c319t-9fdce06f69c7de996dfd11e7ad7ebf9b930d39285c2ec1d9aec24d5b940b68c53</cites><orcidid>0000-0002-9723-924X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Moges, Desalew Meseret</creatorcontrib><creatorcontrib>Bhat, H. Gangadhara</creatorcontrib><creatorcontrib>Thrivikramji, K. P.</creatorcontrib><title>Investigation of groundwater resources in highland Ethiopia using a geospatial technology</title><title>Modeling earth systems and environment</title><addtitle>Model. Earth Syst. Environ</addtitle><description>Because of the rapid growth of human population combined with a decline in quality and quantity of surface water, the demand for groundwater has been rapidly increasing in Ethiopia. It is also highly anticipated that climate change-induced variations in hydrometeorological parameters will make groundwater more indispensable and scare resource in Ethiopia at some point. It is, therefore, essential to well understand the characteristics and potential areas of groundwater for proper management and use. In this study, an attempt has been made to identify groundwater potential zones in the Rib watershed, north-western highland Ethiopia. The thematic layers of the main factors that control the occurrence and movement of groundwater in hard rock regions were ranked, weighted and aggregated in a linear combination equation in ArcGIS Raster Calculator to generate the groundwater potential zone map. The generated map was then classified into five categories which represent very poor to very good groundwater potential zones. It was found that the downstream areas comprising gentle slope, alluvial deposits, and floodplains have very good groundwater potential zone which cover approximately 294 km
2
(14.87% of the watershed). The upstream areas in the eastern and south-eastern parts of the watershed fall into low (either poor or very poor) groundwater potential zone due to high runoff and low infiltration. The generated groundwater potential zone map was finally validated using borehole points, which showed a good correlation. The results of this study will be helpful for better planning and management of local groundwater resources.</description><subject>Alluvial deposits</subject><subject>Alluvium</subject><subject>Boreholes</subject><subject>Calculators</subject><subject>Chemistry and Earth Sciences</subject><subject>Climate change</subject><subject>Computer Science</subject><subject>Correlation analysis</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earth System Sciences</subject><subject>Ecosystems</subject><subject>Environment</subject><subject>Floodplains</subject><subject>Groundwater</subject><subject>Groundwater flow</subject><subject>Groundwater potential</subject><subject>Groundwater runoff</subject><subject>Human populations</subject><subject>Hydrometeorology</subject><subject>Math. Appl. in Environmental Science</subject><subject>Mathematical analysis</subject><subject>Mathematical Applications in the Physical Sciences</subject><subject>Original Article</subject><subject>Physics</subject><subject>Population decline</subject><subject>Resource management</subject><subject>Resources</subject><subject>Runoff</subject><subject>Statistics for Engineering</subject><subject>Surface water</subject><subject>Water resources</subject><subject>Watersheds</subject><issn>2363-6203</issn><issn>2363-6211</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kDFPwzAQhS0EElXpH2CyxBw4260Tj6gqUKkSCwxMlmM7iatgBzsB9d-TNgg2prvhvXf3PoSuCdwSgPwuLaGAIgMiMgAOLIMzNKOMs4xTQs5_d2CXaJHSHgAIp5wLMUNvW_9pU-9q1bvgcahwHcPgzZfqbcTRpjBEbRN2HjeublrlDd70jQudU3hIztdY4dqG1I0BqsW91Y0PbagPV-iiUm2yi585R68Pm5f1U7Z7ftyu73eZZkT0maiMtsArLnRurBDcVIYQmyuT27ISpWBgmKDFSlOriRHKaro0q1IsoeSFXrE5uplyuxg-hrGL3I8_-_GkpAx4LoCOTOaITiodQ0rRVrKL7l3FgyQgjxTlRFGOFOWJojya2GRKo9jXNv5F_-P6Bsh8dvQ</recordid><startdate>20191201</startdate><enddate>20191201</enddate><creator>Moges, Desalew Meseret</creator><creator>Bhat, H. 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P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-9fdce06f69c7de996dfd11e7ad7ebf9b930d39285c2ec1d9aec24d5b940b68c53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Alluvial deposits</topic><topic>Alluvium</topic><topic>Boreholes</topic><topic>Calculators</topic><topic>Chemistry and Earth Sciences</topic><topic>Climate change</topic><topic>Computer Science</topic><topic>Correlation analysis</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earth System Sciences</topic><topic>Ecosystems</topic><topic>Environment</topic><topic>Floodplains</topic><topic>Groundwater</topic><topic>Groundwater flow</topic><topic>Groundwater potential</topic><topic>Groundwater runoff</topic><topic>Human populations</topic><topic>Hydrometeorology</topic><topic>Math. Appl. in Environmental Science</topic><topic>Mathematical analysis</topic><topic>Mathematical Applications in the Physical Sciences</topic><topic>Original Article</topic><topic>Physics</topic><topic>Population decline</topic><topic>Resource management</topic><topic>Resources</topic><topic>Runoff</topic><topic>Statistics for Engineering</topic><topic>Surface water</topic><topic>Water resources</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moges, Desalew Meseret</creatorcontrib><creatorcontrib>Bhat, H. Gangadhara</creatorcontrib><creatorcontrib>Thrivikramji, K. 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Gangadhara</au><au>Thrivikramji, K. P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Investigation of groundwater resources in highland Ethiopia using a geospatial technology</atitle><jtitle>Modeling earth systems and environment</jtitle><stitle>Model. Earth Syst. Environ</stitle><date>2019-12-01</date><risdate>2019</risdate><volume>5</volume><issue>4</issue><spage>1333</spage><epage>1345</epage><pages>1333-1345</pages><issn>2363-6203</issn><eissn>2363-6211</eissn><abstract>Because of the rapid growth of human population combined with a decline in quality and quantity of surface water, the demand for groundwater has been rapidly increasing in Ethiopia. It is also highly anticipated that climate change-induced variations in hydrometeorological parameters will make groundwater more indispensable and scare resource in Ethiopia at some point. It is, therefore, essential to well understand the characteristics and potential areas of groundwater for proper management and use. In this study, an attempt has been made to identify groundwater potential zones in the Rib watershed, north-western highland Ethiopia. The thematic layers of the main factors that control the occurrence and movement of groundwater in hard rock regions were ranked, weighted and aggregated in a linear combination equation in ArcGIS Raster Calculator to generate the groundwater potential zone map. The generated map was then classified into five categories which represent very poor to very good groundwater potential zones. It was found that the downstream areas comprising gentle slope, alluvial deposits, and floodplains have very good groundwater potential zone which cover approximately 294 km
2
(14.87% of the watershed). The upstream areas in the eastern and south-eastern parts of the watershed fall into low (either poor or very poor) groundwater potential zone due to high runoff and low infiltration. The generated groundwater potential zone map was finally validated using borehole points, which showed a good correlation. The results of this study will be helpful for better planning and management of local groundwater resources.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s40808-019-00603-0</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-9723-924X</orcidid></addata></record> |
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subjects | Alluvial deposits Alluvium Boreholes Calculators Chemistry and Earth Sciences Climate change Computer Science Correlation analysis Earth and Environmental Science Earth Sciences Earth System Sciences Ecosystems Environment Floodplains Groundwater Groundwater flow Groundwater potential Groundwater runoff Human populations Hydrometeorology Math. Appl. in Environmental Science Mathematical analysis Mathematical Applications in the Physical Sciences Original Article Physics Population decline Resource management Resources Runoff Statistics for Engineering Surface water Water resources Watersheds |
title | Investigation of groundwater resources in highland Ethiopia using a geospatial technology |
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