Groundwater potential mapping and mineralization assessment in Campo aquifers, Cameroon using AHP and multivariate statistical analysis
Improving the living conditions of campo residents requires access to drinking water. The surface and subsurface factors of a region influence the groundwater potential zones. The main objectives of this paper are to identify suitable groundwater zones for productive drilling and to assess groundwat...
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| Veröffentlicht in: | Environment, development and sustainability development and sustainability, 2024-06, Vol.26 (6), p.16095-16127 |
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| creator | Njifen, Serges Raoul Kouamou Nyam, Francoise Martine Enyegue A. Fossi, Donald Hermann Bikoro, Marcelin Bi-Alou Tchikangoua, Anita Ngouokouo Tabod, Charles Tabod |
| description | Improving the living conditions of campo residents requires access to drinking water. The surface and subsurface factors of a region influence the groundwater potential zones. The main objectives of this paper are to identify suitable groundwater zones for productive drilling and to assess groundwater mineralization in the coastal aquifers of the study area. Geographic Information Systems (GIS) and Analytical Hierarchy Process (AHP) were used in the methodology to generate the groundwater potential map. Lithology, geomorphology, specific capacity, hydraulic conductivity, transmissivity, rainfall, infiltration rate, lineament density, drawdown, static water level, soil thickness, drainage density, slope, and land use/land cover were taken into account to characterize the groundwater potential zones. Weights were assigned to the various parameters and their characteristics according to their impact on groundwater recharge. The groundwater potential map of Campo was classified into four zones namely: very low 783.5 km
2
(28.9%), low 835.2 km
2
(31.9%), moderate 858.4 km
2
(31.7%) and high 199.9 km
2
(7.3%). Multivariate statistical analysis was used to understand groundwater mineralization. Two phenomena are responsible for the mineralization of water: a process of interaction between water and rock; and a process of salinization resulting from natural phenomena or anthropic activities. The present study could guide hydrogeological investigations and groundwater resource management planning in the study area. |
| doi_str_mv | 10.1007/s10668-023-03289-8 |
| format | Article |
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2
(28.9%), low 835.2 km
2
(31.9%), moderate 858.4 km
2
(31.7%) and high 199.9 km
2
(7.3%). Multivariate statistical analysis was used to understand groundwater mineralization. Two phenomena are responsible for the mineralization of water: a process of interaction between water and rock; and a process of salinization resulting from natural phenomena or anthropic activities. The present study could guide hydrogeological investigations and groundwater resource management planning in the study area.</description><identifier>ISSN: 1573-2975</identifier><identifier>ISSN: 1387-585X</identifier><identifier>EISSN: 1573-2975</identifier><identifier>DOI: 10.1007/s10668-023-03289-8</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Analytic hierarchy process ; Aquifers ; Coastal aquifers ; Density ; Drainage density ; Drawdown ; Drilling ; Drinking water ; Earth and Environmental Science ; Ecology ; Economic Geology ; Economic Growth ; Environment ; Environmental Economics ; Environmental Management ; Geographic information systems ; Geology ; Geomorphology ; Groundwater ; Groundwater management ; Groundwater potential ; Groundwater recharge ; Hydrogeology ; Infiltration rate ; Information systems ; Land cover ; Land use ; Lithology ; Living conditions ; Management planning ; Mapping ; Mineralization ; Multivariate analysis ; Multivariate statistical analysis ; Rainfall ; Remote sensing ; Resource management ; Soil water ; Specific capacity ; Statistical analysis ; Statistics ; Sustainable Development ; Transmissivity ; Water levels ; Water resources</subject><ispartof>Environment, development and sustainability, 2024-06, Vol.26 (6), p.16095-16127</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1858-332122651408d9d37b46969b0b750ea41e6e8a4da94cdf0ceb8d25d7b8d1a0423</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10668-023-03289-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10668-023-03289-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Njifen, Serges Raoul Kouamou</creatorcontrib><creatorcontrib>Nyam, Francoise Martine Enyegue A.</creatorcontrib><creatorcontrib>Fossi, Donald Hermann</creatorcontrib><creatorcontrib>Bikoro, Marcelin Bi-Alou</creatorcontrib><creatorcontrib>Tchikangoua, Anita Ngouokouo</creatorcontrib><creatorcontrib>Tabod, Charles Tabod</creatorcontrib><title>Groundwater potential mapping and mineralization assessment in Campo aquifers, Cameroon using AHP and multivariate statistical analysis</title><title>Environment, development and sustainability</title><addtitle>Environ Dev Sustain</addtitle><description>Improving the living conditions of campo residents requires access to drinking water. The surface and subsurface factors of a region influence the groundwater potential zones. The main objectives of this paper are to identify suitable groundwater zones for productive drilling and to assess groundwater mineralization in the coastal aquifers of the study area. Geographic Information Systems (GIS) and Analytical Hierarchy Process (AHP) were used in the methodology to generate the groundwater potential map. Lithology, geomorphology, specific capacity, hydraulic conductivity, transmissivity, rainfall, infiltration rate, lineament density, drawdown, static water level, soil thickness, drainage density, slope, and land use/land cover were taken into account to characterize the groundwater potential zones. Weights were assigned to the various parameters and their characteristics according to their impact on groundwater recharge. The groundwater potential map of Campo was classified into four zones namely: very low 783.5 km
2
(28.9%), low 835.2 km
2
(31.9%), moderate 858.4 km
2
(31.7%) and high 199.9 km
2
(7.3%). Multivariate statistical analysis was used to understand groundwater mineralization. Two phenomena are responsible for the mineralization of water: a process of interaction between water and rock; and a process of salinization resulting from natural phenomena or anthropic activities. The present study could guide hydrogeological investigations and groundwater resource management planning in the study area.</description><subject>Analytic hierarchy process</subject><subject>Aquifers</subject><subject>Coastal aquifers</subject><subject>Density</subject><subject>Drainage density</subject><subject>Drawdown</subject><subject>Drilling</subject><subject>Drinking water</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Economic Geology</subject><subject>Economic Growth</subject><subject>Environment</subject><subject>Environmental Economics</subject><subject>Environmental Management</subject><subject>Geographic information systems</subject><subject>Geology</subject><subject>Geomorphology</subject><subject>Groundwater</subject><subject>Groundwater management</subject><subject>Groundwater potential</subject><subject>Groundwater recharge</subject><subject>Hydrogeology</subject><subject>Infiltration rate</subject><subject>Information systems</subject><subject>Land cover</subject><subject>Land use</subject><subject>Lithology</subject><subject>Living conditions</subject><subject>Management planning</subject><subject>Mapping</subject><subject>Mineralization</subject><subject>Multivariate analysis</subject><subject>Multivariate statistical analysis</subject><subject>Rainfall</subject><subject>Remote sensing</subject><subject>Resource management</subject><subject>Soil water</subject><subject>Specific capacity</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>Sustainable Development</subject><subject>Transmissivity</subject><subject>Water levels</subject><subject>Water resources</subject><issn>1573-2975</issn><issn>1387-585X</issn><issn>1573-2975</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kE9Lw0AQxYMoWKtfwNOCV6P7J9lsjqVoKxT0oOdlkmzKlmST7iSKfgG_tlsj6MnTzMDvvTe8KLpk9IZRmt0io1KqmHIRU8FVHqujaMbSTMQ8z9LjP_tpdIa4o5TTnMtZ9Lny3eiqNxiMJ303GDdYaEgLfW_dloCrSGud8dDYDxhs5wggGsQ2gMQ6soS27wjsR1sbj9eH2_guYCMe9Iv10-QxNoN9BW9DDsEhOOFgyxAEDpp3tHgendTQoLn4mfPo5f7uebmON4-rh-ViE5dMpSoWgjPOZcoSqqq8ElmRyFzmBS2ylBpImJFGQVJBnpRVTUtTqIqnVRYGA5pwMY-uJt_ed_vR4KB33ejDE6gFTXOWJDKVgeITVfoO0Zta99624N81o_pQuJ4K16Fw_V24VkEkJhEG2G2N_7X-R_UFhC6GRg</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Njifen, Serges Raoul Kouamou</creator><creator>Nyam, Francoise Martine Enyegue A.</creator><creator>Fossi, Donald Hermann</creator><creator>Bikoro, Marcelin Bi-Alou</creator><creator>Tchikangoua, Anita Ngouokouo</creator><creator>Tabod, Charles Tabod</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7U6</scope><scope>8BJ</scope><scope>8FD</scope><scope>C1K</scope><scope>FQK</scope><scope>FR3</scope><scope>JBE</scope><scope>KR7</scope><scope>SOI</scope></search><sort><creationdate>20240601</creationdate><title>Groundwater potential mapping and mineralization assessment in Campo aquifers, Cameroon using AHP and multivariate statistical analysis</title><author>Njifen, Serges Raoul Kouamou ; Nyam, Francoise Martine Enyegue A. ; Fossi, Donald Hermann ; Bikoro, Marcelin Bi-Alou ; Tchikangoua, Anita Ngouokouo ; Tabod, Charles Tabod</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1858-332122651408d9d37b46969b0b750ea41e6e8a4da94cdf0ceb8d25d7b8d1a0423</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Analytic hierarchy process</topic><topic>Aquifers</topic><topic>Coastal aquifers</topic><topic>Density</topic><topic>Drainage density</topic><topic>Drawdown</topic><topic>Drilling</topic><topic>Drinking water</topic><topic>Earth and Environmental Science</topic><topic>Ecology</topic><topic>Economic Geology</topic><topic>Economic Growth</topic><topic>Environment</topic><topic>Environmental Economics</topic><topic>Environmental Management</topic><topic>Geographic information systems</topic><topic>Geology</topic><topic>Geomorphology</topic><topic>Groundwater</topic><topic>Groundwater management</topic><topic>Groundwater potential</topic><topic>Groundwater recharge</topic><topic>Hydrogeology</topic><topic>Infiltration rate</topic><topic>Information systems</topic><topic>Land cover</topic><topic>Land use</topic><topic>Lithology</topic><topic>Living conditions</topic><topic>Management planning</topic><topic>Mapping</topic><topic>Mineralization</topic><topic>Multivariate analysis</topic><topic>Multivariate statistical analysis</topic><topic>Rainfall</topic><topic>Remote sensing</topic><topic>Resource management</topic><topic>Soil water</topic><topic>Specific capacity</topic><topic>Statistical analysis</topic><topic>Statistics</topic><topic>Sustainable Development</topic><topic>Transmissivity</topic><topic>Water levels</topic><topic>Water resources</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Njifen, Serges Raoul Kouamou</creatorcontrib><creatorcontrib>Nyam, Francoise Martine Enyegue A.</creatorcontrib><creatorcontrib>Fossi, Donald Hermann</creatorcontrib><creatorcontrib>Bikoro, Marcelin Bi-Alou</creatorcontrib><creatorcontrib>Tchikangoua, Anita Ngouokouo</creatorcontrib><creatorcontrib>Tabod, Charles Tabod</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>International Bibliography of the Social Sciences</collection><collection>Engineering Research Database</collection><collection>International Bibliography of the Social Sciences</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Environment, development and sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Njifen, Serges Raoul Kouamou</au><au>Nyam, Francoise Martine Enyegue A.</au><au>Fossi, Donald Hermann</au><au>Bikoro, Marcelin Bi-Alou</au><au>Tchikangoua, Anita Ngouokouo</au><au>Tabod, Charles Tabod</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Groundwater potential mapping and mineralization assessment in Campo aquifers, Cameroon using AHP and multivariate statistical analysis</atitle><jtitle>Environment, development and sustainability</jtitle><stitle>Environ Dev Sustain</stitle><date>2024-06-01</date><risdate>2024</risdate><volume>26</volume><issue>6</issue><spage>16095</spage><epage>16127</epage><pages>16095-16127</pages><issn>1573-2975</issn><issn>1387-585X</issn><eissn>1573-2975</eissn><abstract>Improving the living conditions of campo residents requires access to drinking water. The surface and subsurface factors of a region influence the groundwater potential zones. The main objectives of this paper are to identify suitable groundwater zones for productive drilling and to assess groundwater mineralization in the coastal aquifers of the study area. Geographic Information Systems (GIS) and Analytical Hierarchy Process (AHP) were used in the methodology to generate the groundwater potential map. Lithology, geomorphology, specific capacity, hydraulic conductivity, transmissivity, rainfall, infiltration rate, lineament density, drawdown, static water level, soil thickness, drainage density, slope, and land use/land cover were taken into account to characterize the groundwater potential zones. Weights were assigned to the various parameters and their characteristics according to their impact on groundwater recharge. The groundwater potential map of Campo was classified into four zones namely: very low 783.5 km
2
(28.9%), low 835.2 km
2
(31.9%), moderate 858.4 km
2
(31.7%) and high 199.9 km
2
(7.3%). Multivariate statistical analysis was used to understand groundwater mineralization. Two phenomena are responsible for the mineralization of water: a process of interaction between water and rock; and a process of salinization resulting from natural phenomena or anthropic activities. The present study could guide hydrogeological investigations and groundwater resource management planning in the study area.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10668-023-03289-8</doi><tpages>33</tpages></addata></record> |
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| subjects | Analytic hierarchy process Aquifers Coastal aquifers Density Drainage density Drawdown Drilling Drinking water Earth and Environmental Science Ecology Economic Geology Economic Growth Environment Environmental Economics Environmental Management Geographic information systems Geology Geomorphology Groundwater Groundwater management Groundwater potential Groundwater recharge Hydrogeology Infiltration rate Information systems Land cover Land use Lithology Living conditions Management planning Mapping Mineralization Multivariate analysis Multivariate statistical analysis Rainfall Remote sensing Resource management Soil water Specific capacity Statistical analysis Statistics Sustainable Development Transmissivity Water levels Water resources |
| title | Groundwater potential mapping and mineralization assessment in Campo aquifers, Cameroon using AHP and multivariate statistical analysis |
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