Delineation of groundwater potential zones using the AHP technique: a case study of Alipurduar district, West Bengal
Increasing population with increasing demand of groundwater affects the level of groundwater. In the context of considerable change in the use of groundwater pattern, particularly with continuous increase in demand for groundwater due to many reasons, the present paper attempts to delineate groundwa...
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Veröffentlicht in: | Modeling earth systems and environment 2023-11, Vol.9 (4), p.4507-4537 |
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description | Increasing population with increasing demand of groundwater affects the level of groundwater. In the context of considerable change in the use of groundwater pattern, particularly with continuous increase in demand for groundwater due to many reasons, the present paper attempts to delineate groundwater potential zones (GWPZ) using integrated remote sensing, geographic information systems (GIS) and analytic hierarchy process (AHP) methods. To transform and harmonize geographic data and weightage ranking to get reliable information, geographic information systems are combined with analytical hierarchical processes. The current study has been done in the district where many areas are under tea garden and cultivated land. The use of excess of groundwater results in a drop in the water level. The mapping and the identification of groundwater potential zones were done for the Ganga alluvial plain of Alipurduar District of India. The groundwater potential index (GPI) was computed based on several factors (e.g., land use–land cover, soil type, geology, elevation, slope, rainfall, normalized difference vegetation index, drainage density, pre- and post-monsoon groundwater depth, etc.). To generate the groundwater potential zone map of the study area, an overlay weighted sum method was applied to integrate all thematic criteria. Groundwater potential index maps have been classified into five zones. The excellent potential zone comprise 50.5% (1583.68 km
2
), good 27.4% (859.26 km
2
), moderate11.3% (354.37 km
2
), poor 7.1% (222.66 km
2
) and very poor 3.7% (116.03 km
2
), respectively. After that, the maps were verified with groundwater-level fluctuation data of 30 observed wells through the ROC (receivers operating characteristic) curve. This paper has important implications for planning the sustainable groundwater plan and also different purposes, such as natural and artificial recharge, watershed delineation and proper water usage, can be effectively implemented in this agriculture-dominated areas in the district. |
doi_str_mv | 10.1007/s40808-023-01733-2 |
format | Article |
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2
), good 27.4% (859.26 km
2
), moderate11.3% (354.37 km
2
), poor 7.1% (222.66 km
2
) and very poor 3.7% (116.03 km
2
), respectively. After that, the maps were verified with groundwater-level fluctuation data of 30 observed wells through the ROC (receivers operating characteristic) curve. This paper has important implications for planning the sustainable groundwater plan and also different purposes, such as natural and artificial recharge, watershed delineation and proper water usage, can be effectively implemented in this agriculture-dominated areas in the district.</description><identifier>ISSN: 2363-6203</identifier><identifier>EISSN: 2363-6211</identifier><identifier>DOI: 10.1007/s40808-023-01733-2</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Alluvial plains ; Analytic hierarchy process ; Artificial recharge ; Chemistry and Earth Sciences ; Computer Science ; Cultivated lands ; Delineation ; Drainage density ; Earth and Environmental Science ; Earth Sciences ; Earth System Sciences ; Ecosystems ; Environment ; Geographic information systems ; Geographical information systems ; Geology ; Groundwater ; Groundwater data ; Groundwater levels ; Groundwater potential ; Information systems ; Land cover ; Land use ; Math. Appl. in Environmental Science ; Mathematical Applications in the Physical Sciences ; Normalized difference vegetative index ; Original Article ; Physics ; Population growth ; Rainfall ; Remote sensing ; Soil types ; Statistics for Engineering ; Water consumption ; Water levels ; Water use ; Watersheds</subject><ispartof>Modeling earth systems and environment, 2023-11, Vol.9 (4), p.4507-4537</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 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><citedby>FETCH-LOGICAL-c319t-354a945a1db37262c540e0547f8b5d1a329e67b57586e6f58db519e89eb5d59a3</citedby><cites>FETCH-LOGICAL-c319t-354a945a1db37262c540e0547f8b5d1a329e67b57586e6f58db519e89eb5d59a3</cites><orcidid>0000-0001-6274-9373</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40808-023-01733-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40808-023-01733-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids></links><search><creatorcontrib>Ghosh, Saumyajit</creatorcontrib><creatorcontrib>Das, Dipankar</creatorcontrib><creatorcontrib>Gayen, Shasanka Kumar</creatorcontrib><creatorcontrib>Bhardwaj, Pankaj</creatorcontrib><title>Delineation of groundwater potential zones using the AHP technique: a case study of Alipurduar district, West Bengal</title><title>Modeling earth systems and environment</title><addtitle>Model. Earth Syst. Environ</addtitle><description>Increasing population with increasing demand of groundwater affects the level of groundwater. In the context of considerable change in the use of groundwater pattern, particularly with continuous increase in demand for groundwater due to many reasons, the present paper attempts to delineate groundwater potential zones (GWPZ) using integrated remote sensing, geographic information systems (GIS) and analytic hierarchy process (AHP) methods. To transform and harmonize geographic data and weightage ranking to get reliable information, geographic information systems are combined with analytical hierarchical processes. The current study has been done in the district where many areas are under tea garden and cultivated land. The use of excess of groundwater results in a drop in the water level. The mapping and the identification of groundwater potential zones were done for the Ganga alluvial plain of Alipurduar District of India. The groundwater potential index (GPI) was computed based on several factors (e.g., land use–land cover, soil type, geology, elevation, slope, rainfall, normalized difference vegetation index, drainage density, pre- and post-monsoon groundwater depth, etc.). To generate the groundwater potential zone map of the study area, an overlay weighted sum method was applied to integrate all thematic criteria. Groundwater potential index maps have been classified into five zones. The excellent potential zone comprise 50.5% (1583.68 km
2
), good 27.4% (859.26 km
2
), moderate11.3% (354.37 km
2
), poor 7.1% (222.66 km
2
) and very poor 3.7% (116.03 km
2
), respectively. After that, the maps were verified with groundwater-level fluctuation data of 30 observed wells through the ROC (receivers operating characteristic) curve. This paper has important implications for planning the sustainable groundwater plan and also different purposes, such as natural and artificial recharge, watershed delineation and proper water usage, can be effectively implemented in this agriculture-dominated areas in the district.</description><subject>Alluvial plains</subject><subject>Analytic hierarchy process</subject><subject>Artificial recharge</subject><subject>Chemistry and Earth Sciences</subject><subject>Computer Science</subject><subject>Cultivated lands</subject><subject>Delineation</subject><subject>Drainage density</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earth System Sciences</subject><subject>Ecosystems</subject><subject>Environment</subject><subject>Geographic information systems</subject><subject>Geographical information systems</subject><subject>Geology</subject><subject>Groundwater</subject><subject>Groundwater data</subject><subject>Groundwater levels</subject><subject>Groundwater potential</subject><subject>Information systems</subject><subject>Land cover</subject><subject>Land use</subject><subject>Math. Appl. in Environmental Science</subject><subject>Mathematical Applications in the Physical Sciences</subject><subject>Normalized difference vegetative index</subject><subject>Original Article</subject><subject>Physics</subject><subject>Population growth</subject><subject>Rainfall</subject><subject>Remote sensing</subject><subject>Soil types</subject><subject>Statistics for Engineering</subject><subject>Water consumption</subject><subject>Water levels</subject><subject>Water use</subject><subject>Watersheds</subject><issn>2363-6203</issn><issn>2363-6211</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kEtPwzAQhCMEElXpH-BkiSsBP2LH5lbKo0iV4ADiaDnJJnUVnGA7QuXXk1IEN0670s7Mjr4kOSX4gmCcX4YMSyxTTFmKSc5YSg-SCWWCpYIScvi7Y3aczELYYIyJoEIoNUniDbTWgYm2c6irUeO7wVUfJoJHfRfBRWta9Nk5CGgI1jUorgHNl08oQrl29n2AK2RQaQKgEIdquwuZt7YffDUYjyobordlPEevECK6BteY9iQ5qk0bYPYzp8nL3e3zYpmuHu8fFvNVWjKiYsp4ZlTGDakKllNBS55hwDzLa1nwihhGFYi84DmXAkTNZVVwokAqGM9cGTZNzva5ve_GoiHqTTd4N77UVOaYS5wTMqroXlX6LgQPte69fTN-qwnWO8B6D1iPgPU3YE1HE9ubwih2Dfi_6H9cXz3Pffw</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Ghosh, Saumyajit</creator><creator>Das, Dipankar</creator><creator>Gayen, Shasanka Kumar</creator><creator>Bhardwaj, Pankaj</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>PYCSY</scope><orcidid>https://orcid.org/0000-0001-6274-9373</orcidid></search><sort><creationdate>20231101</creationdate><title>Delineation of groundwater potential zones using the AHP technique: a case study of Alipurduar district, West Bengal</title><author>Ghosh, Saumyajit ; Das, Dipankar ; Gayen, Shasanka Kumar ; Bhardwaj, Pankaj</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-354a945a1db37262c540e0547f8b5d1a329e67b57586e6f58db519e89eb5d59a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Alluvial plains</topic><topic>Analytic hierarchy process</topic><topic>Artificial recharge</topic><topic>Chemistry and Earth Sciences</topic><topic>Computer Science</topic><topic>Cultivated lands</topic><topic>Delineation</topic><topic>Drainage density</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earth System Sciences</topic><topic>Ecosystems</topic><topic>Environment</topic><topic>Geographic information systems</topic><topic>Geographical information systems</topic><topic>Geology</topic><topic>Groundwater</topic><topic>Groundwater data</topic><topic>Groundwater levels</topic><topic>Groundwater potential</topic><topic>Information systems</topic><topic>Land cover</topic><topic>Land use</topic><topic>Math. Appl. in Environmental Science</topic><topic>Mathematical Applications in the Physical Sciences</topic><topic>Normalized difference vegetative index</topic><topic>Original Article</topic><topic>Physics</topic><topic>Population growth</topic><topic>Rainfall</topic><topic>Remote sensing</topic><topic>Soil types</topic><topic>Statistics for Engineering</topic><topic>Water consumption</topic><topic>Water levels</topic><topic>Water use</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghosh, Saumyajit</creatorcontrib><creatorcontrib>Das, Dipankar</creatorcontrib><creatorcontrib>Gayen, Shasanka Kumar</creatorcontrib><creatorcontrib>Bhardwaj, Pankaj</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>Environmental Science Collection</collection><jtitle>Modeling earth systems and environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghosh, Saumyajit</au><au>Das, Dipankar</au><au>Gayen, Shasanka Kumar</au><au>Bhardwaj, Pankaj</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Delineation of groundwater potential zones using the AHP technique: a case study of Alipurduar district, West Bengal</atitle><jtitle>Modeling earth systems and environment</jtitle><stitle>Model. Earth Syst. Environ</stitle><date>2023-11-01</date><risdate>2023</risdate><volume>9</volume><issue>4</issue><spage>4507</spage><epage>4537</epage><pages>4507-4537</pages><issn>2363-6203</issn><eissn>2363-6211</eissn><abstract>Increasing population with increasing demand of groundwater affects the level of groundwater. In the context of considerable change in the use of groundwater pattern, particularly with continuous increase in demand for groundwater due to many reasons, the present paper attempts to delineate groundwater potential zones (GWPZ) using integrated remote sensing, geographic information systems (GIS) and analytic hierarchy process (AHP) methods. To transform and harmonize geographic data and weightage ranking to get reliable information, geographic information systems are combined with analytical hierarchical processes. The current study has been done in the district where many areas are under tea garden and cultivated land. The use of excess of groundwater results in a drop in the water level. The mapping and the identification of groundwater potential zones were done for the Ganga alluvial plain of Alipurduar District of India. The groundwater potential index (GPI) was computed based on several factors (e.g., land use–land cover, soil type, geology, elevation, slope, rainfall, normalized difference vegetation index, drainage density, pre- and post-monsoon groundwater depth, etc.). To generate the groundwater potential zone map of the study area, an overlay weighted sum method was applied to integrate all thematic criteria. Groundwater potential index maps have been classified into five zones. The excellent potential zone comprise 50.5% (1583.68 km
2
), good 27.4% (859.26 km
2
), moderate11.3% (354.37 km
2
), poor 7.1% (222.66 km
2
) and very poor 3.7% (116.03 km
2
), respectively. After that, the maps were verified with groundwater-level fluctuation data of 30 observed wells through the ROC (receivers operating characteristic) curve. This paper has important implications for planning the sustainable groundwater plan and also different purposes, such as natural and artificial recharge, watershed delineation and proper water usage, can be effectively implemented in this agriculture-dominated areas in the district.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s40808-023-01733-2</doi><tpages>31</tpages><orcidid>https://orcid.org/0000-0001-6274-9373</orcidid></addata></record> |
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subjects | Alluvial plains Analytic hierarchy process Artificial recharge Chemistry and Earth Sciences Computer Science Cultivated lands Delineation Drainage density Earth and Environmental Science Earth Sciences Earth System Sciences Ecosystems Environment Geographic information systems Geographical information systems Geology Groundwater Groundwater data Groundwater levels Groundwater potential Information systems Land cover Land use Math. Appl. in Environmental Science Mathematical Applications in the Physical Sciences Normalized difference vegetative index Original Article Physics Population growth Rainfall Remote sensing Soil types Statistics for Engineering Water consumption Water levels Water use Watersheds |
title | Delineation of groundwater potential zones using the AHP technique: a case study of Alipurduar district, West Bengal |
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