GIS based identification of groundwater recharge potential zones using RS and IF technique: a case study in Ottapidaram taluk, Tuticorin district, Tamil Nadu
This study is an approach to better estimate the groundwater recharge potential zones using geographical information system (GIS), influence factor and RS techniques. This concept has been applied in Ottapidaram taluk in Tuticorin district to determine the overall groundwater recharge potentiality....
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| Veröffentlicht in: | Environmental earth sciences 2015-04, Vol.73 (7), p.3785-3799 |
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| creator | Selvam, S Magesh, N. S Chidambaram, S Rajamanickam, M Sashikkumar, M. C |
| description | This study is an approach to better estimate the groundwater recharge potential zones using geographical information system (GIS), influence factor and RS techniques. This concept has been applied in Ottapidaram taluk in Tuticorin district to determine the overall groundwater recharge potentiality. Survey of India toposheets and Indian Remote Sensing-1C satellite imageries are used to prepare various thematic layers such as: lithology, slope, land use, lineament, drainage, soil, and rainfall. These layers were then transformed into raster data using the feature to raster converter tool in ArcGIS 9.3 software. Subjective weights are assigned to the respective thematic layers and overlaid in GIS platform for the identification of potential groundwater zones within the study area. These potential zones were categorized as ‘high’, ‘moderate’, and ‘low’ zones with respect to the assigned weightage of different thematic layers. The results reveal that the areas of good groundwater potential are estimated to cover 260.25 km²(35 % of the study area), moderate potential 297.43 km²(40 %), and low potential 185 km²(25 %). Moreover, only 34 % of the total average annual precipitated water (680 mm) percolates into subsurface and ultimately contributes to recharge the groundwater. These results suggest that the high potential zones will have a key role in future expansion of drinking water and irrigation development in the study area. |
| doi_str_mv | 10.1007/s12665-014-3664-0 |
| format | Article |
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These potential zones were categorized as ‘high’, ‘moderate’, and ‘low’ zones with respect to the assigned weightage of different thematic layers. The results reveal that the areas of good groundwater potential are estimated to cover 260.25 km²(35 % of the study area), moderate potential 297.43 km²(40 %), and low potential 185 km²(25 %). Moreover, only 34 % of the total average annual precipitated water (680 mm) percolates into subsurface and ultimately contributes to recharge the groundwater. These results suggest that the high potential zones will have a key role in future expansion of drinking water and irrigation development in the study area.</description><identifier>ISSN: 1866-6280</identifier><identifier>EISSN: 1866-6299</identifier><identifier>DOI: 10.1007/s12665-014-3664-0</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Biogeosciences ; Case studies ; computer software ; drainage ; Drinking water ; Earth and Environmental Science ; Earth Sciences ; Environmental Science and Engineering ; Geochemistry ; Geographic information systems ; Geology ; Groundwater ; Groundwater flow ; Groundwater potential ; Groundwater recharge ; Hydrology/Water Resources ; India ; Indian spacecraft ; Irrigation water ; Land use ; Lithology ; Original Article ; rain ; Raster ; raster data ; Remote sensing ; Satellite navigation systems ; soil ; surveys ; Terrestrial Pollution</subject><ispartof>Environmental earth sciences, 2015-04, Vol.73 (7), p.3785-3799</ispartof><rights>Springer-Verlag Berlin Heidelberg 2014</rights><rights>Springer-Verlag Berlin Heidelberg 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a429t-9880d340cc2d0b1f1389a154dff8ad0ed0a6f0a4cda89563bb082470b8705a7d3</citedby><cites>FETCH-LOGICAL-a429t-9880d340cc2d0b1f1389a154dff8ad0ed0a6f0a4cda89563bb082470b8705a7d3</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/s12665-014-3664-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12665-014-3664-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Selvam, S</creatorcontrib><creatorcontrib>Magesh, N. 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These results suggest that the high potential zones will have a key role in future expansion of drinking water and irrigation development in the study area.</description><subject>Biogeosciences</subject><subject>Case studies</subject><subject>computer software</subject><subject>drainage</subject><subject>Drinking water</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environmental Science and Engineering</subject><subject>Geochemistry</subject><subject>Geographic information systems</subject><subject>Geology</subject><subject>Groundwater</subject><subject>Groundwater flow</subject><subject>Groundwater potential</subject><subject>Groundwater recharge</subject><subject>Hydrology/Water Resources</subject><subject>India</subject><subject>Indian spacecraft</subject><subject>Irrigation water</subject><subject>Land use</subject><subject>Lithology</subject><subject>Original Article</subject><subject>rain</subject><subject>Raster</subject><subject>raster data</subject><subject>Remote sensing</subject><subject>Satellite navigation systems</subject><subject>soil</subject><subject>surveys</subject><subject>Terrestrial Pollution</subject><issn>1866-6280</issn><issn>1866-6299</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkcGKFDEQhhtRcFn3ATwZ8OLB1konnU68ybK7DiwuOLvnUJ2kx6w9yZikkfVdfFcztIh4EOtSRer7fyr8TfOcwhsKMLzNtBOib4HylgnBW3jUnFApRCs6pR7_niU8bc5yvodajDIF4qT5cbXZkhGzs8RbF4qfvMHiYyBxIrsUl2C_YXGJJGc-Y9o5cojlyOFMvsfgMlmyDzvyaUswWLK5JKWCwX9d3DuCxFRnkstiH4gP5KYUPHiLCfek4Lx8eU1ul-JNTHVpfS7Jm1LfcO9n8hHt8qx5MuGc3dmvftrcXV7cnn9or2-uNufvr1vknSqtkhIs42BMZ2GkE2VSIe25nSaJFpwFFBMgNxal6gUbR5AdH2CUA_Q4WHbavFp9DynWy3PRe5-Nm2cMLi5ZUzEMSsies_9BGVNc9FDRl3-h93FJoX6kUoIqLkHxStGVMinmnNykD8nvMT1oCvoYr17j1TVefYxXH527VZMrG3Yu_eH8D9GLVTRh1LhLPuu7bQe0B6CSDQNlPwHelrFo</recordid><startdate>20150401</startdate><enddate>20150401</enddate><creator>Selvam, S</creator><creator>Magesh, N. 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S</au><au>Chidambaram, S</au><au>Rajamanickam, M</au><au>Sashikkumar, M. C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>GIS based identification of groundwater recharge potential zones using RS and IF technique: a case study in Ottapidaram taluk, Tuticorin district, Tamil Nadu</atitle><jtitle>Environmental earth sciences</jtitle><stitle>Environ Earth Sci</stitle><date>2015-04-01</date><risdate>2015</risdate><volume>73</volume><issue>7</issue><spage>3785</spage><epage>3799</epage><pages>3785-3799</pages><issn>1866-6280</issn><eissn>1866-6299</eissn><abstract>This study is an approach to better estimate the groundwater recharge potential zones using geographical information system (GIS), influence factor and RS techniques. This concept has been applied in Ottapidaram taluk in Tuticorin district to determine the overall groundwater recharge potentiality. Survey of India toposheets and Indian Remote Sensing-1C satellite imageries are used to prepare various thematic layers such as: lithology, slope, land use, lineament, drainage, soil, and rainfall. These layers were then transformed into raster data using the feature to raster converter tool in ArcGIS 9.3 software. Subjective weights are assigned to the respective thematic layers and overlaid in GIS platform for the identification of potential groundwater zones within the study area. These potential zones were categorized as ‘high’, ‘moderate’, and ‘low’ zones with respect to the assigned weightage of different thematic layers. The results reveal that the areas of good groundwater potential are estimated to cover 260.25 km²(35 % of the study area), moderate potential 297.43 km²(40 %), and low potential 185 km²(25 %). Moreover, only 34 % of the total average annual precipitated water (680 mm) percolates into subsurface and ultimately contributes to recharge the groundwater. These results suggest that the high potential zones will have a key role in future expansion of drinking water and irrigation development in the study area.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><doi>10.1007/s12665-014-3664-0</doi><tpages>15</tpages></addata></record> |
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| subjects | Biogeosciences Case studies computer software drainage Drinking water Earth and Environmental Science Earth Sciences Environmental Science and Engineering Geochemistry Geographic information systems Geology Groundwater Groundwater flow Groundwater potential Groundwater recharge Hydrology/Water Resources India Indian spacecraft Irrigation water Land use Lithology Original Article rain Raster raster data Remote sensing Satellite navigation systems soil surveys Terrestrial Pollution |
| title | GIS based identification of groundwater recharge potential zones using RS and IF technique: a case study in Ottapidaram taluk, Tuticorin district, Tamil Nadu |
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