Aquifer vulnerability assessment in the Bengal alluvial tract, India, using GIS based DRASTIC model
In the present study, an attempt has been made to evaluate the aquifer vulnerability in the central part of Bengal alluvial tract, covering 5324 km 2 area by using DRASTIC model. Seven critical hydrogeological factors were taken into consideration. Initially, vulnerability index of individual factor...
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description | In the present study, an attempt has been made to evaluate the aquifer vulnerability in the central part of Bengal alluvial tract, covering 5324 km
2
area by using DRASTIC model. Seven critical hydrogeological factors were taken into consideration. Initially, vulnerability index of individual factors were calculated on the basis of predefined weights and ratings. These indices were further combined to depict the actual vulnerability of the region. The model comprised of seven spatial parameters and their attributes and in handling of such diverse datasets, GIS played a significant role. For the depiction of the subsurface lithological characteristics, subsurface lotho-log data were used to generate 3 dimensional fence diagram of the entire region which was further helped in depicting the aquifer media condition. Entire eastern region of river Bhagirathi, a distributary of river Ganga, showed higher vulnerability index, which was about 29.65 % of the total study area, while the western portion had lesser vulnerability. Along with conventional modeling, map removal sensitivity analysis was also incorporated to examine the impact of different factors on the entire model. Depth to the water and impact of vadose zone were two important factors that contributed 46.93 % of the total variability of the model. Further, the generated model was incorporated with the locations of 156 groundwater samples, collected from the entire region and concentration of arsenic was determined to understand the probable relationship with the generated model through correlation coefficient. The model presented in the paper depicted recent hydrogeochemical condition of the aquifer which might help in further management of the region. |
doi_str_mv | 10.1007/s40808-016-0208-5 |
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2
area by using DRASTIC model. Seven critical hydrogeological factors were taken into consideration. Initially, vulnerability index of individual factors were calculated on the basis of predefined weights and ratings. These indices were further combined to depict the actual vulnerability of the region. The model comprised of seven spatial parameters and their attributes and in handling of such diverse datasets, GIS played a significant role. For the depiction of the subsurface lithological characteristics, subsurface lotho-log data were used to generate 3 dimensional fence diagram of the entire region which was further helped in depicting the aquifer media condition. Entire eastern region of river Bhagirathi, a distributary of river Ganga, showed higher vulnerability index, which was about 29.65 % of the total study area, while the western portion had lesser vulnerability. Along with conventional modeling, map removal sensitivity analysis was also incorporated to examine the impact of different factors on the entire model. Depth to the water and impact of vadose zone were two important factors that contributed 46.93 % of the total variability of the model. Further, the generated model was incorporated with the locations of 156 groundwater samples, collected from the entire region and concentration of arsenic was determined to understand the probable relationship with the generated model through correlation coefficient. The model presented in the paper depicted recent hydrogeochemical condition of the aquifer which might help in further management of the region.</description><identifier>ISSN: 2363-6203</identifier><identifier>EISSN: 2363-6211</identifier><identifier>DOI: 10.1007/s40808-016-0208-5</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Aquifers ; Arsenic ; Chemistry and Earth Sciences ; Computer Science ; Correlation coefficient ; Correlation coefficients ; Earth and Environmental Science ; Earth Sciences ; Earth System Sciences ; Ecosystems ; Environment ; Geographical information systems ; Geology ; Groundwater ; Handling ; Hydrogeochemistry ; Hydrogeology ; Lithology ; Math. Appl. in Environmental Science ; Mathematical Applications in the Physical Sciences ; Modelling ; Original Article ; Physics ; Removal ; Rivers ; Sensitivity analysis ; Spatial distribution ; Statistics for Engineering ; Vadose water ; Vulnerability ; Water analysis ; Water depth ; Water sampling</subject><ispartof>Modeling earth systems and environment, 2016-09, Vol.2 (3), p.1-13, Article 153</ispartof><rights>Springer International Publishing Switzerland 2016</rights><rights>Copyright Springer Science & Business Media 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a382t-32899433bebee7ffa22be81c59e296860e9aa252cef1363266fbcfab82e432ea3</citedby><cites>FETCH-LOGICAL-a382t-32899433bebee7ffa22be81c59e296860e9aa252cef1363266fbcfab82e432ea3</cites><orcidid>0000-0001-8773-4362</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/s40808-016-0208-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40808-016-0208-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Ghosh, Tathagata</creatorcontrib><creatorcontrib>Kanchan, Rolee</creatorcontrib><title>Aquifer vulnerability assessment in the Bengal alluvial tract, India, using GIS based DRASTIC model</title><title>Modeling earth systems and environment</title><addtitle>Model. Earth Syst. Environ</addtitle><description>In the present study, an attempt has been made to evaluate the aquifer vulnerability in the central part of Bengal alluvial tract, covering 5324 km
2
area by using DRASTIC model. Seven critical hydrogeological factors were taken into consideration. Initially, vulnerability index of individual factors were calculated on the basis of predefined weights and ratings. These indices were further combined to depict the actual vulnerability of the region. The model comprised of seven spatial parameters and their attributes and in handling of such diverse datasets, GIS played a significant role. For the depiction of the subsurface lithological characteristics, subsurface lotho-log data were used to generate 3 dimensional fence diagram of the entire region which was further helped in depicting the aquifer media condition. Entire eastern region of river Bhagirathi, a distributary of river Ganga, showed higher vulnerability index, which was about 29.65 % of the total study area, while the western portion had lesser vulnerability. Along with conventional modeling, map removal sensitivity analysis was also incorporated to examine the impact of different factors on the entire model. Depth to the water and impact of vadose zone were two important factors that contributed 46.93 % of the total variability of the model. Further, the generated model was incorporated with the locations of 156 groundwater samples, collected from the entire region and concentration of arsenic was determined to understand the probable relationship with the generated model through correlation coefficient. The model presented in the paper depicted recent hydrogeochemical condition of the aquifer which might help in further management of the region.</description><subject>Aquifers</subject><subject>Arsenic</subject><subject>Chemistry and Earth Sciences</subject><subject>Computer Science</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earth System Sciences</subject><subject>Ecosystems</subject><subject>Environment</subject><subject>Geographical information systems</subject><subject>Geology</subject><subject>Groundwater</subject><subject>Handling</subject><subject>Hydrogeochemistry</subject><subject>Hydrogeology</subject><subject>Lithology</subject><subject>Math. Appl. in Environmental Science</subject><subject>Mathematical Applications in the Physical Sciences</subject><subject>Modelling</subject><subject>Original Article</subject><subject>Physics</subject><subject>Removal</subject><subject>Rivers</subject><subject>Sensitivity analysis</subject><subject>Spatial distribution</subject><subject>Statistics for Engineering</subject><subject>Vadose water</subject><subject>Vulnerability</subject><subject>Water analysis</subject><subject>Water depth</subject><subject>Water sampling</subject><issn>2363-6203</issn><issn>2363-6211</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp1kE9LAzEUxIMoWGo_gLeA167mzzZNjrVqXRAEW88hu32pKdtsm-wW-u1NWREvnt4cZuYxP4RuKbmnhEwfYk4kkRmhIiMsickFGjAueCYYpZe_mvBrNIpxS0hyMiGUGqBqduichYCPXe0hmNLVrj1hEyPEuAPfYudx-wX4EfzG1NjUdXd0SbTBVO0YF37tzBh30fkNXhRLXJoIa_z0MVuuijneNWuob9CVNXWE0c8dos-X59X8NXt7XxTz2VtmuGRtxplUKue8hBJgaq1hrARJq4kCpoQUBJQxbMIqsDQNSgNsWVlTSgY5Z2D4EN31vfvQHDqIrd42XfDppaZSkmmuOBHJRXtXFZoYA1i9D25nwklTos84dY9TJ0j6jFNPUob1mZi8fgPhT_O_oW_4jXcP</recordid><startdate>20160901</startdate><enddate>20160901</enddate><creator>Ghosh, Tathagata</creator><creator>Kanchan, Rolee</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>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0001-8773-4362</orcidid></search><sort><creationdate>20160901</creationdate><title>Aquifer vulnerability assessment in the Bengal alluvial tract, India, using GIS based DRASTIC model</title><author>Ghosh, Tathagata ; Kanchan, Rolee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a382t-32899433bebee7ffa22be81c59e296860e9aa252cef1363266fbcfab82e432ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aquifers</topic><topic>Arsenic</topic><topic>Chemistry and Earth Sciences</topic><topic>Computer Science</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earth System Sciences</topic><topic>Ecosystems</topic><topic>Environment</topic><topic>Geographical information systems</topic><topic>Geology</topic><topic>Groundwater</topic><topic>Handling</topic><topic>Hydrogeochemistry</topic><topic>Hydrogeology</topic><topic>Lithology</topic><topic>Math. Appl. in Environmental Science</topic><topic>Mathematical Applications in the Physical Sciences</topic><topic>Modelling</topic><topic>Original Article</topic><topic>Physics</topic><topic>Removal</topic><topic>Rivers</topic><topic>Sensitivity analysis</topic><topic>Spatial distribution</topic><topic>Statistics for Engineering</topic><topic>Vadose water</topic><topic>Vulnerability</topic><topic>Water analysis</topic><topic>Water depth</topic><topic>Water sampling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghosh, Tathagata</creatorcontrib><creatorcontrib>Kanchan, Rolee</creatorcontrib><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Modeling earth systems and environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghosh, Tathagata</au><au>Kanchan, Rolee</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Aquifer vulnerability assessment in the Bengal alluvial tract, India, using GIS based DRASTIC model</atitle><jtitle>Modeling earth systems and environment</jtitle><stitle>Model. Earth Syst. Environ</stitle><date>2016-09-01</date><risdate>2016</risdate><volume>2</volume><issue>3</issue><spage>1</spage><epage>13</epage><pages>1-13</pages><artnum>153</artnum><issn>2363-6203</issn><eissn>2363-6211</eissn><abstract>In the present study, an attempt has been made to evaluate the aquifer vulnerability in the central part of Bengal alluvial tract, covering 5324 km
2
area by using DRASTIC model. Seven critical hydrogeological factors were taken into consideration. Initially, vulnerability index of individual factors were calculated on the basis of predefined weights and ratings. These indices were further combined to depict the actual vulnerability of the region. The model comprised of seven spatial parameters and their attributes and in handling of such diverse datasets, GIS played a significant role. For the depiction of the subsurface lithological characteristics, subsurface lotho-log data were used to generate 3 dimensional fence diagram of the entire region which was further helped in depicting the aquifer media condition. Entire eastern region of river Bhagirathi, a distributary of river Ganga, showed higher vulnerability index, which was about 29.65 % of the total study area, while the western portion had lesser vulnerability. Along with conventional modeling, map removal sensitivity analysis was also incorporated to examine the impact of different factors on the entire model. Depth to the water and impact of vadose zone were two important factors that contributed 46.93 % of the total variability of the model. Further, the generated model was incorporated with the locations of 156 groundwater samples, collected from the entire region and concentration of arsenic was determined to understand the probable relationship with the generated model through correlation coefficient. The model presented in the paper depicted recent hydrogeochemical condition of the aquifer which might help in further management of the region.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s40808-016-0208-5</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-8773-4362</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aquifers Arsenic Chemistry and Earth Sciences Computer Science Correlation coefficient Correlation coefficients Earth and Environmental Science Earth Sciences Earth System Sciences Ecosystems Environment Geographical information systems Geology Groundwater Handling Hydrogeochemistry Hydrogeology Lithology Math. Appl. in Environmental Science Mathematical Applications in the Physical Sciences Modelling Original Article Physics Removal Rivers Sensitivity analysis Spatial distribution Statistics for Engineering Vadose water Vulnerability Water analysis Water depth Water sampling |
title | Aquifer vulnerability assessment in the Bengal alluvial tract, India, using GIS based DRASTIC model |
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