Application of remote sensing, GIS and MCA techniques for delineating groundwater prospect zones in Kashipur block, Purulia district, West Bengal
Abstract Demand of groundwater resources has increased manifold with population expansion as well as with the advent of modern civilization. Assessment, planning and management of groundwater resource are becoming crucial and extremely urgent in recent time. The study area belongs to Kashipur block,...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-02-01
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| Series: | Applied Water Science |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1007/s13201-018-0679-9 |
| _version_ | 1828156698638942208 |
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| author | S. K. Nag Anindita Kundu |
| author_facet | S. K. Nag Anindita Kundu |
| author_sort | S. K. Nag |
| collection | DOAJ |
| description | Abstract Demand of groundwater resources has increased manifold with population expansion as well as with the advent of modern civilization. Assessment, planning and management of groundwater resource are becoming crucial and extremely urgent in recent time. The study area belongs to Kashipur block, Purulia district, West Bengal. The area is characterized with dry climate and hard rock terrain. The objective of this study is to delineate groundwater potential zone for the assessment of groundwater availability using remote sensing, GIS and MCA techniques. Different thematic layers such as hydrogeomorphology, slope and lineament density maps have been transformed to raster data in TNT mips pro2012. To assign weights and ranks to different input factor maps, multi-influencing factor (MIF) technique has been used. The weights assigned to each factor have been computed statistically. Weighted index overlay modeling technique was used to develop a groundwater potential zone map with three weighted and scored parameters. Finally, the study area has been categorized into four distinct groundwater potential zones—excellent 1.5% (6.45 sq. km), good 53% (227.9 sq. km), moderate 45% (193.5 sq. km.) and poor ~ 0.5% (2.15 sq. km). The outcome of the present study will help local authorities, researchers, decision makers and planners in formulating proper planning and management of groundwater resources in different hydrogeological situations. |
| first_indexed | 2024-04-11T23:16:52Z |
| format | Article |
| id | doaj.art-9ef497ef6daa480081d877ae6bbe0b67 |
| institution | Directory Open Access Journal |
| issn | 2190-5487 2190-5495 |
| language | English |
| last_indexed | 2024-04-11T23:16:52Z |
| publishDate | 2018-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Applied Water Science |
| spelling | doaj.art-9ef497ef6daa480081d877ae6bbe0b672022-12-22T03:57:36ZengSpringerOpenApplied Water Science2190-54872190-54952018-02-018111310.1007/s13201-018-0679-9Application of remote sensing, GIS and MCA techniques for delineating groundwater prospect zones in Kashipur block, Purulia district, West BengalS. K. Nag0Anindita Kundu1Department of Geological Sciences, Jadavpur UniversityDepartment of Geological Sciences, Jadavpur UniversityAbstract Demand of groundwater resources has increased manifold with population expansion as well as with the advent of modern civilization. Assessment, planning and management of groundwater resource are becoming crucial and extremely urgent in recent time. The study area belongs to Kashipur block, Purulia district, West Bengal. The area is characterized with dry climate and hard rock terrain. The objective of this study is to delineate groundwater potential zone for the assessment of groundwater availability using remote sensing, GIS and MCA techniques. Different thematic layers such as hydrogeomorphology, slope and lineament density maps have been transformed to raster data in TNT mips pro2012. To assign weights and ranks to different input factor maps, multi-influencing factor (MIF) technique has been used. The weights assigned to each factor have been computed statistically. Weighted index overlay modeling technique was used to develop a groundwater potential zone map with three weighted and scored parameters. Finally, the study area has been categorized into four distinct groundwater potential zones—excellent 1.5% (6.45 sq. km), good 53% (227.9 sq. km), moderate 45% (193.5 sq. km.) and poor ~ 0.5% (2.15 sq. km). The outcome of the present study will help local authorities, researchers, decision makers and planners in formulating proper planning and management of groundwater resources in different hydrogeological situations.http://link.springer.com/article/10.1007/s13201-018-0679-9Remote sensing and GIS analysisMulti-criteria analysis (MCA)Weighted index overlay (WIOA)Groundwater potential zoneKashipur blockPurulia district |
| spellingShingle | S. K. Nag Anindita Kundu Application of remote sensing, GIS and MCA techniques for delineating groundwater prospect zones in Kashipur block, Purulia district, West Bengal Applied Water Science Remote sensing and GIS analysis Multi-criteria analysis (MCA) Weighted index overlay (WIOA) Groundwater potential zone Kashipur block Purulia district |
| title | Application of remote sensing, GIS and MCA techniques for delineating groundwater prospect zones in Kashipur block, Purulia district, West Bengal |
| title_full | Application of remote sensing, GIS and MCA techniques for delineating groundwater prospect zones in Kashipur block, Purulia district, West Bengal |
| title_fullStr | Application of remote sensing, GIS and MCA techniques for delineating groundwater prospect zones in Kashipur block, Purulia district, West Bengal |
| title_full_unstemmed | Application of remote sensing, GIS and MCA techniques for delineating groundwater prospect zones in Kashipur block, Purulia district, West Bengal |
| title_short | Application of remote sensing, GIS and MCA techniques for delineating groundwater prospect zones in Kashipur block, Purulia district, West Bengal |
| title_sort | application of remote sensing gis and mca techniques for delineating groundwater prospect zones in kashipur block purulia district west bengal |
| topic | Remote sensing and GIS analysis Multi-criteria analysis (MCA) Weighted index overlay (WIOA) Groundwater potential zone Kashipur block Purulia district |
| url | http://link.springer.com/article/10.1007/s13201-018-0679-9 |
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