Modeling groundwater potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniques
Remote sensing and geographical information system (RS-GIS) have become a leading tool for modeling and mapping of groundwater resources. An attempt has been made to delineate the groundwater potential zones of Puruliya district using the integrated RS-GIS and AHP techniques. All the themes and thei...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2019-07-01
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| Series: | Geology, Ecology, and Landscapes |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/24749508.2018.1555740 |
| _version_ | 1811198445275316224 |
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| author | Biswajit Das Subodh Chandra Pal Sadhan Malik Rabin Chakrabortty |
| author_facet | Biswajit Das Subodh Chandra Pal Sadhan Malik Rabin Chakrabortty |
| author_sort | Biswajit Das |
| collection | DOAJ |
| description | Remote sensing and geographical information system (RS-GIS) have become a leading tool for modeling and mapping of groundwater resources. An attempt has been made to delineate the groundwater potential zones of Puruliya district using the integrated RS-GIS and AHP techniques. All the themes and their features have been assigned weights according to their relative importance and their normalized weights were calculated after the hierarchical ranking by pair-wise comparison matrix of analytical hierarchy process (AHP). Groundwater potential map has been prepared through weighted overlay model in GIS environment after integrating all the thematic layers. The entire district has been classified into three different groundwater potential zones—high, moderate, and low. Greater portion of the study area (60.92%) fall within the moderate potentiality zone, about 22.55% and 16.53% of the total area fall under the high and low potential zone, respectively. Potential zones have been validated with the groundwater yield data, 10 out of 14 validation points (71.43%), matches with the expected yield classes. It shows that the applied method produces significantly reliable results for the present study which can help the decision makers to formulate an effective plan for the study area. |
| first_indexed | 2024-04-12T01:31:56Z |
| format | Article |
| id | doaj.art-858bbc2846d04782897a95c194622666 |
| institution | Directory Open Access Journal |
| issn | 2474-9508 |
| language | English |
| last_indexed | 2024-04-12T01:31:56Z |
| publishDate | 2019-07-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geology, Ecology, and Landscapes |
| spelling | doaj.art-858bbc2846d04782897a95c1946226662022-12-22T03:53:28ZengTaylor & Francis GroupGeology, Ecology, and Landscapes2474-95082019-07-013322323710.1080/24749508.2018.15557401555740Modeling groundwater potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniquesBiswajit Das0Subodh Chandra Pal1Sadhan Malik2Rabin Chakrabortty3The University of BurdwanThe University of BurdwanThe University of BurdwanThe University of BurdwanRemote sensing and geographical information system (RS-GIS) have become a leading tool for modeling and mapping of groundwater resources. An attempt has been made to delineate the groundwater potential zones of Puruliya district using the integrated RS-GIS and AHP techniques. All the themes and their features have been assigned weights according to their relative importance and their normalized weights were calculated after the hierarchical ranking by pair-wise comparison matrix of analytical hierarchy process (AHP). Groundwater potential map has been prepared through weighted overlay model in GIS environment after integrating all the thematic layers. The entire district has been classified into three different groundwater potential zones—high, moderate, and low. Greater portion of the study area (60.92%) fall within the moderate potentiality zone, about 22.55% and 16.53% of the total area fall under the high and low potential zone, respectively. Potential zones have been validated with the groundwater yield data, 10 out of 14 validation points (71.43%), matches with the expected yield classes. It shows that the applied method produces significantly reliable results for the present study which can help the decision makers to formulate an effective plan for the study area.http://dx.doi.org/10.1080/24749508.2018.1555740GroundwaterPuruliyaAHPGISweighted overlay model |
| spellingShingle | Biswajit Das Subodh Chandra Pal Sadhan Malik Rabin Chakrabortty Modeling groundwater potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniques Geology, Ecology, and Landscapes Groundwater Puruliya AHP GIS weighted overlay model |
| title | Modeling groundwater potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniques |
| title_full | Modeling groundwater potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniques |
| title_fullStr | Modeling groundwater potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniques |
| title_full_unstemmed | Modeling groundwater potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniques |
| title_short | Modeling groundwater potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniques |
| title_sort | modeling groundwater potential zones of puruliya district west bengal india using remote sensing and gis techniques |
| topic | Groundwater Puruliya AHP GIS weighted overlay model |
| url | http://dx.doi.org/10.1080/24749508.2018.1555740 |
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