Identification of groundwater potential zones in Mandavi River basin, Andhra Pradesh, India using remote sensing, GIS and MIF techniques
Identification of groundwater potential zones (GWPZ) in a crystalline rock terrain is a crucial task for sustainable groundwater resource management, through scientific knowledge and modern geospatial techniques. Remote Sensing (RS) and Geographical Information System (GIS) plays a key role in evalu...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2019-12-01
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| Series: | HydroResearch |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589757819300125 |
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| author | R. Siddi Raju G. Sudarsana Raju M. Rajasekhar |
| author_facet | R. Siddi Raju G. Sudarsana Raju M. Rajasekhar |
| author_sort | R. Siddi Raju |
| collection | DOAJ |
| description | Identification of groundwater potential zones (GWPZ) in a crystalline rock terrain is a crucial task for sustainable groundwater resource management, through scientific knowledge and modern geospatial techniques. Remote Sensing (RS) and Geographical Information System (GIS) plays a key role in evaluating, conserving and monitoring various groundwater-related development programs. The present study integrates RS, GIS and multi influence factor (MIF) techniques for evaluating GWPZ in Mandavi River basin. In this connection IRS-R2 LISS IV satellite imagery, the Survey Of India (SOI) toposheets and various auxiliary data sets from different sources have been used in preparing thematic maps like drainage density, lineament density, geology, soil, geomorphology, slope, rainfall, soil texture, land use/land cover and groundwater levels. Then the thematic layers were changed into raster format in Arc GIS 10.4 environment. Weights and ratings have been statistically calculated and assigned to raster maps based on the technique named multi-influence factor. Finally, it is found that the GWPZ were classified into four type's viz. very poor, poor, good, and very good with spatial extents of 533 sq. km (36%), 510 sq. km (35%), 319 sq. km (21%) and 103 sq. km (7%) respectively. The end results were validated with the observation of well data. The overall accuracy and kappa coefficients were 72.8% and 0.63 respectively, which shows a good correlation between groundwater potential zones and the observed well data. These results will help hydrogeologists, decision-makers, planners and local authorities to formulate better groundwater resource planning in the Mandavi River Basin. Keywords: Groundwater potential zones (GWPZ), Multi influence factor (MIF), Remote sensing and GIS, Mandavi River basin |
| first_indexed | 2024-12-20T00:00:37Z |
| format | Article |
| id | doaj.art-72dcf16696e143b78d653dac945a0c4d |
| institution | Directory Open Access Journal |
| issn | 2589-7578 |
| language | English |
| last_indexed | 2024-12-20T00:00:37Z |
| publishDate | 2019-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | HydroResearch |
| spelling | doaj.art-72dcf16696e143b78d653dac945a0c4d2022-12-21T20:00:51ZengKeAi Communications Co., Ltd.HydroResearch2589-75782019-12-012111Identification of groundwater potential zones in Mandavi River basin, Andhra Pradesh, India using remote sensing, GIS and MIF techniquesR. Siddi Raju0G. Sudarsana Raju1M. Rajasekhar2Department of Geology, Yogi Vemana University, Vemanapuram, Kadapa 516005, Andhra Pradesh, IndiaCorresponding author.; Department of Geology, Yogi Vemana University, Vemanapuram, Kadapa 516005, Andhra Pradesh, IndiaDepartment of Geology, Yogi Vemana University, Vemanapuram, Kadapa 516005, Andhra Pradesh, IndiaIdentification of groundwater potential zones (GWPZ) in a crystalline rock terrain is a crucial task for sustainable groundwater resource management, through scientific knowledge and modern geospatial techniques. Remote Sensing (RS) and Geographical Information System (GIS) plays a key role in evaluating, conserving and monitoring various groundwater-related development programs. The present study integrates RS, GIS and multi influence factor (MIF) techniques for evaluating GWPZ in Mandavi River basin. In this connection IRS-R2 LISS IV satellite imagery, the Survey Of India (SOI) toposheets and various auxiliary data sets from different sources have been used in preparing thematic maps like drainage density, lineament density, geology, soil, geomorphology, slope, rainfall, soil texture, land use/land cover and groundwater levels. Then the thematic layers were changed into raster format in Arc GIS 10.4 environment. Weights and ratings have been statistically calculated and assigned to raster maps based on the technique named multi-influence factor. Finally, it is found that the GWPZ were classified into four type's viz. very poor, poor, good, and very good with spatial extents of 533 sq. km (36%), 510 sq. km (35%), 319 sq. km (21%) and 103 sq. km (7%) respectively. The end results were validated with the observation of well data. The overall accuracy and kappa coefficients were 72.8% and 0.63 respectively, which shows a good correlation between groundwater potential zones and the observed well data. These results will help hydrogeologists, decision-makers, planners and local authorities to formulate better groundwater resource planning in the Mandavi River Basin. Keywords: Groundwater potential zones (GWPZ), Multi influence factor (MIF), Remote sensing and GIS, Mandavi River basinhttp://www.sciencedirect.com/science/article/pii/S2589757819300125 |
| spellingShingle | R. Siddi Raju G. Sudarsana Raju M. Rajasekhar Identification of groundwater potential zones in Mandavi River basin, Andhra Pradesh, India using remote sensing, GIS and MIF techniques HydroResearch |
| title | Identification of groundwater potential zones in Mandavi River basin, Andhra Pradesh, India using remote sensing, GIS and MIF techniques |
| title_full | Identification of groundwater potential zones in Mandavi River basin, Andhra Pradesh, India using remote sensing, GIS and MIF techniques |
| title_fullStr | Identification of groundwater potential zones in Mandavi River basin, Andhra Pradesh, India using remote sensing, GIS and MIF techniques |
| title_full_unstemmed | Identification of groundwater potential zones in Mandavi River basin, Andhra Pradesh, India using remote sensing, GIS and MIF techniques |
| title_short | Identification of groundwater potential zones in Mandavi River basin, Andhra Pradesh, India using remote sensing, GIS and MIF techniques |
| title_sort | identification of groundwater potential zones in mandavi river basin andhra pradesh india using remote sensing gis and mif techniques |
| url | http://www.sciencedirect.com/science/article/pii/S2589757819300125 |
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