Delineation of Groundwater Potential Zones in Narmada District Gujarat (India) Using GIS and AHP Techniques
Abstract A detailed study was conducted to identify groundwater potential zones in Gujarat’s Narmada district using the analytical hierarchy process (AHP) based on GIS and eleven thematic layers, including annual rainfall, slope, soil, curvature, drainage density, distance from river, lineament dens...
Ausführliche Beschreibung
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| Autor*in: |
Chavda, Zeel K. [verfasserIn] Kakwani, Dhara [verfasserIn] Singh, Neha [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Water conservation science and engineering - Springer Nature Singapore, 2016, 9(2024), 1 vom: 14. Feb. |
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| Übergeordnetes Werk: |
volume:9 ; year:2024 ; number:1 ; day:14 ; month:02 |
| Links: |
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| DOI / URN: |
10.1007/s41101-024-00238-y |
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| Katalog-ID: |
SPR054775809 |
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| 520 | |a Abstract A detailed study was conducted to identify groundwater potential zones in Gujarat’s Narmada district using the analytical hierarchy process (AHP) based on GIS and eleven thematic layers, including annual rainfall, slope, soil, curvature, drainage density, distance from river, lineament density, land use/land cover (LULC), geology, geomorphology, and topographic wetness index (TWI). The study’s findings demonstrate that a number of factors, including lithology, slope, and land use/land cover, have an influence on the potential for groundwater in the Narmada district. The total district was classified into low, moderate, and high potential zones; 31.79733 $ km^{2} $ (1.143461%) of the district falls in low groundwater potential zone, 2251.19 $ km^{2} $ (80.95484%) in moderate potential, and 497.81 $ km^{2} $ (17.9017%) in high potential zone. High groundwater potential zones are correlated with agricultural land use, moderate slopes, and favourable geomorphology, whereas low groundwater potential zones are associated with dense vegetation, steep slopes, and unfavourable geomorphology. Using groundwater level data, the ROC curve approach was used to evaluate the accuracy of the groundwater potential zones map. The generated maps of groundwater potential can be helpful in groundwater resource management and planning, helping to identify the best locations for digging new wells, maximising the usage of existing wells, and putting into practice effective groundwater management strategies. | ||
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| 700 | 1 | |a Singh, Neha |e verfasserin |4 aut | |
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10.1007/s41101-024-00238-y doi (DE-627)SPR054775809 (SPR)s41101-024-00238-y-e DE-627 ger DE-627 rakwb eng 333.7 VZ 333.7 VZ Chavda, Zeel K. verfasserin aut Delineation of Groundwater Potential Zones in Narmada District Gujarat (India) Using GIS and AHP Techniques 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract A detailed study was conducted to identify groundwater potential zones in Gujarat’s Narmada district using the analytical hierarchy process (AHP) based on GIS and eleven thematic layers, including annual rainfall, slope, soil, curvature, drainage density, distance from river, lineament density, land use/land cover (LULC), geology, geomorphology, and topographic wetness index (TWI). The study’s findings demonstrate that a number of factors, including lithology, slope, and land use/land cover, have an influence on the potential for groundwater in the Narmada district. The total district was classified into low, moderate, and high potential zones; 31.79733 $ km^{2} $ (1.143461%) of the district falls in low groundwater potential zone, 2251.19 $ km^{2} $ (80.95484%) in moderate potential, and 497.81 $ km^{2} $ (17.9017%) in high potential zone. High groundwater potential zones are correlated with agricultural land use, moderate slopes, and favourable geomorphology, whereas low groundwater potential zones are associated with dense vegetation, steep slopes, and unfavourable geomorphology. Using groundwater level data, the ROC curve approach was used to evaluate the accuracy of the groundwater potential zones map. The generated maps of groundwater potential can be helpful in groundwater resource management and planning, helping to identify the best locations for digging new wells, maximising the usage of existing wells, and putting into practice effective groundwater management strategies. Groundwater potential (dpeaa)DE-He213 Narmada district (dpeaa)DE-He213 AHP (dpeaa)DE-He213 Weighted overlay analysis (dpeaa)DE-He213 ROC accuracy assessment (dpeaa)DE-He213 Kakwani, Dhara verfasserin aut Singh, Neha verfasserin aut Enthalten in Water conservation science and engineering Springer Nature Singapore, 2016 9(2024), 1 vom: 14. Feb. (DE-627)858508001 (DE-600)2854650-7 2364-5687 nnns volume:9 year:2024 number:1 day:14 month:02 https://dx.doi.org/10.1007/s41101-024-00238-y X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2024 1 14 02 |
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10.1007/s41101-024-00238-y doi (DE-627)SPR054775809 (SPR)s41101-024-00238-y-e DE-627 ger DE-627 rakwb eng 333.7 VZ 333.7 VZ Chavda, Zeel K. verfasserin aut Delineation of Groundwater Potential Zones in Narmada District Gujarat (India) Using GIS and AHP Techniques 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract A detailed study was conducted to identify groundwater potential zones in Gujarat’s Narmada district using the analytical hierarchy process (AHP) based on GIS and eleven thematic layers, including annual rainfall, slope, soil, curvature, drainage density, distance from river, lineament density, land use/land cover (LULC), geology, geomorphology, and topographic wetness index (TWI). The study’s findings demonstrate that a number of factors, including lithology, slope, and land use/land cover, have an influence on the potential for groundwater in the Narmada district. The total district was classified into low, moderate, and high potential zones; 31.79733 $ km^{2} $ (1.143461%) of the district falls in low groundwater potential zone, 2251.19 $ km^{2} $ (80.95484%) in moderate potential, and 497.81 $ km^{2} $ (17.9017%) in high potential zone. High groundwater potential zones are correlated with agricultural land use, moderate slopes, and favourable geomorphology, whereas low groundwater potential zones are associated with dense vegetation, steep slopes, and unfavourable geomorphology. Using groundwater level data, the ROC curve approach was used to evaluate the accuracy of the groundwater potential zones map. The generated maps of groundwater potential can be helpful in groundwater resource management and planning, helping to identify the best locations for digging new wells, maximising the usage of existing wells, and putting into practice effective groundwater management strategies. Groundwater potential (dpeaa)DE-He213 Narmada district (dpeaa)DE-He213 AHP (dpeaa)DE-He213 Weighted overlay analysis (dpeaa)DE-He213 ROC accuracy assessment (dpeaa)DE-He213 Kakwani, Dhara verfasserin aut Singh, Neha verfasserin aut Enthalten in Water conservation science and engineering Springer Nature Singapore, 2016 9(2024), 1 vom: 14. Feb. (DE-627)858508001 (DE-600)2854650-7 2364-5687 nnns volume:9 year:2024 number:1 day:14 month:02 https://dx.doi.org/10.1007/s41101-024-00238-y X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2024 1 14 02 |
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10.1007/s41101-024-00238-y doi (DE-627)SPR054775809 (SPR)s41101-024-00238-y-e DE-627 ger DE-627 rakwb eng 333.7 VZ 333.7 VZ Chavda, Zeel K. verfasserin aut Delineation of Groundwater Potential Zones in Narmada District Gujarat (India) Using GIS and AHP Techniques 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract A detailed study was conducted to identify groundwater potential zones in Gujarat’s Narmada district using the analytical hierarchy process (AHP) based on GIS and eleven thematic layers, including annual rainfall, slope, soil, curvature, drainage density, distance from river, lineament density, land use/land cover (LULC), geology, geomorphology, and topographic wetness index (TWI). The study’s findings demonstrate that a number of factors, including lithology, slope, and land use/land cover, have an influence on the potential for groundwater in the Narmada district. The total district was classified into low, moderate, and high potential zones; 31.79733 $ km^{2} $ (1.143461%) of the district falls in low groundwater potential zone, 2251.19 $ km^{2} $ (80.95484%) in moderate potential, and 497.81 $ km^{2} $ (17.9017%) in high potential zone. High groundwater potential zones are correlated with agricultural land use, moderate slopes, and favourable geomorphology, whereas low groundwater potential zones are associated with dense vegetation, steep slopes, and unfavourable geomorphology. Using groundwater level data, the ROC curve approach was used to evaluate the accuracy of the groundwater potential zones map. The generated maps of groundwater potential can be helpful in groundwater resource management and planning, helping to identify the best locations for digging new wells, maximising the usage of existing wells, and putting into practice effective groundwater management strategies. Groundwater potential (dpeaa)DE-He213 Narmada district (dpeaa)DE-He213 AHP (dpeaa)DE-He213 Weighted overlay analysis (dpeaa)DE-He213 ROC accuracy assessment (dpeaa)DE-He213 Kakwani, Dhara verfasserin aut Singh, Neha verfasserin aut Enthalten in Water conservation science and engineering Springer Nature Singapore, 2016 9(2024), 1 vom: 14. Feb. (DE-627)858508001 (DE-600)2854650-7 2364-5687 nnns volume:9 year:2024 number:1 day:14 month:02 https://dx.doi.org/10.1007/s41101-024-00238-y X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2024 1 14 02 |
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10.1007/s41101-024-00238-y doi (DE-627)SPR054775809 (SPR)s41101-024-00238-y-e DE-627 ger DE-627 rakwb eng 333.7 VZ 333.7 VZ Chavda, Zeel K. verfasserin aut Delineation of Groundwater Potential Zones in Narmada District Gujarat (India) Using GIS and AHP Techniques 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract A detailed study was conducted to identify groundwater potential zones in Gujarat’s Narmada district using the analytical hierarchy process (AHP) based on GIS and eleven thematic layers, including annual rainfall, slope, soil, curvature, drainage density, distance from river, lineament density, land use/land cover (LULC), geology, geomorphology, and topographic wetness index (TWI). The study’s findings demonstrate that a number of factors, including lithology, slope, and land use/land cover, have an influence on the potential for groundwater in the Narmada district. The total district was classified into low, moderate, and high potential zones; 31.79733 $ km^{2} $ (1.143461%) of the district falls in low groundwater potential zone, 2251.19 $ km^{2} $ (80.95484%) in moderate potential, and 497.81 $ km^{2} $ (17.9017%) in high potential zone. High groundwater potential zones are correlated with agricultural land use, moderate slopes, and favourable geomorphology, whereas low groundwater potential zones are associated with dense vegetation, steep slopes, and unfavourable geomorphology. Using groundwater level data, the ROC curve approach was used to evaluate the accuracy of the groundwater potential zones map. The generated maps of groundwater potential can be helpful in groundwater resource management and planning, helping to identify the best locations for digging new wells, maximising the usage of existing wells, and putting into practice effective groundwater management strategies. Groundwater potential (dpeaa)DE-He213 Narmada district (dpeaa)DE-He213 AHP (dpeaa)DE-He213 Weighted overlay analysis (dpeaa)DE-He213 ROC accuracy assessment (dpeaa)DE-He213 Kakwani, Dhara verfasserin aut Singh, Neha verfasserin aut Enthalten in Water conservation science and engineering Springer Nature Singapore, 2016 9(2024), 1 vom: 14. Feb. (DE-627)858508001 (DE-600)2854650-7 2364-5687 nnns volume:9 year:2024 number:1 day:14 month:02 https://dx.doi.org/10.1007/s41101-024-00238-y X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2024 1 14 02 |
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10.1007/s41101-024-00238-y doi (DE-627)SPR054775809 (SPR)s41101-024-00238-y-e DE-627 ger DE-627 rakwb eng 333.7 VZ 333.7 VZ Chavda, Zeel K. verfasserin aut Delineation of Groundwater Potential Zones in Narmada District Gujarat (India) Using GIS and AHP Techniques 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract A detailed study was conducted to identify groundwater potential zones in Gujarat’s Narmada district using the analytical hierarchy process (AHP) based on GIS and eleven thematic layers, including annual rainfall, slope, soil, curvature, drainage density, distance from river, lineament density, land use/land cover (LULC), geology, geomorphology, and topographic wetness index (TWI). The study’s findings demonstrate that a number of factors, including lithology, slope, and land use/land cover, have an influence on the potential for groundwater in the Narmada district. The total district was classified into low, moderate, and high potential zones; 31.79733 $ km^{2} $ (1.143461%) of the district falls in low groundwater potential zone, 2251.19 $ km^{2} $ (80.95484%) in moderate potential, and 497.81 $ km^{2} $ (17.9017%) in high potential zone. High groundwater potential zones are correlated with agricultural land use, moderate slopes, and favourable geomorphology, whereas low groundwater potential zones are associated with dense vegetation, steep slopes, and unfavourable geomorphology. Using groundwater level data, the ROC curve approach was used to evaluate the accuracy of the groundwater potential zones map. The generated maps of groundwater potential can be helpful in groundwater resource management and planning, helping to identify the best locations for digging new wells, maximising the usage of existing wells, and putting into practice effective groundwater management strategies. Groundwater potential (dpeaa)DE-He213 Narmada district (dpeaa)DE-He213 AHP (dpeaa)DE-He213 Weighted overlay analysis (dpeaa)DE-He213 ROC accuracy assessment (dpeaa)DE-He213 Kakwani, Dhara verfasserin aut Singh, Neha verfasserin aut Enthalten in Water conservation science and engineering Springer Nature Singapore, 2016 9(2024), 1 vom: 14. Feb. (DE-627)858508001 (DE-600)2854650-7 2364-5687 nnns volume:9 year:2024 number:1 day:14 month:02 https://dx.doi.org/10.1007/s41101-024-00238-y X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2024 1 14 02 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract A detailed study was conducted to identify groundwater potential zones in Gujarat’s Narmada district using the analytical hierarchy process (AHP) based on GIS and eleven thematic layers, including annual rainfall, slope, soil, curvature, drainage density, distance from river, lineament density, land use/land cover (LULC), geology, geomorphology, and topographic wetness index (TWI). The study’s findings demonstrate that a number of factors, including lithology, slope, and land use/land cover, have an influence on the potential for groundwater in the Narmada district. The total district was classified into low, moderate, and high potential zones; 31.79733 $ km^{2} $ (1.143461%) of the district falls in low groundwater potential zone, 2251.19 $ km^{2} $ (80.95484%) in moderate potential, and 497.81 $ km^{2} $ (17.9017%) in high potential zone. High groundwater potential zones are correlated with agricultural land use, moderate slopes, and favourable geomorphology, whereas low groundwater potential zones are associated with dense vegetation, steep slopes, and unfavourable geomorphology. Using groundwater level data, the ROC curve approach was used to evaluate the accuracy of the groundwater potential zones map. 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Chavda, Zeel K. |
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Chavda, Zeel K. ddc 333.7 misc Groundwater potential misc Narmada district misc AHP misc Weighted overlay analysis misc ROC accuracy assessment Delineation of Groundwater Potential Zones in Narmada District Gujarat (India) Using GIS and AHP Techniques |
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333.7 VZ Delineation of Groundwater Potential Zones in Narmada District Gujarat (India) Using GIS and AHP Techniques Groundwater potential (dpeaa)DE-He213 Narmada district (dpeaa)DE-He213 AHP (dpeaa)DE-He213 Weighted overlay analysis (dpeaa)DE-He213 ROC accuracy assessment (dpeaa)DE-He213 |
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ddc 333.7 misc Groundwater potential misc Narmada district misc AHP misc Weighted overlay analysis misc ROC accuracy assessment |
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ddc 333.7 misc Groundwater potential misc Narmada district misc AHP misc Weighted overlay analysis misc ROC accuracy assessment |
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Delineation of Groundwater Potential Zones in Narmada District Gujarat (India) Using GIS and AHP Techniques |
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Delineation of Groundwater Potential Zones in Narmada District Gujarat (India) Using GIS and AHP Techniques |
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delineation of groundwater potential zones in narmada district gujarat (india) using gis and ahp techniques |
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Delineation of Groundwater Potential Zones in Narmada District Gujarat (India) Using GIS and AHP Techniques |
| abstract |
Abstract A detailed study was conducted to identify groundwater potential zones in Gujarat’s Narmada district using the analytical hierarchy process (AHP) based on GIS and eleven thematic layers, including annual rainfall, slope, soil, curvature, drainage density, distance from river, lineament density, land use/land cover (LULC), geology, geomorphology, and topographic wetness index (TWI). The study’s findings demonstrate that a number of factors, including lithology, slope, and land use/land cover, have an influence on the potential for groundwater in the Narmada district. The total district was classified into low, moderate, and high potential zones; 31.79733 $ km^{2} $ (1.143461%) of the district falls in low groundwater potential zone, 2251.19 $ km^{2} $ (80.95484%) in moderate potential, and 497.81 $ km^{2} $ (17.9017%) in high potential zone. High groundwater potential zones are correlated with agricultural land use, moderate slopes, and favourable geomorphology, whereas low groundwater potential zones are associated with dense vegetation, steep slopes, and unfavourable geomorphology. Using groundwater level data, the ROC curve approach was used to evaluate the accuracy of the groundwater potential zones map. The generated maps of groundwater potential can be helpful in groundwater resource management and planning, helping to identify the best locations for digging new wells, maximising the usage of existing wells, and putting into practice effective groundwater management strategies. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract A detailed study was conducted to identify groundwater potential zones in Gujarat’s Narmada district using the analytical hierarchy process (AHP) based on GIS and eleven thematic layers, including annual rainfall, slope, soil, curvature, drainage density, distance from river, lineament density, land use/land cover (LULC), geology, geomorphology, and topographic wetness index (TWI). The study’s findings demonstrate that a number of factors, including lithology, slope, and land use/land cover, have an influence on the potential for groundwater in the Narmada district. The total district was classified into low, moderate, and high potential zones; 31.79733 $ km^{2} $ (1.143461%) of the district falls in low groundwater potential zone, 2251.19 $ km^{2} $ (80.95484%) in moderate potential, and 497.81 $ km^{2} $ (17.9017%) in high potential zone. High groundwater potential zones are correlated with agricultural land use, moderate slopes, and favourable geomorphology, whereas low groundwater potential zones are associated with dense vegetation, steep slopes, and unfavourable geomorphology. Using groundwater level data, the ROC curve approach was used to evaluate the accuracy of the groundwater potential zones map. The generated maps of groundwater potential can be helpful in groundwater resource management and planning, helping to identify the best locations for digging new wells, maximising the usage of existing wells, and putting into practice effective groundwater management strategies. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract A detailed study was conducted to identify groundwater potential zones in Gujarat’s Narmada district using the analytical hierarchy process (AHP) based on GIS and eleven thematic layers, including annual rainfall, slope, soil, curvature, drainage density, distance from river, lineament density, land use/land cover (LULC), geology, geomorphology, and topographic wetness index (TWI). The study’s findings demonstrate that a number of factors, including lithology, slope, and land use/land cover, have an influence on the potential for groundwater in the Narmada district. The total district was classified into low, moderate, and high potential zones; 31.79733 $ km^{2} $ (1.143461%) of the district falls in low groundwater potential zone, 2251.19 $ km^{2} $ (80.95484%) in moderate potential, and 497.81 $ km^{2} $ (17.9017%) in high potential zone. High groundwater potential zones are correlated with agricultural land use, moderate slopes, and favourable geomorphology, whereas low groundwater potential zones are associated with dense vegetation, steep slopes, and unfavourable geomorphology. Using groundwater level data, the ROC curve approach was used to evaluate the accuracy of the groundwater potential zones map. The generated maps of groundwater potential can be helpful in groundwater resource management and planning, helping to identify the best locations for digging new wells, maximising the usage of existing wells, and putting into practice effective groundwater management strategies. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Delineation of Groundwater Potential Zones in Narmada District Gujarat (India) Using GIS and AHP Techniques |
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https://dx.doi.org/10.1007/s41101-024-00238-y |
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Kakwani, Dhara Singh, Neha |
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10.1007/s41101-024-00238-y |
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2024-07-10T07:10:04.204Z |
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| score |
7.1673374 |