Delineation of groundwater potential zones in Karha river basin, Maharashtra, India, using AHP and geospatial techniques

作者: Amit Bera , Bhabani Prasad Mukhopadhyay , Swarnali Barua

DOI: 10.1007/S12517-020-05702-2

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摘要: Groundwater is a life-sustaining resource catering the daily water requirements of mankind, aids in industrial development, influences agricultural activity, and maintains ecological balance. The present study was carried out Karha river basin, Maharashtra State, having an area 1314.98 km2. In hydro-geological research, for exploration groundwater resources, integration remote sensing data GIS plays remarkable role monitoring, assessing, conserving resources management development. A total ten thematic layers such as geomorphology, geology, land use/land cover, drainage density, slope angle, lineament rainfall distribution map, curvature, topographical wetness index, soil map were integrated into platform, using spatial analyst tool Arc 10.0 to delineate Ground Water Potential Zones basin area. analytical hierarchy process (AHP) technique used determine weighted value each parameter their sub-parameters, based on relative importance influencing factors recharge. final potential zonation categorized four classes namely, poor, moderate, good, excellent zones. western part particularly Ghorawadi, Garade, Saswad regions, have been identified zones exploration. result has shown about 21.96% (285.43 km2) 28.82% (374.49 km2) falls under “excellent” “good” zone, respectively, whereas 10.81% (140.46 km2) poor zone.

参考文章(80)
KJ Beven, MJ Kirkby, A physically based, variable contributing area model of basin hydrology Hydrological Sciences Bulletin. ,vol. 24, pp. 43- 69 ,(1979)
Bojan Srdjevic, Yvonilde Dantas Pinto Medeiros, None, Fuzzy AHP Assessment of Water Management Plans Water Resources Management. ,vol. 22, pp. 877- 894 ,(2008) , 10.1007/S11269-007-9197-5
Chander Kumar Singh, Satyanarayan Shashtri, Amit Singh, Saumitra Mukherjee, Quantitative modeling of groundwater in Satluj River basin of Rupnagar district of Punjab using remote sensing and geographic information system Environmental Earth Sciences. ,vol. 62, pp. 871- 881 ,(2011) , 10.1007/S12665-010-0574-7
Sheelabhadra Mohanty, Madan K. Jha, Ashwani Kumar, K. P. Sudheer, Artificial Neural Network Modeling for Groundwater Level Forecasting in a River Island of Eastern India Water Resources Management. ,vol. 24, pp. 1845- 1865 ,(2010) , 10.1007/S11269-009-9527-X
Salwa Farouk Elbeih, An overview of integrated remote sensing and GIS for groundwater mapping in Egypt Ain Shams Engineering Journal. ,vol. 6, pp. 1- 15 ,(2015) , 10.1016/J.ASEJ.2014.08.008
M. Masetti, S. Poli, S. Sterlacchini, The Use of the Weights-of-Evidence Modeling Technique to Estimate the Vulnerability of Groundwater to Nitrate Contamination Natural Resources Research. ,vol. 16, pp. 109- 119 ,(2007) , 10.1007/S11053-007-9045-6
K. J. BEVEN, M. J. KIRKBY, A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant Hydrological Sciences Journal-journal Des Sciences Hydrologiques. ,vol. 24, pp. 43- 69 ,(1979) , 10.1080/02626667909491834
Samy Ismail Elmahdy, Mohamed Mostafa Mohamed, Probabilistic frequency ratio model for groundwater potential mapping in Al Jaww plain, UAE Arabian Journal of Geosciences. ,vol. 8, pp. 2405- 2416 ,(2015) , 10.1007/S12517-014-1327-9
Shalu Mishra Shukla, Spatial Analysis for Groundwater Potential Zones using GIS and Remote Sensing in the Tons Basin of Allahabad District, Uttar Pradesh, (India) Proceedings of the National Academy of Sciences, India Section A: Physical Sciences. ,vol. 84, pp. 587- 593 ,(2014) , 10.1007/S40010-014-0157-1