2019
DOI: 10.1016/j.hydres.2019.10.001
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Combination of GIS and fuzzy-AHP for delineating groundwater recharge potential zones in the critical Goghat-II block of West Bengal, India

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Cited by 94 publications
(36 citation statements)
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“…A variety of methods have been implemented for groundwater recharge zone mapping worldwide [24][25][26][27] such as frequency ratio (FR), certainty factor (CF), weights-of-evidence (WOE), fuzzy logic index models, analytical hierarchy process (AHP) and multi-influencing factors (MIF). In particular, the AHP and MIF techniques have gained attention as useful approaches for groundwater prediction for rapid, precise and cost-effective assessment of groundwater recharge potential [28][29][30][31][32][33] by significantly reducing the mathematical complexity of decision-making based on systematic expert judgment. AHP is a GIS-based multi-criteria decision-making (MCDM) technique for pairwise comparison of spatial parameters by assigning weights based on expert opinion [34][35][36][37].…”
Section: Introductionmentioning
confidence: 99%
“…A variety of methods have been implemented for groundwater recharge zone mapping worldwide [24][25][26][27] such as frequency ratio (FR), certainty factor (CF), weights-of-evidence (WOE), fuzzy logic index models, analytical hierarchy process (AHP) and multi-influencing factors (MIF). In particular, the AHP and MIF techniques have gained attention as useful approaches for groundwater prediction for rapid, precise and cost-effective assessment of groundwater recharge potential [28][29][30][31][32][33] by significantly reducing the mathematical complexity of decision-making based on systematic expert judgment. AHP is a GIS-based multi-criteria decision-making (MCDM) technique for pairwise comparison of spatial parameters by assigning weights based on expert opinion [34][35][36][37].…”
Section: Introductionmentioning
confidence: 99%
“…Se encuentran en la literatura varias metodologías, apoyadas normalmente en trabajos de modelación espacial con capas temáticas que tienen en cuenta diferente parámetros [28], en todo caso es importante definir procedimientos que permitan calificar cada capa teniendo en cuenta la integridad de las condiciones geológicas posibles en una región, en la que se pueden presentar rocas duras -con o sin alteración-(ígneas y metamórficas), rocas blandas (sedimentarias clásticas) y depósitos no consolidados [30] [31] [31]. En cada caso las características estructurales tienen manifestaciones diferentes que deben ser tenidas en cuenta al definir su peso en la recarga y en el flujo subterráneo.…”
Section: Discussionunclassified
“…Geographic information systems (GIS) and remote sensing (RS) techniques are very useful for modeling groundwater depletion, recharge and stress zones (Anderson et al 2015 ; Rodell et al 2009 ; Famiglietti et al 2011 ; Gleeson and Wada 2013 ; Voss et al 2013 ; Castle et al 2014 ; Da Costa et al 2019 ; Das and Pal 2019a , b ). In particular, satellite-based groundwater data provide a primary investigation of groundwater conditions.…”
Section: Introductionmentioning
confidence: 99%