Identification of groundwater recharge potential zones using AHP …
149
Fig. 9 Slope map of the area
of area is shown in Table 8. The table highlights that the recharge potential zones
are spread among all the blocks, though Baghmundi block has the best potential for
groundwater recharge having 21.9% and 27.76% of its area under very good and
good recharge potential zone, respectively.
In this study, a fuzzy-based method that maintains the relativistic influence of
various thematic layers and their corresponding classes affecting groundwater has
been adopted to predict groundwater recharge potential zones of the area. Five
blocks of Purulia district of West Bengal are chosen as the study area and eight
thematic layers, viz. geomorphology, land use, density of drainage network, soil
types, geology, rainfall, slope, and lineament density, have been incorporated for
estimating groundwater recharge potential zones. Results indicate that 12.13% of
149
Fig. 9 Slope map of the area
of area is shown in Table 8. The table highlights that the recharge potential zones
are spread among all the blocks, though Baghmundi block has the best potential for
groundwater recharge having 21.9% and 27.76% of its area under very good and
good recharge potential zone, respectively.
In this study, a fuzzy-based method that maintains the relativistic influence of
various thematic layers and their corresponding classes affecting groundwater has
been adopted to predict groundwater recharge potential zones of the area. Five
blocks of Purulia district of West Bengal are chosen as the study area and eight
thematic layers, viz. geomorphology, land use, density of drainage network, soil
types, geology, rainfall, slope, and lineament density, have been incorporated for
estimating groundwater recharge potential zones. Results indicate that 12.13% of