Groundwater prospect zonation using frequency ratio model for Banganga River Basin, India

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Groundwater prospective Zonation mapping and its reasonable improvement are a significant perspective in Banganga River Basin. In the present investigation, the groundwater imminent zones were depicted by receiving a recurrence proportion (FR) model Land use land cover, Geomorphology, Geology, Drainage Density, Lineament Density Aquifer, Slope, well location and water level were the Thematic layers considered for groundwater prospective Zonation mapping. There are 157 spring wells situated in the investigation Study area, of which all wells were considered for evolution rate and staying absolute wells considered for predict rate in the FR model. The last groundwater prospective map was characterized into five zones as Very Low, Low, Medium, High and Very high. Finally, appropriate destinations for Groundwater revitalize for practical groundwater the board were distinguished. The locales were chosen based on profundity of groundwater level, wellspring of spring great areas and inclination from regular spring to select invigorate wells.Groundwater Prospective zone ranging from 2.8068 to 12.3712. It classified into five prospective classes Very low classes cover 904.62 sq km, low zone covers 1220.76 sq km, medium zone covers 1821.46 sq km, High zone covers 2145.55sq km and very High zone covers 2687.57 sqkm.Areas with steeply inclined limestone terrains and younger tough rocks had moderate to weak groundwater potential. The groundwater is mostly not appropriate in the research region for consumption but may be used for irrigation under unique circumstances, on the basis of the chemical analysis. The general findings show that using remote sensing and GIS methods provides strong method for developing groundwater and developing the right exploration scheme.




Yadav, M. S., Kanga, S., & Singh, S. K. (2019). Groundwater prospect zonation using frequency ratio model for Banganga River Basin, India. International Journal of Engineering and Advanced Technology, 8(6), 806–814.

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