Morphometric analysis is the mathematical analysis of a watershed. Groundwater storage is directly related to the morphometry of a watershed. Remote sensing and GIS gives an opportunity for the scientific and empirical investigation towards groundwater potentiality. The utilization of RS/GIS for scientific investigation into ground water potentiality is quite innovative for the hilly state of Mizoram of India, which faces acute water shortage during the winter season. Vanvate Lui basin of Mizoram was thus chosen for the present study. It is an important source of water for a significant number of rural villages like Zote, Chhipphir, and Lungmovi. The present study analyzed the groundwater potentiality of Vanvate lui basin and undertook groundwater potentiality zonation of Vanvate lui basin using eTOPSIS model. eTOPSIS is an intregated knowledge-based multi-criteria decision-making model assimilating TOPSIS objective weighting method and Shannon Entropy. Areal, relief and linear morphometric aspects of Vanvate lui basin were extracted from ALOS PALSAR DEM for conducting MCDM. It was found that sub-basins 1, 6, 8 and 2 have high potentiality for groundwater storage. Similar, studies were also done on the Donor basin adjacent to the study area for model validation. After applying e-TOPSIS in the Donor basin, it was found that the result of the study matches the groundwater data of Donor basin as provided by the PHE department, Mizoram. The zones found to be under high potential of groundwater in the sub-basins 14, 9, 2, 11, 6 and 5 are the ones where the ground water depth is less than 70 meters as measured by the ground water department of Mizoram state. The present study will help the policymakers, village governance system, district development authorities and P.W.D of Mizoram to take proper steps towards developing the rural life quality, identifying suitable groundwater storage and ensuring proper steps towards watershed management. It is hoped that the research work will help in mitigating the water scarcity problem of the study area during the dry winter season.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.