Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 41, Pages: 1-6
Shweta Kumari1*, Ramakar Jha1 , Vivekanand Singh1 , Klaus Baier2 and M. K. Sinha2
1Department of Civil Engineering, NIT, Patna - 800005, Bihar, India; [email protected], [email protected], [email protected] 2Department of Engineering Geology and Hydrogeology, RWTH Aachen University, Germany; [email protected],[email protected]
*Author for correspondence
Shweta Kumari Department of Civil Engineering, NIT, Patna - 800005, Bihar, India; [email protected]
Objectives: This study aims at the vulnerability assessment of groundwater in Raipur and Naya Raipur, Chhattisgarh, India, and to identify areas where vulnerability of groundwater to contamination is the most. Methods: A vulnerability map has been developed using SINTACS model in order to identify areas where vulnerability of groundwater to contamination is the most. In this analysis, vulnerability index is calculated by considering different hydrogeological parameters such as water table depth, net recharge, unsaturated conditions, soil media, aquifer media, hydraulic conductivity and topographic slope. All the parameters used in this study have been prepared, classified, weighted and integrated in a Geographic Information System (GIS) environment. Findings: The value of vulnerability index estimated lies between 121 to 176.Further, result shows that out of total area, 0.26% of the area indicates very low vulnerability 11.58% indicates low vulnerability 81.35% indicates moderate vulnerability and 6.81% of area indicates high vulnerability. It means majority of the study area exhibit moderate vulnerability. The study produces an effective tool for local authorities who manage and monitor the ground water resources. Novelty: This paper deals with a new approach towards vulnerability assessment. Instead of the conventional statistical methods, this work uses the SINTACS method which is a much improved method and hence provides much more probable values of vulnerability indices than those obtained from DRASTIC methods.
Keywords: GIS, Groundwater, SINTACS Model, Vulnerability
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