Open Access Open Access  Restricted Access Subscription Access

Groundwater Vulnerability Assessment using SINTACS Model and GIS in Raipur and Naya Raipur, Chhattisgarh, India


Affiliations
1 Department of Civil Engineering, NIT, Patna - 800005, Bihar, India
2 Department of Engineering Geology and Hydrogeology, RWTH Aachen University, Germany
 

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.
User

Abstract Views: 146

PDF Views: 0




  • Groundwater Vulnerability Assessment using SINTACS Model and GIS in Raipur and Naya Raipur, Chhattisgarh, India

Abstract Views: 146  |  PDF Views: 0

Authors

Shweta Kumari
Department of Civil Engineering, NIT, Patna - 800005, Bihar, India
Ramakar Jha
Department of Civil Engineering, NIT, Patna - 800005, Bihar, India
Vivekanand Singh
Department of Civil Engineering, NIT, Patna - 800005, Bihar, India
Klaus Baier
Department of Engineering Geology and Hydrogeology, RWTH Aachen University, Germany
M. K. Sinha
Department of Engineering Geology and Hydrogeology, RWTH Aachen University, Germany

Abstract


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.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i41%2F124724