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Groundwater vulnerability to pollution mapping of Ranchi district using GIS.
Krishna, R; Iqbal, J; Gorai, A K; Pathak, G; Tuluri, F; Tchounwou, P B.
Afiliación
  • Krishna R; Environmental Science and Engineering Group, Birla Institute of Technology Mesra, Ranchi 835215, India.
  • Iqbal J; Environmental Science and Engineering Group, Birla Institute of Technology Mesra, Ranchi 835215, India.
  • Gorai AK; Environmental Science and Engineering Group, Birla Institute of Technology Mesra, Ranchi 835215, India.
  • Pathak G; Environmental Science and Engineering Group, Birla Institute of Technology Mesra, Ranchi 835215, India.
  • Tuluri F; Department of Technology, Jackson State University, Jackson, MS 39217, USA.
  • Tchounwou PB; Department of Biology, Jackson State University, Jackson, MS 39217, USA.
Appl Water Sci ; 5(4): 345-358, 2015 Dec.
Article en En | MEDLINE | ID: mdl-26557470
ABSTRACT
Groundwater pollution due to anthropogenic activities is one of the major environmental problems in urban and industrial areas. The present study demonstrates the integrated approach with GIS and DRASTIC model to derive a groundwater vulnerability to pollution map. The model considers the seven hydrogeological factors [Depth to water table (D), net recharge (R), aquifer media (A), soil media (S), topography or slope (T), impact of vadose zone (I) and hydraulic Conductivity(C)] for generating the groundwater vulnerability to pollution map. The model was applied for assessing the groundwater vulnerability to pollution in Ranchi district, Jharkhand, India. The model was validated by comparing the model output (vulnerability indices) with the observed nitrate concentrations in groundwater in the study area. The reason behind the selection of nitrate is that the major sources of nitrate in groundwater are anthropogenic in nature. Groundwater samples were collected from 30 wells/tube wells distributed in the study area. The samples were analyzed in the laboratory for measuring the nitrate concentrations in groundwater. A sensitivity analysis of the integrated model was performed to evaluate the influence of single parameters on groundwater vulnerability index. New weights were computed for each input parameters to understand the influence of individual hydrogeological factors in vulnerability indices in the study area. Aquifer vulnerability maps generated in this study can be used for environmental planning and groundwater management.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Appl Water Sci Año: 2015 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Appl Water Sci Año: 2015 Tipo del documento: Article País de afiliación: India