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Spatial distribution of metals in ground/surface waters in the Chandrapur district (Central India) and their plausible sources
Authors:D. R. Satapathy  P. R. Salve  Y. B. Katpatal
Affiliation:(1) Environmental Systems Design and Modelling Division, National Environmental Engineering Research Institute, Nehru Marg, Nagpur, 440 020, India;(2) Environmental Impact and Risk Assessment Division, National Environmental Engineering Research Institute, Nehru Marg, Nagpur, 440 020, India;(3) Department of Civil Engineering, Visvesvaraya National Institute of Technology (VNIT), Nagpur, India
Abstract:This study addresses a framework to evaluate and map environmental hazard with reference to spatial distribution of major and trace metal contamination and its relationship with lithology in Chandrapur district of Maharashtra, India using geospatial, statistical and GIS tools. In all, 208 ground water and 35 surface water samples were collected using global positioning system (GPS) synoptically with satellite imagery IRS P6 LISS III and were analyzed in ICP-AES. Analytical results reflect the presence of major and trace metals in ground water in terms of % as Fe (48%), Mn (12%), Zn (9%), Al (8%), Pb (7%), Cu (6%), Ni (4%), Cd (3%) and Cr (3%) of the total average concentration. The contamination is attributed to weathering of rocks and also to mining activities. Similarly, surface water contribution of major and trace metals was found as Al (47.8%), Fe (42.8%), Mn (5.5%), Zn (2.3%), Pb (0.56%), Ni (0.42%), Cu (0.16%), Cr (0.16%) and Cd (0.10%) of the total average concentration. Ordinary kriging interpolation method was adopted to assess the spatial distribution of different major and trace metals in groundwater samples with their best model fit variogram Classical statistical method like principal component analysis (PCA) was carried out in order to establish correlation between spatial pattern of metal contamination and geology of the area in GIS environment. Various surface and subsurface aspects like landuse/land cover, structural features, hydrogeology, topography etc were also considered to ascertain their impact to supplement the inference of the study.
Keywords:Mine environment  Major and trace metal contamination  Geostatistics  GIS  PCA  Geology
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