Quantifying spatio-temporal variations in heavy metal enormity of groundwaters from Ankaleshwar area: GIS-based Normalized Difference Dispersal Index mapping

CURRENT SCIENCE(2008)

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Abstract
Heavy metal dispersion in groundwaters of Ankaleshwar Industrial Estate, south Gujarat displays colossal temporal variability in both degree and space. In order to facilitate the quantitative measure for site-specific variations, Normalized Difference Dispersal Index (NDDI) maps for five environmentally sensitive heavy metals (Ni, Zn, Cu, Mn and Pb) were generated by clutching geochemical analyses and GIS-based raster images. Median NDDI value for Ni (0.92) illustrates utmost accretion, whereas that for Zn (-0.58) shows absolute dilution. Widespread enrichment is exhibited by Cu (0.87) and Mn (0.84), while Pb (-0.01) shows inconsequential accretion or attrition. Areas of high inconsistencies were linked to surface-polluting sources by overlaying spatial data on these maps. NDDI mapping is functional for evaluation and comparative assessment of spatio-temporal variations in polymetallic determinants. Frequency distribution and inter-element correlation analyses of the dataset display coherence with the procedure.
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Key words
groundwater,heavy metals,Normalized Difference Dispersal Index,spatio-temporal variations
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