Evaluation of groundwater quality in and around Peenya industrial area of Bangalore, South India using GIS techniques

Environ Monit Assess. 2012 Jul;184(7):4067-77. doi: 10.1007/s10661-011-2244-y. Epub 2011 Aug 11.

Abstract

Groundwater resource forms a significant component of the urban water supply. Declining groundwater levels in Bangalore Urban District is generally due to continuous overexploitation during the last two decades or more. There is a tremendous increase in demand in the city for good quality groundwater resource. The present study monitors the groundwater quality using geographic information system (GIS) techniques for a part of Bangalore metropolis. Thematic maps for the study area are prepared by visual interpretation of SOI toposheets on 1:50,000 scale using MapInfo software. Physicochemical analysis data of the groundwater samples collected at predetermined locations form the attribute database for the study, based on which spatial distribution maps of major water quality parameters are prepared using MapInfo GIS software. Water quality index was then calculated by considering the following water quality parameters--pH, total dissolved solids, total hardness, calcium hardness, magnesium hardness, alkalinity, chloride, nitrate and sulphate to find the suitability of water for drinking purpose. The water quality index for these samples ranged from 49 to 502. The high value of water quality index reveals that most of the study area is highly contaminated due to excessive concentration of one or more water quality parameters and that the groundwater needs pretreatment before consumption.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Chlorides / analysis
  • Environmental Monitoring / instrumentation
  • Environmental Monitoring / methods*
  • Geographic Information Systems*
  • Groundwater / chemistry*
  • India
  • Industry / statistics & numerical data
  • Nitrates / analysis
  • Sulfates / analysis
  • Water Pollutants, Chemical / analysis*
  • Water Pollution, Chemical / statistics & numerical data
  • Water Supply / statistics & numerical data

Substances

  • Chlorides
  • Nitrates
  • Sulfates
  • Water Pollutants, Chemical