Evaluation of groundwater quality in and around Peenya industrial area of Bangalore, South India using GIS techniques.
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.
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ABSTRACT: Groundwater potential zones were demarcated with the help of remote sensing and Geographic Informa-tion System (GIS) techniques. The study area is composed rocks of Archaean age and charnockite dominated over others. The parameters considered for identifying the groundwater potential zone of geology slope, drainage density, geomorphic units and lineament density were generated using the resource sat (IRS P6 LISS IV MX) data and survey of India (SOI) toposheets of scale 1:50000 and integrated them with an inverse distance weighted (IDW) model based on GIS data to identify the ground-water potential of the study area. Suitable weightage factors were assigned for each category of these para-meters. For the various geomorphic units weightage factors were assigned based on their capability to store ground water. This procedure was repeated for all the other layers and resultant layers were reclassifi ed. The reclassi fi ed layers were then combined to demarcate zones as very good, good, moderate, low, and poor. This groundwater potent iality information could be used for e ff ective identification of suitable locations for extraction of potable water for rural populationsFrontiers of Earth Science in China 12/2012;