American Journal of Civil and Environmental Engineering  
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A Comprehensive Assessment of Spatial Interpolation Method Using IDW Technique for the Groundwater Quality Evaluation of an Industrial Area in Bangalore, India
American Journal of Civil and Environmental Engineering
Vol.3 , No. 4, Publication Date: Jul. 19, 2018, Page: 68-82
2288 Views Since July 19, 2018, 1348 Downloads Since Jul. 19, 2018

Bangalore Shankar, Department of Civil Engineering, East Point College of Engineering and Technology, Bangalore, India.


 Shobha, Department of Civil Engineering, East Point College of Engineering and Technology, Bangalore, India.


Assessment and mapping of quality of groundwater is extremely important because the physical and chemical characteristics of groundwater determine its suitability for agricultural, industrial and domestic usages. Geographic information system (GIS) is an efficient and effective tool in solving problems where spatial data are important. Geographical Information System can be an effective and powerful tool for mapping, monitoring, modelling and assessing water quality, and detecting environmental changes, determining water availability, preventing flooding and managing water re-sources on a local or regional scale. In the present study the spatial variations in ground water quality is carried out in the Peenya industrial area of Bangalore district in India. This interpolation has been done by using the Inverse Distance Weighting (IDW) technique. In the present study ground water samples were collected from 30 locations in the study area. The ground water quality information maps of the entire study area have been prepared using GIS spatial interpolation techniques for all the parameters during both the pre and post-monsoon seasons of 2017. The results obtained in the study and the spatial database established in GIS will be helpful for monitoring and managing ground water pollution in study area. The water quality index for the groundwaters have also been calculated and it is found that WQI exceeds 100 (the limit for safe drinking water) at 12 out of the 30 sampling stations during pre-monsoon and 13 stations during post-monsoon, that is, 40% and 43.33% of the samples during these seasons are deemed unfit for potable purpose without suitable treatment.


Geographic Information System, Groundwater, Inverse Distance Weighting, Quality, Spatial Distribution, Water Quality Index


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