Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 227-232, 2014
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-8/227/2014/
doi:10.5194/isprsarchives-XL-8-227-2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
27 Nov 2014
Geospatial modelling for groundwater quality mapping: a case study of Rupnagar district, Punjab, India
S. Sahoo, A. Kaur, P. Litoria, and B. Pateriya Punjab Remote Sensing Centre, Ludhiana, Punjab, India
Keywords: Groundwater Quality, Shallow Aquifer, Water Quality Parameters, IDW, Rupnagar, Punjab Abstract. Over period of time, the water usage and management is under stress for various reasons including pollution in both surface and subsurface. The groundwater quality decreases due to the solid waste from urban and industrial nodes, rapid use of insecticides and pesticides in agricultural practices. In this study, ground water quality maps for Rupnagar district of Punjab has been prepared using geospatial interpolation technique through Inverse Distance Weighted (IDW) approach. IDW technique has been used for major ground water quality parameters observed from the field samples like Arsenic, Hardness, pH, Iron, Fluoride, TDS, and Sulphate. To assess the ground water quality of the Rupnagar district, total 280 numbers of samples from various sources of tubewells for both pre and post monsoon have collected. Out of which, 80 to 113 samples found Iron with non potable limits ranging 0.3–1.1mg/l and 0.3–1.02mg/l according to BIS standard for both the seasons respectively. Chamkaur Sahib, Rupnagar, Morinda blocks have been found non potable limit of iron in both pre & post-monsoon. 11 to 52 samples in this region have sulphate with permissible limits in both the season ranging 200–400mg/l and 201–400mg/l. But arsenic had acceptable limit in both the season. Various parameters-wise ground water quality map is generated using the range values of drinking water quality to know the distribution of different parameters and diversification in the concentration of different elements. These maps are very much needful for human being to expand awareness among the people to maintain the Cleanness of water at their highest quality and purity levels to achieve a healthy life.
Conference paper (PDF, 2276 KB)


Citation: Sahoo, S., Kaur, A., Litoria, P., and Pateriya, B.: Geospatial modelling for groundwater quality mapping: a case study of Rupnagar district, Punjab, India, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 227-232, doi:10.5194/isprsarchives-XL-8-227-2014, 2014.

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