Abstract
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.
Highlights
Groundwater has become an essential commodity in recent decades due to industrialization and unplanned urbanization (Kumari et al, 2012)
The main objective of this investigation was to identify the spatial variability of groundwater quality parameters using Inverse Distance Weighted (IDW) technique for the major physical and chemical parameters of the groundwater samples in the NE district of Punjab, India
Result And Discussion: Spatial variation of groundwater quality parameters: In this study, IDW geosaptial interpolation modelling was used for calculating the spatial distribution for each groundwater quality parameter for drinking water purposes
Summary
Groundwater has become an essential commodity in recent decades due to industrialization and unplanned urbanization (Kumari et al, 2012). The quality of groundwater is important as its quantity owing to the suitability of water for various purposes (Yidana and Yidana, 2010). The chemical properties of groundwater depend upon the chemistry of water in the recharge area as well as on the different geochemical processes that are occurring in the subsurface These geochemical processes are responsible for the seasonal and spatial variations in groundwater chemistry (Matthess, 1982). Deterministic interpolation techniques create a surface from measured points, based on their extent of similarity [e.g. inverse distance weighted (IDW)] In this present study, The main objective of this investigation was to identify the spatial variability of groundwater quality parameters using IDW technique for the major physical and chemical parameters of the groundwater samples in the NE district of Punjab, India. There are two types of soils found in the region which are Reddish Chestnut soil and Tropical arid brown soil. (CGWB, 2007)
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