Abstract
Groundwater is used for a variety of purposes, including irrigation, industrial, drinking, and manufacturing. Assessment and mapping of quality of groundwater is an important because the physical and chemical characteristics of groundwater determine its suitability for agricultural, industrial and domestic usages. The present study area i.e, District Anantnag lies in southern part of Jammu and Kashmir and is characterized by undulating topography, rugged mountains. The habitants of the study area mainly depend on ground water resources viz; springs and tube wells. The present study attempts to explore the best spatial interpolation technique that will best represent the actual ground water quality of district anantnag. In the present study various maps representing various physio-chemcial properties of ground water quality were generated using spatial interpolation techniques viz; Inverse Distance Weighted (IDW) and Nearest Neighbor (NN). Out of total 92 ground water samples, 8 points were preserved for cross validation between the two interpolation techniques using Root Mean Square Error (RMSE) test. Finally it can be conclude that IDW is the most preferable technique for spatial interpolation measurement of ground water quality data.
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