Abstract
The selected study area, Mettupalayam, India is an important trading hub and transit center for hill products. The hydrochemistry of the groundwater is deteriorated in the past years, but the literature revealed that the groundwater pollution in the study area was not concentrated. Sixty-two discrete locations were selected in the study area. The ground water samples were collected, and the Electrical Conductivity is analyzed, as it is the important irrigation parameter. The spatial interpolation technique such as Spline, Inverse Distance Weightage (IDW) and Kriging is used to predict the value of unknown location, from the known sample location. Cross validation is performed using univariate statistical analysis for the predicted surface to choose the best model. The evaluation of interpolation method by univariate statistical analysis indicated the Root Mean Square Error is least in Kriging method; it indicates Kriging as the best method for interpolating surfaces followed by IDW and Spline.
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Shyamala, G., Arun Kumar, B., Manvitha, S., Vinay Raj, T. (2020). Assessment of Spatial Interpolation Techniques on Groundwater Contamination. In: Satapathy, S., Raju, K., Molugaram, K., Krishnaiah, A., Tsihrintzis, G. (eds) International Conference on Emerging Trends in Engineering (ICETE). Learning and Analytics in Intelligent Systems, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-030-24314-2_33
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DOI: https://doi.org/10.1007/978-3-030-24314-2_33
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