Geospatial Depiction of Groundwater Level Disparities on a Temporal Component over Portions of Cuddapah District, India Using Contemporary Geo Tools and Interrelated Statistics

Abstract

This paper mainly focuses on comparing methods such as Deterministic methods, Geostatistical methods and Interpolation methods in order to obtain a good fit to represent groundwater level disparities existed in the study area from 1996 to 2015. Inverse Distance Weighting, Global Polynomial Interpolation, Radial Basis Functions, Local Polynomial Interpolation, Kriging, Empirical Bayesian Kriging, Kernel smoothing and Diffusion Kernel were the methods tested for the present study. The data set procured contains 92 points and all these points were subjected to surface generation. It is observed that Radial Basis Functions provided a smoother and carried lowest root mean square error. The maps were produced for each method and represented.

Keywords: Water resources, Radial Basis Functions, IDW, Kriging, Deterministic methods, Geostatistics, Interpolation