Comparison of deterministic and stochastic methods to predict spatial variation of groundwater depth

• DOI: 10.1007/s13201-014-0249-8
• Publication Date: 2014-11-15T06:38:37Z
• Authors: Partha Pratim Adh...; Ch. Jyotiprava Dash
• Keywords: Inverse distance weighting; Geostatistics; Interpolation

Accurate and reliable interpolation of groundwater depth over a region is pre-requisite for efficient planning management water resources. The performance two deterministic, such as inverse distance weighting (IDW) radial basis function (RBF) stochastic, i.e., ordinary kriging (OK) universal (UK) methods was compared to predict spatio-temporal variation depth. Pre- post-monsoon level data the year 2006 from 110 different locations Delhi were used. Analyses revealed that OK UK outperformed IDW method, performed better than OK. RBF also slightly underestimated both overestimated prediction table OK, yielded 27.52, 27.66 51.11 % lower RMSE, 27.49, 35.34 51.28 MRE, 14.21, 16.12 21.36 higher R 2 IDW. isodepth-area curves indicated possibility exploitation up 20 m.