Not AvailableAccurate and reliable interpolation of groundwater
depth over a region is a pre-requisite for efficient
planning and management of water resources. The performance
of two deterministic, such as inverse distance
weighting (IDW) and radial basis function (RBF) and two
stochastic, i.e., ordinary kriging (OK) and universal kriging
(UK) interpolation methods was compared to predict spatio-
temporal variation of groundwater depth. Pre- and postmonsoon
groundwater level data for the year 2006 from
110 different locations over Delhi were used. Analyses
revealed that OK and UK methods outperformed the IDW
method, and UK performed better than OK. RBF also
performed better than IDW and OK. IDW and RBF
methods slightly underestimated and both the kriging
methods slightly overestimated the prediction of water
table depth. OK, RBF and UK yielded 27.52, 27.66 and
51.11 % lower RMSE, 27.49, 35.34 and 51.28 % lower
MRE, and 14.21, 16.12 and 21.36 % higher R2 over IDW.
The isodepth-area curves indicated the possibility of
exploitation of groundwater up to a depth of 20 m.Not Availabl
