Record Details

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

KRISHI: Publication and Data Inventory Repository

View Archive Info
 
 
Field Value
 
Title Comparison of deterministic and stochastic methods to predict spatial variation of groundwater depth
Not Available
 
Creator Partha Pratim Adhikary
Ch. Jyotiprava Dash
 
Subject Delhi _ Groundwater depth _ Inverse distance weighting _ Ordinary kriging _ Radial basis function _ Universal kriging
 
Description Not Available
Accurate 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 Available
 
Date 2020-03-17T09:00:51Z
2020-03-17T09:00:51Z
2014-10-27
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/33898
 
Language English
 
Relation Not Available;
 
Publisher Not Available