Spatial Estimation of Sodium Adsorption Ratio (SAR) and Chlorine in Groundwater Using Geostatistical Methods

Document Type : Research Paper

Authors

1 Department of Irrigation and Drainage, Ferdowsi University, Mashhad, Iran

2 Department of Irrigation and Drainage, Water Sciences Engineering Faculty, Shahid Chamran University, Ahwaz, Iran

3 Assistant Professor, Department of Irrigation and Drainage, Water Sciences Engineering Faculty, Shahid Chamran University, Ahwaz, Iran

Abstract

Having knowledge of groundwater quality in arid and semi-arid areas can result sustainability of this valuable resource. For this reason, it is necessary to estimate Sodium Adsorption Ratio (SAR) and Chlorine in the groundwater quality accurately. Nowadays, many attentions have been arisen on geostatistical methods to detect spatial variability using same data (Kriging) or using auxiliary variables (Co-kiriging) in groundwater science. The quality of groundwater for agriculture is very important, however its measurement is time consuming and expensive. Therefore, finding solution to estimate SAR and Cl from easily measuring parameters is essential. This study is done in Boukan region using Co-kriging estimator in which water salinity (EC) is considered as an auxiliary variable. The results of Co-kriging and Kriging, were compared and evaluated using RMSE criterion. The results showed that Co-kriging method with high correlation coefficients is more precise than Kriging models in estimating SAR and Cl. RMSE values were 3.07 and 3.82 in estimating SAR and Cl respectively.

Keywords

Irrigation Sciences and Engineering
Volume 34, Issue 2 - Serial Number 2
December 2011
Pages 11-20

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History

  • Receive Date: 26 May 2010
  • Revise Date: 04 March 2014
  • Accept Date: 12 October 2011
  • Publish Date: 22 November 2011

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