期刊名称：Research Journal of Environmental and Earth Sciences
印刷版ISSN：2041-0484
电子版ISSN：2041-0492
出版年度：2012
卷号：4
期号：2
页码：177-185
出版社：Maxwell Science Publications
摘要：The Kriging techniques are called the best linear unbiased estimator since it tries to have a mean residual error equal to zero. It aims to minimizing the variance of the errors and hence is a strong advantage over other estimation methods like inverse distance weighting or moving average. In this study, the ordinary kriging techniques were used to estimate groundwater quality parameters (Ca2+, Mg2+, Na+, K+, Cl- and NO3-). It was found that the spatial interpolation of groundwater quality of the study area poses various problems due to the complex impact of cultivation and urbanization systems of the study area. Testing of various methods and parameters, by comparing and ranking their cross-correlation errors, show that ordinary kriging method using the different semivariogram models provides the overall good results. Also, most of the groundwater quality parameters have moderate spatial structure except NO3 and Ca that have a strong spatial structure.
