Analyzing spatial variations of groundwater quality parameters in Tabriz plain using Kriging, Co-kriging and IDW methods

Document Type : Research paper

Authors

1 Master of Engineering, University of Tabriz

2 Water Engineering, University of Tabriz

3 University of Tabriz

Abstract

Groundwater is an important water resource in arid and semiarid regions and its quantitative/qualitative analysis is very important. In Tabriz plain, due to the reduction in annual amounts of precipitation and consequently, reduction of surface runoff, groundwater resources play key rule in supplying agricultural, drinking and industrial consumptive sections. The goal with the present study was evaluating the groundwater resources in Tabriz plain qualitatively from agricultural irrigation viewpoint, as well as analyzing the spatial variations of EC, Cl, TDS and SAR through employing the geostatistical methods. The observational records of86 wells in this region, covering a period of 17 years (2004-2017), were used to assess the applied methodology. Comparing the Kriging, co-kriging (with Gaussian variogram) and IDW methods showed that that the co-Kriging with Gaussian variogram provided the most accurate results inn term of the lowest scatter index (SI) values. The results of the groundwater quality classification (using Wilcox diagram) and EC/ SAR zoning showed that the groundwater quality in the Tabriz plain is semi saline to saline in most of the cases, which might be linked to the higher amounts of withdrawals from the aquifer.
Groundwater is an important water resource in arid and semiarid regions and its quantitative/qualitative analysis is very important. In Tabriz plain, due to the reduction in annual amounts of precipitation and consequently, reduction of surface runoff, groundwater resources play key rule in supplying agricultural, drinking and industrial consumptive sections. The goal with the present study was evaluating the groundwater resources in Tabriz plain qualitatively from agricultural irrigation viewpoint, as well as analyzing the spatial variations of EC, Cl, TDS and SAR through employing the geostatistical methods.

Keywords