Interpolation Methods in Evaluating the Groundwater Salinity Zonation, using Cross-Validation Technique (Case study: Lowland Shahrekord)

Irregular utilization of groundwater and increasing environmental pollution, which leads to the population growth causes decreasing the quality of mineral water. Among the important indicators of the quality status of groundwater, is electrical conductivity. Increasing the electrical conductivity leads to low-quality water and soil too. This study aimed to evaluate the accuracy Geostatistics methods Ordinary Kriging (OK), Simple Kriging (SK), and deterministic ones, Inverse Distance Weighting (IDW) with grades 1 to 5, Local Polynomial Interpolation (LPI) and Global Polynomial Interpolation (GPI), using Cross-Validation Technique MAE and MBE statistical criteria for evaluating different methods of Geostatistical. The results showed that ordinary Kriging with exponential model due to having lower MAE and MBE (MBE= -0.09 and MAE=65.57) and the least errors, is the relative deviation. Studies showed that good spatial correlation between the sizes of data making in different parts of the Shahrekord Plains has been changed. Therefore, half a view of an experimental model with a radius of 12 km. and C/Sill equals to 33 percent. Finally, the ordinary Kriging has been selected as the most appropriate method for mapping Shahrekord plain lands.