Evaluation of Interpolation Techniques for estimating groundwater level and groundwater salinity in the Salman Farsi Sugarcane Plantation

Due to the importance of groundwater resources as useable and depleting water resources, the study and appropriate management of groundwater exploitation is essential. Proper management of groundwater resources needs knowledge of the spatial variability of groundwater level and groundwater salinity over the study area. To obtain such information, appropriate interpolation and mapping of groundwater level and groundwater salinity based on a limited number of observations is needed. The purpose of the present study is to evaluate Ordinary Kriging and IDW interpolation techniques for estimating groundwater level and groundwater salinity in Salman Farsi Sugarcane Plantation (West of Iran). The results showed for both groundwater level and groundwater salinity parameters, the prediction accuracy of the Ordinary Kriging model, was higher than the IDW model. So that the Root Mean Square Error (RMSE) value was calculated to simulate the groundwater level in Ordinary Kriging and IDW method by 1.02 and 2.14, respectively, and to simulate the salinity of groundwater by 1.45 and 2.79. Due to the acceptable accuracy of the results of the Kriging model, planners can, by updating the data of this model, use it to predict the quantity and quality of groundwater parameters.