Determining Spatial and Temporal Variations of Groundwater Quality Parameters Using GIS and Interpolation Methods (Case Study: Sirjan Plain)

The goal of this research is assessment spatial and temporal distribution of groundwater quality in Sirjan plain using Arc GIS software. For this purpose, groundwater quality data were collected from Kerman province of water and wastewater company from1381-1397 years. Simple Kriging, ordinary Kriging and IDW method were used to predict spatial distribution of groundwater quality parameters (12 parameters). The variogram of each parameter was drawn using GS+ software for fitting the best interpolation model. Then, spatial distribution maps of groundwater quality were drawn using Arc GIS. Results showed that ordinary Kriging was the best interpolation method for most of the parameters and spherical and exponential models were the best variogram model. According to spatial distribution maps, concentrations of ions were increasing during the years studied and pollution was aggregated in west and south parts of Sirjan plain which agreed with well locations and using groundwater for agriculture in those zones.