trend of groundwater quality changes, using geo statistics (case study: ravar plain)

groundwater aquifers are an important source of water supply for agriculture, industry and drinking. the present study investigates the changes in the quality of groundwater using geostatistical methods in the ravar plain during a 10-year period. in this study, after selecting the appropriate spatial interpolation method to draw water quality parameters such as tds, sar and ec, zoning maps of ravar plain were provided for three periods of time: the first period (2002-2005), an intermediate period (2006-2009) and the final period (2010-2012) in two seasons using arcgis 10.1. for this purpose, data were evaluated in gs+ 5.1 software, after calculation, the best model with the lowest estimated error was selected for zoning water quality parameters. because of the lowest estimation error, kriging, gaussian and spherical variogram models were selected as appropriate interpolation method for zoning the quality parameters. the results of the spatial analysis of tds showed that tds have been increased in the study area. due to the amount of dissolved solids, ec amount was highly variable. according to the wilcox classification, at the end of the period, water quality of agricultural was inappropriate in most of the area which represents the increase of electrical conductivity during the period.