TY - JOUR ID - 60354 TI - Assessment spatial variability and Mapping of drinking and agricultural water quality using geostatisticsand GIStechniques JO - Iranian journal of Ecohydrology JA - IJE LA - en SN - 2423-6098 AU - Zarei, Abdol Rassoul AU - Amiri, Mohammad Javad AD - Department of Natural Resources Science, College of Agriculture, Fasa University AD - Department of Water Engineering, College of Agriculture, Fasa University Y1 - 2016 PY - 2016 VL - 3 IS - 4 SP - 505 EP - 516 KW - Geostatistics KW - Schoeller KW - Wilcox KW - Groundwater quality KW - parametric and non-parametric tests DO - 10.22059/ije.2016.60354 N2 - Quality properties of groundwater is one of the major components which can used for water resources management. In this study, spatial variability of groundwater quality for drinking uses (Schoeller standards) and agricultural uses (Wilcox standards) was investigated during 1387-1392.In this research, we use information of 24 observation wells in Fasa plain, to investigate the spatial variability of water quality parameters for different category by using geostatistics technique in GIS software and associated areas of different classof water quality were also determined. Afterwards, the change in the area by using parametric (linear regression) and non-parametric (Spearman) statistical tests for determined period was evaluated. The results showed that the areas with suitable class for drinking and agricultural uses based on the both statistical methods were decreased, while the areas with unsuitable class were increased. The categories of drinking water quality evaluated by spatial variability of the study area fall under unsuitable class, Bad class and temporarily acceptable class which these areas have been increased and are not significant at 95% level. The categories of agricultural water quality evaluated by spatial variability of the study area fall under good class, average class and bad class which the areas with average quality class have been decreased and the areas with bad quality class have been increased,these variables are significant at 95% level based on the both statistical methods.   UR - https://ije.ut.ac.ir/article_60354.html L1 - https://ije.ut.ac.ir/article_60354_904b3e57e14984d511e6a6af9a99f905.pdf ER -