جستجوی مقالات مرتبط با کلیدواژه « schoeller » در نشریات گروه « اکولوژی »

Water quality monitoring has economic value in the process of producing clean water and is an important factor in reducing production and water treatment costs. In this study, the spatial variation of groundwater quality for drinking (based on Schuler method) and agriculture (based on the Willcox method) was investigated in Qorveh plain in Kurdistan province based on annual data (2009 to 2014). At first, a map of effective parameters in each method of water quality classification was prepared using the ordinary Kriging method based on data from 59 wells in the year 2018. Then, overlapping the maps, the final map of groundwater quality in the region was obtained for drinking and farming. The qualitative changes in the studied period were evaluated using nonparametric Spearman test and Sen estimator test. The results of the groundwater quality in terms of drinking and farming showed that the areas of more suitable classes are decreasing and the area of inappropriate classes is increasing. Spearman's results showed that 36% and 64% of data showed positive and negative trends at 95% level in wet and dry months, respectively that Groundwater quality has improved in recent months.

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.