جستجوی مقالات مرتبط با کلیدواژه « Drinking water quality » در نشریات گروه « آب و خاک »

In recent years, the new methods for assessment of groundwater resources quality have been developed extensively. In this research, the application of Entropy Theory to evaluate groundwater quality for drinking purposes is shown. In rural regions, the groundwater resources are the main source of drinking water. Also, the source of drinking water in Sarab plain is groundwater resources. The Entropy method was used, in order to prevent the individual judgments on determination weight of the parameters used in Water Quality Index Method. In this study, for evaluating Sarab Plain groundwater quality for drinking purposes through entropy weighted method, 12 groundwater parameters affecting the quality of drinking water, including bicarbonate, sulphate, chloride, calcium, magnesium, sodium, potassium, lithium, fluoride, nitrate, sillies and electrical conductivity, were used. Results showed that chloride had the highest impact on water quality of Sarab plain aquifers. Potassium, sodium and nitrate are the most unstable parameters among the studied parameters. The results showed 53 and 18 percent of groundwater samples were classified in group one and two respectively.

The aim of this study was to assess the drinking quality of Shahrekord aquifer based on a GWQI (groundwater quality index) within a GIS framework. To do this, samples from 97 wells were analyzed for pH, Electrical Conductance (EC), Total Dissolved Solids (TDS), Total Suspended Solids (TSS), Turbidity, Ca2+, Mg2+, Na+, K+, Cl-, HCO3- and SO42-, and total hardness was also calculated. These water quality parameters were geostatistically mapped. Maps showed that maximum quality of water occurs in the northwest while the lowest quality occurs in the south of aquifer. To calculate GWQI index, each map was difference-normalized and converted to a rank map. Assuming the mean value of each rank map to be the weight of corresponding parameter, a GWQI map was created with values varying from 0 (lowest) to 99 (highest quality). Mean GWQI of 84 indicates a relatively good drinking quality of water in the aquifer. However, based on the GWQI map the quality of water declines from very good (GWQI=87) in northwest to a lower quality (GWQI= 80) in southern part of the aquifer. The lower quality of water in the southern part may have been caused by industrial activities, intensive animal husbandry, presence of wastewater plant, irrigation with treated municipal effluent and also by the inward hydraulic gradient. Map removal sensitivity analysis indicated that TSS and to some extent Na+ were important water parameters in this aquifer, which must be monitored with greater accuracy and frequency.