سفرههای خالی ۶۰۰ معدنکار در دالانهای «همکار»/ شرمنده زن و بچه هستیم!
حداقل حقوق بازنشستگان ۱۴ میلیون و ۴۰ هزار تومان شد/ سقف پاداش پایان خدمت ۷۵۰ میلیون تومان
مرگ کارگر روستایی بر اثر سقوط از ارتفاع در گرگان/ «یاسر توسلی» فقط ۲۵ سال داشت
شیوع ویروس آنفلونزای نوع جدید تا اردیبهشت ماه آینده ادامه دارد
آب در ایران مساله اول نیست/ در پایتخت، شبکههای لولهکشی با بیش از ۸۰ سال عمر داریم
بررسی مشکلات بازنشستگان فولاد اصفهان با حضور معاون وزیر کار
Nitrate has been the most common chemical contaminant in water resource. This ion is introduced into the water via different ways, but more items of nitrate pollution was connected with farming-based drainage and sewage effluent.
The purpose of this study was to evaluate the spatial changes of groundwater phosphate concentrations using geostatistical methods based on data from 10 groundwater wells.
Nowadays 90% of the required water of Iran is secured with groundwater resources and forecasting of pollutants content in these resources is vital. Therefore, this research aimed to develop and employ the feedforward artificial neural network (ANN) to forecast the arsenic (As), lead (Pb), and zinc (Zn) concentration in groundwater resources of Asadabad plain.
Fluoride is found in all water resources at different concentrations and drinking water is the major source of fluoride exposure. Thus, because of the adverse effect of fluoride in low and high concentrations, the evaluation of its content in drinking water is necessary. In the present study, the temporal variations and spatial distribution of fluoride concentrations in the drinking water of villages in Divandareh (Kurdistan, Iran) were determined.