Optimization of temperature and supporting electrolyte for ammonium removal using bioelectrochemical systems

  • سال انتشار: 1394
  • محل انتشار: مجله پیشرفت در تحقیقات بهداشت محیط، دوره: 3، شماره: 1
  • کد COI اختصاصی: JR_JAEHR-3-1_009
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 600
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نویسندگان

Hooshyar Hossini

Department of Environmental Health, School of Medical Sciences, Tarbiat Modares University, Tehran, Iran

Abbas Rezaee

Department of Environmental Health, School of Medical Sciences, Tarbiat Modares University, Tehran, Iran

Bita Ayati

Department of Environmental Engineering, School of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran

Amir Hossein Mahvi

Center for Solid Waste Research, Institute for Environmental Research, Tehran AND School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

چکیده

High concentrations of ammonium in drinking water can cause many diseases and environmental problems such as eutrophication. Therefore, high-performance and eco-friendly methods for purification are of great importance and must be considered. Recently, bioelectrochemical systems have been successfully applied for the removal of many pollutants from water and wastewater. In the present work, ammonium was treated using the bioelectrochemical process. The two effective factors of temperature and supporting electrolyte dose were optimized using response surface methodology (RSM). The optimal conditions were electrolyte dosage of 250 mg/l and temperature of 26.5 °C. Under optimized conditions, the maximum ammonia removal percentage was 99.6%. Analysis of variance indicated a reasonable correlation coefficient (R2) between the predicted and actual values. R2 (0.8913), adjusted R2 (0.8137), and coefficient of variation (8.32 %) were calculated based on statistical analysis. The results indicate that the bioelectrochemical process is the most useful and effective method for the removal of ammonium from wastewater.

کلیدواژه ها

Ammonium Treatment, Waste Water, Bioelctrochemical, Response Surface Methodology

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