Pramanik Biplob Kumar, Pramanik Sagor Kumar, Suja Fatihah
School of Civil, Environmental and Chemical Engineering, RMIT University, G.P.O. Box 2476, Melbourne, 3001, Australia E-mail:
Department of Civil Engineering, Ahsanullah University of Science and Technology, Tejgaon Industrial Area, Dhaka-1208, Bangladesh.
J Water Health. 2016 Feb;14(1):90-6. doi: 10.2166/wh.2015.159.
Effects of biological activated carbon (BAC), biological aerated filter (BAF), alum coagulation and Moringa oleifera coagulation were investigated to remove iron and arsenic contaminants from drinking water. At an initial dose of 5 mg/L, the removal efficiency for arsenic and iron was 63% and 58% respectively using alum, and 47% and 41% respectively using Moringa oleifera. The removal of both contaminants increased with the increase in coagulant dose and decrease in pH. Biological processes were more effective in removing these contaminants than coagulation. Compared to BAF, BAC gave greater removal of both arsenic and iron, removing 85% and 74%, respectively. Longer contact time for both processes could reduce the greater concentration of arsenic and iron contaminants. The addition of coagulation (at 5 mg/L dosage) and a biological process (with 15 or 60 min contact time) could significantly increase removal efficiency, and the maximum removal was observed for the combination of alum and BAC treatment (60 min contact time), with 100% and 98.56% for arsenic and iron respectively. The reduction efficiency of arsenic and iron reduced with the increase in the concentration of dissolved organics in the feedwater due to the adsorption competition between organic molecules and heavy metals.
研究了生物活性炭(BAC)、曝气生物滤池(BAF)、明矾混凝和辣木混凝对饮用水中铁和砷污染物的去除效果。初始投加量为5mg/L时,使用明矾对砷和铁的去除率分别为63%和58%,使用辣木时分别为47%和41%。两种污染物的去除率均随混凝剂投加量的增加和pH值的降低而提高。生物处理在去除这些污染物方面比混凝更有效。与曝气生物滤池相比,生物活性炭对砷和铁的去除效果更好,分别去除85%和74%。两种工艺延长接触时间均可降低砷和铁污染物的较高浓度。投加混凝剂(投加量为5mg/L)和采用生物处理工艺(接触时间为15或60分钟)可显著提高去除效率,明矾与生物活性炭联合处理(接触时间60分钟)的去除效果最佳,砷和铁的去除率分别为100%和98.56%。由于有机分子与重金属之间的吸附竞争,随着进水溶解有机物浓度的增加,砷和铁的去除效率降低。