Department of Civil, Environmental, and Geo- Engineering, University of Minnesota, 500 Pillsbury Dr. SE, Minneapolis, MN, 55455, United States.
Department of Civil, Environmental, and Geo- Engineering, University of Minnesota, 500 Pillsbury Dr. SE, Minneapolis, MN, 55455, United States.
Water Res. 2018 Dec 1;146:67-76. doi: 10.1016/j.watres.2018.09.023. Epub 2018 Sep 7.
The removal and fate of contaminants of emerging concern (CECs) in water treatment systems is of interest given the widespread occurrence of CECs in water supplies and increase in direct potable reuse of wastewater. In this study, CEC removal was investigated in pilot-scale biologically-active granular activated carbon (GAC)-sand and anthracite-sand filters under different hydraulic loading rates and influent CEC concentrations over a 15-month period. Eight of the most commonly detected compounds in a survey of CEC occurrence in drinking water were selected for this study: atenolol, atrazine, carbamazepine, fluoxetine, gemfibrozil, metolachlor, sulfamethoxazole and tris(2-chloroethyl) phosphate (TCEP). GAC-sand biofilters provided superior CEC removal for all compounds (mean removal efficiencies: 49.1-94.4%) compared to anthracite-sand biofilters (mean removal efficiencies: 0-66.1%) due to a combination of adsorption and biodegradation. Adsorption was determined to be the dominant removal mechanism for most selected CECs, except fluoxetine, which had the greatest biodegradation rate constant (0.93 ± 0.15 min at 20-28 °C). The mean removal efficiency decreased by 16.5% when the loading rate increased from 2 to 4 gpm/ft (4.88-9.76 m/h). A significant reduction in CEC removal was observed after 100,000 bed volumes when the influent CEC concentration was low (100-200 ng/L), whereas no significant reduction was observed during spike dosing (1000-3000 ng/L). A regression analysis suggested that biodegradation rate, hydraulic loading rate, influent CEC concentration, throughput, influent dissolved organic carbon (DOC) concentration, and CEC charge are important parameters for predicting CEC removal performance in GAC-sand biofilters.
鉴于新兴关注污染物 (CECs) 在供水中的广泛存在以及废水直接饮用水的回用增加,研究水处理系统中 CEC 的去除和归宿具有重要意义。在这项为期 15 个月的研究中,在不同水力负荷率和进水 CEC 浓度下,在中试规模的生物活性颗粒活性炭 (GAC)-砂和无烟煤-砂过滤器中研究了 CEC 的去除。选择了在饮用水中 CEC 发生情况调查中最常检测到的 8 种化合物进行本研究:阿替洛尔、莠去津、卡马西平、氟西汀、吉非贝齐、甲草胺、磺胺甲恶唑和三(2-氯乙基)磷酸酯 (TCEP)。GAC-砂生物滤池对所有化合物(平均去除效率:49.1-94.4%)的 CEC 去除效果均优于无烟煤-砂生物滤池(平均去除效率:0-66.1%),这是由于吸附和生物降解的综合作用。对于大多数选定的 CEC,吸附被确定为主要的去除机制,除了氟西汀,其生物降解速率常数最大(20-28°C 时为 0.93±0.15 min)。当负荷率从 2 增加到 4 gpm/ft(4.88-9.76 m/h)时,平均去除效率降低了 16.5%。当进水 CEC 浓度较低(100-200 ng/L)时,经过 100,000 个床体积后,CEC 的去除量显著减少,而在尖峰剂量(1000-3000 ng/L)时,没有观察到显著减少。回归分析表明,生物降解速率、水力负荷率、进水 CEC 浓度、吞吐量、进水溶解性有机碳 (DOC) 浓度和 CEC 电荷是预测 GAC-砂生物滤池中 CEC 去除性能的重要参数。