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Impacts of backwashing on granular activated carbon filters for advanced wastewater treatment

机译:反冲洗对用于高级废水处理的颗粒状活性炭过滤器的影响

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The use of granular activated carbon (GAC) in fixed bed filters is a promising option for the removal of organic micropollutants (OMP) from wastewater treatment plant effluents. Frequent bacicwashing of the filter bed is inevitable, but its effect on potential filter stratification is not well understood yet and thus has been evaluated in the present study for two commercial GAC products. Bacicwashing of GAC filters was simulated with 10 or 100 filter bed expansions of 20 or 100% at backwash velocities of 12 and 40 m/h, respectively. Five vertical fractions were extracted and revealed a vertical stratification according to grain sizes and material densities. Sieve analyses indicated increasing grain sizes towards the bottom for one GAC while grain sizes of the other GAC were more homogeneously distributed throughout the filter bed. The apparent densities of the top sections were significantly lower than that of the bottom sections of both products. Comparative long term fixed bed adsorption experiments with the top and bottom sections of the stratified GAC showed remarkable differences in breakthrough curves of dissolved organic carbon, UV light absorption at 254 nm wavelength (UVA(254)) and OMP. GAC from the upper section showed constantly better removal efficiencies than GAC from the bottom section, especially for weakly adsorbing OMP such as sulfamethoxazole. Furthermore correlations between UVA(254) reductions and OMP removals were found. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在固定床过滤器中使用颗粒活性炭(GAC)是从污水处理厂废水中去除有机微污染物(OMP)的有前途的选择。不可避免地要经常对滤床进行细菌清洗,但是对潜在滤池分层的影响尚不十分清楚,因此在本研究中已对两种市售GAC产品进行了评估。在反洗速度分别为12和40 m / h的情况下,使用20%或100%的10或100个滤床膨胀来模拟GAC过滤器的基本洗涤。提取了五个垂直馏分,并根据晶粒大小和材料密度显示出垂直分层。筛分分析表明,一个GAC的晶粒朝着底部增加,而另一个GAC的晶粒更均匀地分布在整个滤床中。两种产品的顶部的表观密度明显低于两种产品的底部。在分层GAC的顶部和底部进行的长期固定床吸附比较实验表明,溶解有机碳的穿透曲线,254 nm波长的UV光吸收(UVA(254))和OMP的显着差异。上部的GAC始终比下部的GAC表现出更好的去除效率,尤其是对于磺胺甲恶唑等OMP吸附较弱的情况。此外,还发现了UVA(254)减少与OMP去除之间的相关性。 (C)2015 Elsevier Ltd.保留所有权利。

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