Cai Zhangli, Kim Daekeun, Sorial George A
Department of Civil and Environmental Engineering, University of Cincinnati, Cincinnati, OH 45221, USA.
Chemosphere. 2007 Jun;68(6):1090-7. doi: 10.1016/j.chemosphere.2007.01.068. Epub 2007 Mar 8.
Two independent parallel trickling bed air biofilters (TBABs) ("A" and "B") with two different typical VOC mixtures were investigated. Toluene, styrene, methyl ethyl ketone (MEK), and methyl isobutyl ketone (MIBK) were the target VOCs in the mixtures. Biofilter "A" was fed equal molar ratio of the VOCs and biofilter "B" was fed a mixture based on EPA 2003 emission report. Backwashing and substrate starvation operation were conducted as biomass control. Biofilter "A" and "B" maintained 99% overall removal efficiency for influent concentration up to 500 and 300 ppmv under backwashing operating condition, respectively. The starvation study indicated that it can be an effective biomass control for influent concentrations up to 250 ppmv for biofilter "A" and 300 ppmv for "B". Re-acclimation of biofilter performance was delayed with increase of influent concentration for both biofilters. Starvation operation helped the biofilter to recover at low concentrations and delayed re-acclimation at high concentrations. Furthermore, re-acclamation for biofilter "B" was delayed due to its high toluene content as compared to biofilter "A". The pseudo first-order removal rate constant decreased with increase of volumetric loading rate for both biofilters. MEK and MIBK were completely removed in the upper 3/8 media depth. While biofilter depth utilization for the removal of styrene and toluene increased with increase of influent concentrations for both biofilters. However, toluene removal utilized more biofilter depth for biofilter "B" as compared to biofilter "A".
研究了两个独立的平行滴流床空气生物滤池(TBABs)(“A”和“B”),它们处理两种不同的典型挥发性有机化合物(VOC)混合物。混合物中的目标VOC为甲苯、苯乙烯、甲基乙基酮(MEK)和甲基异丁基酮(MIBK)。生物滤池“A”进料的VOCs为等摩尔比,生物滤池“B”进料的是基于美国环境保护局2003年排放报告的混合物。通过反冲洗和底物饥饿操作来控制生物量。在反冲洗操作条件下,生物滤池“A”和“B”对于高达500和300 ppmv的进水浓度分别保持99%的总去除效率。饥饿研究表明,对于生物滤池“A”进水浓度高达250 ppmv以及生物滤池“B”进水浓度高达300 ppmv时,饥饿操作可以成为一种有效的生物量控制方法。两个生物滤池的生物滤池性能重新适应都随着进水浓度的增加而延迟。饥饿操作有助于生物滤池在低浓度下恢复,并在高浓度下延迟重新适应。此外,与生物滤池“A”相比生物滤池“B”的重新适应延迟,因为其甲苯含量较高。两个生物滤池的拟一级去除速率常数均随着体积负荷率的增加而降低。MEK和MIBK在介质深度的上3/8处被完全去除。而对于两个生物滤池,随着进水浓度的增加,用于去除苯乙烯和甲苯的生物滤池深度利用率也增加。然而,与生物滤池“A”相比,生物滤池“B”去除甲苯利用了更多的生物滤池深度。