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城市二级废水强化处理:从微污染物去除、非选择性出水毒性及实时控制潜力方面比较(生物)过滤与臭氧化处理

Enhanced treatment of secondary municipal wastewater effluent: comparing (biological) filtration and ozonation in view of micropollutant removal, unselective effluent toxicity, and the potential for real-time control.

作者信息

Chys Michael, Demeestere Kristof, Ingabire Ange Sabine, Dries Jan, Van Langenhove Herman, Van Hulle Stijn W H

机构信息

LIWET, Department of Industrial Biological Sciences, Ghent University Campus Kortrijk, Graaf Karel de Goedelaan 5, Kortrijk B-8500, Belgium E-mail:

EnVOC, Department of Sustainable Organic Chemistry and Technology, Ghent University, Coupure Links 653, Ghent B-9000, Belgium.

出版信息

Water Sci Technol. 2017 Jul;76(1-2):236-246. doi: 10.2166/wst.2017.207.

DOI:10.2166/wst.2017.207
PMID:28708628
Abstract

Ozonation and three (biological) filtration techniques (trickling filtration (TF), slow sand filtration (SSF) and biological activated carbon (BAC) filtration) have been evaluated in different combinations as tertiary treatment for municipal wastewater effluent. The removal of 18 multi-class pharmaceuticals, as model trace organic contaminants (TrOCs), has been studied. (Biological) activated carbon filtration could reduce the amount of TrOCs significantly (>99%) but is cost-intensive for full-scale applications. Filtration techniques mainly depending on biodegradation mechanisms (TF and SSF) are found to be inefficient for TrOCs removal as a stand alone technique. Ozonation resulted in 90% removal of the total amount of quantified TrOCs, but a post-ozonation step is needed to cope with an increased unselective toxicity. SSF following ozonation showed to be the only technique able to reduce the unselective toxicity to the same level as before ozonation. In view of process control, innovative correlation models developed for the monitoring and control of TrOC removal during ozonation, are verified for their applicability during ozonation in combination with TF, SSF or BAC. Particularly for the poorly ozone reactive TrOCs, statistically significant models were obtained that correlate TrOC removal and reduction in UVA as an online measured surrogate parameter.

摘要

臭氧氧化和三种(生物)过滤技术(滴滤(TF)、慢砂过滤(SSF)和生物活性炭(BAC)过滤)已被评估以不同组合作为城市污水二级处理后的深度处理工艺。研究了作为典型痕量有机污染物(TrOCs)的18种多类药物的去除情况。(生物)活性炭过滤能显著降低TrOCs的含量(>99%),但对于大规模应用成本较高。主要依赖生物降解机制的过滤技术(TF和SSF)作为单独技术对TrOCs的去除效率较低。臭氧氧化能去除90%的已定量TrOCs总量,但需要一个臭氧氧化后处理步骤来应对增加的非选择性毒性。臭氧氧化后接SSF是唯一能将非选择性毒性降低到与臭氧氧化前相同水平的技术。从过程控制的角度来看,为监测和控制臭氧氧化过程中TrOCs去除而开发的创新关联模型,在与TF、SSF或BAC组合的臭氧氧化过程中验证了其适用性。特别是对于臭氧反应性较差的TrOCs,获得了具有统计学意义的模型,该模型将TrOCs去除与作为在线测量替代参数的紫外线A(UVA)降低相关联。

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