Wentao Li , Yue Hu , Yangang Li , Wenzhen Zhang , Mengkai Li , Jun Hu , Weiwei Ben , Zhimin Qiang
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引用次数: 0
摘要
研究了暴雨对超滤(UF)-臭氧氧化(O3)联合工艺去除城市污水中微污染物和降低风险的影响。结果表明,暴雨导致二级出水中溶解有机质(DOM)大幅增加,主要由蛋白质样物质和陆生腐殖质组成。与此同时,12种常见的药品和个人护理产品(PPCPs)的浓度在5.0至545.0 ng L−1之间,略低于正常天气。暴雨过后,ppcp的总体去除率在14.8%-77.7%之间,其中UF的高分子量污染物(例如≥400 Da)的保留率显著降低。对于臭氧化装置,去除仍然相当,而自由基氧化的相对贡献增加。这种转变与HO•和/或其他活性物质的生成增强有关,这是由不饱和蛋白(源于上游污泥损失)作为前体的富集所驱动的。暴雨后,氯化废水中消毒副产物(DBPs)浓度升高,达到1372.5 μg L−1,这是由于在处理过程中陆源腐殖质含量持续升高所致。虽然与ppcp相关的风险可以忽略不计,但形成的dbp对人类健康(癌症风险为10−5)和水生生态系统(风险商数高达13.6)构成相当大的风险,特别是在臭氧化后。这些发现突出了暴雨引发的DOM在再生水质量中的作用,并为确保不同天气条件下再生水的安全提供了见解。
Performance of ultrafiltration-ozonation for municipal wastewater reclamation under rainstorm conditions: Impacts of DOM surge on micropollutant removal and associated risks
This study investigated the impacts of rainstorms on the performance of a combined ultrafiltration (UF)-ozonation (O3) process for micropollutant removal and risk mitigation during municipal wastewater reclamation. Results reveal that the rainstorm triggered a substantial surge in dissolved organic matter (DOM) in secondary effluent, primarily composed of protein-like substances and terrestrial humus. Meanwhile, 12 commonly detected pharmaceuticals and personal care products (PPCPs) were found at concentrations slightly lower than in normal weather, ranging from 5.0 to 545.0 ng L−1. Following the rainstorm, the overall removals of PPCPs spanned a wide range of 14.8 %–77.7 %, where a significantly lower retention of high molecular-weight pollutants (e.g., ≥ 400 Da) was observed for UF. For the ozonation unit, the removals remained comparable, while the relative contribution of radical oxidation increased. This shift was related to the enhanced generation of HO• and/or other reactive species, driven by the enrichment of unsaturated proteins (originating from upstream sludge loss) as precursors. Higher concentrations of disinfection by-products (DBPs), reaching up to 1372.5 μg L−1, were observed in chlorinated effluents after the rainstorm, ascribing to the elevated content of terrestrial humus persisting through the treatments. While the risks associated with PPCPs were negligible, the formed DBPs posed considerable risks to human health (with cancer risk at 10−5) and aquatic ecosystem (with risk quotient up to 13.6), particularly post ozonation. These findings highlight the role of rainstorm-fueled DOM in reclaimed water quality and provide insights into ensuring reclaimed water safety under different weather conditions.
期刊介绍:
Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include:
•Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management;
•Urban hydrology including sewer systems, stormwater management, and green infrastructure;
•Drinking water treatment and distribution;
•Potable and non-potable water reuse;
•Sanitation, public health, and risk assessment;
•Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions;
•Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment;
•Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution;
•Environmental restoration, linked to surface water, groundwater and groundwater remediation;
•Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts;
•Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle;
•Socio-economic, policy, and regulations studies.