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对瑞士地表水中化学和制药制造业有机污染物排放的大规模评估。

Large-scale assessment of organic contaminant emissions from chemical and pharmaceutical manufacturing into Swiss surface waters.

机构信息

Eawag: Swiss Federal Institute of Aquatic Science and Technology, Ueberlandstrasse 133, 8600, Duebendorf, Switzerland; Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich,Universitaetstrasse 16, 8092, Zurich, Switzerland.

Soluval Santiago, Rue Edouard-Dubied 2, 2108 Couvet, Switzerland.

出版信息

Water Res. 2022 May 15;215:118221. doi: 10.1016/j.watres.2022.118221. Epub 2022 Feb 23.

Abstract

This study presents a nation-wide assessment of the influence of chemical and pharmaceutical manufacturing (CPM) wastewaters on synthetic organic contaminant (SOC) emissions to Swiss surface waters. Geographic Information System (GIS) based analysis of the presence of CPM in wastewater treatment plant (WWTP) catchments revealed wide distribution of this industrial sector across Switzerland, suggesting that one-third of the 718 Swiss WWTPs may be influenced by CPM wastewaters. To reflect the diversity of this type of wastewaters, we investigated the effluents of 11 WWTPs of diverse sizes and technologies, which treated 0-100% wastewater from a variety of CPM activities. In an extensive sampling campaign, we collected temporally high resolved (i.e., daily) samples for 2-3 months to capture the dynamics of CPM discharges. The > 850 samples were then measured with liquid chromatography high-resolution mass spectrometry (LC-HRMS). Non-target characterization of the LC-HRMS time series datasets revealed that CPM wastewaters left a highly variable and site-specific signature in the effluents of the WWTPs. Particularly, compared to WWTPs with purely domestic input, a larger variety of substances (up to 15 times more compounds) with higher maximum concentrations (1-2 orders of magnitude) and more uncommon substances were found in CPM-influenced effluents. Moreover, in the latter, highly fluctuating discharges often contributed to a substantial fraction of the overall emissions. The largely varying characteristics of CPM discharges between different facilities were primarily related to the type of activities at the industries (i.e., production versus processing of chemicals) as well as to the pre-treatment and storage of CPM wastewaters. Eventually, for one WWTP, LC-HRMS time series were correlated with ecotoxicity time series obtained from bioassays and major toxic components could be identified. Overall, in view of their potential relevance to water quality, a strong focus on SOC discharges from CPM is essential, including the design of situation-specific monitoring, as well as risk assessment and mitigation strategies that consider the variability of industrial emissions.

摘要

本研究对瑞士地表水中化学和制药制造业(CPM)废水对合成有机污染物(SOC)排放的影响进行了全国性评估。基于地理信息系统(GIS)的污水处理厂(WWTP)集水区中 CPM 的存在分析表明,该工业部门在瑞士各地广泛分布,这表明瑞士 718 个 WWTP 中有三分之一可能受到 CPM 废水的影响。为了反映这种废水的多样性,我们研究了 11 个不同规模和技术的 WWTP 的废水,这些 WWTP 处理了来自各种 CPM 活动的 0-100%的废水。在广泛的采样活动中,我们采集了具有高时间分辨率(即每日)的 2-3 个月的时间样本,以捕捉 CPM 排放的动态。然后,超过 850 个样本用液相色谱高分辨率质谱(LC-HRMS)进行了测量。LC-HRMS 时间序列数据集的非靶向特征描述表明,CPM 废水在 WWTP 的废水中留下了高度可变且特定于地点的特征。特别是与仅具有国内输入的 WWTP 相比,在 CPM 影响的废水中发现了更多种类的物质(多达 15 倍的化合物)、更高的最大浓度(1-2 个数量级)和更多不常见的物质。此外,在后一种情况下,高度波动的排放往往对整体排放的很大一部分做出了贡献。不同设施之间 CPM 排放的特征差异主要与工业活动的类型(即化学品的生产与加工)以及 CPM 废水的预处理和储存有关。最终,对于一个 WWTP,LC-HRMS 时间序列与生物测定获得的生态毒性时间序列相关,并且可以鉴定主要的有毒成分。总的来说,鉴于它们对水质的潜在相关性,必须重点关注 CPM 对 SOC 的排放,包括设计特定情况的监测,以及考虑到工业排放的变异性的风险评估和缓解策略。

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