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不同工业处理废水和其受纳河流中有机微量污染物的化学指纹图谱分析。

Chemical fingerprinting of organic micropollutants in different industrial treated wastewater effluents and their effluent-receiving river.

机构信息

State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Center for Environmental Health Risk Assessment and Research, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.

China National Environmental Monitoring Centre, Beijing 100012, China.

出版信息

Sci Total Environ. 2022 Sep 10;838(Pt 4):156399. doi: 10.1016/j.scitotenv.2022.156399. Epub 2022 May 31.

Abstract

Industry wastewater is considered one of the worst polluters of our precious water ecologies. However, the types of pollutants present in wastewater from industrial wastewater treatment plants (IWTPs) are still unclear. In this study, a simple and effective chemical fingerprinting method for checking the source-sink relationships among different industrial wastewaters and their effluent-receiving river was established. 107, 228, 155, and 337 chemicals were screened out in wastewater from electronics, steel, textile, and printing and dyeing plants, respectively. Chemical fingerprinting of the detected chemicals was performed, and results showed that aromatic compounds were the most prevalent among the pollutant categories (i.e., 56, 189, and 168 in electronics, iron and steel, and printing and dyeing plants, respectively). The traceability analysis of the chemicals selected in the effluent determined the characteristic pollutants of different industrial enterprises. Sixty-eight compounds were identified as the characteristic pollutants in the different process stages of wastewater of the four IWTPs. Of the 84 effluent-receiving river water signature pollutants, 47.6% (n = 40) were also detected in the effluent from the four IWTPs. Effective screening of organic pollutants in industrial wastewater and determining their sources will help accelerate the improvement of industrial wastewater treatment technology.

摘要

工业废水被认为是对我们宝贵水生态系统污染最严重的污染物之一。然而,工业废水处理厂(IWTP)废水中存在的污染物类型仍不清楚。在这项研究中,建立了一种简单有效的化学指纹图谱法,用于检查不同工业废水及其受纳河流之间的源汇关系。在电子、钢铁、纺织和印染厂的废水中分别筛选出 107、228、155 和 337 种化学物质。对检出化学物质的化学指纹图谱进行了分析,结果表明,芳香族化合物是污染物种类中最常见的(即电子、钢铁和印染厂分别为 56、189 和 168)。对废水处理厂出水中选择的化学物质进行溯源分析,确定了不同工业企业的特征污染物。在四个 IWTP 的废水不同处理阶段,确定了 68 种化合物为特征污染物。在 84 种受纳河流水指纹特征污染物中,有 47.6%(n=40)也在四个 IWTP 的出水中被检出。有效筛选工业废水中的有机污染物并确定其来源,将有助于加速工业废水处理技术的改进。

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