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Up-to-date monitoring data of wastewater and stormwater quality in Germany
Water Research ( IF 11.4 ) Pub Date : 2021-07-22 , DOI: 10.1016/j.watres.2021.117452
Jan Philip Nickel 1 , Frank Sacher 2 , Stephan Fuchs 1
Affiliation  

A comprehensive dataset of pollutant concentrations in German urban wastewater systems is available from recently completed monitoring projects. It contains up to 1000 concentration values for each of 79 substances in wastewater treatment plant (WWTP) effluents from 49 sites, and up to 157 values for each of 95 substances in combined sewer overflows (CSOs) from 12 sites. WWTP influents and stormwater outfalls were sampled to a lesser extent. All sampling methods were harmonised and aimed at collecting event or multi-day composite samples over periods of ≥1 year. Among the substances analysed were biocides and pesticides, polycyclic aromatic hydrocarbons, perfluorinated alkyl substances, metals, pharmaceuticals, benzotriazoles, phenols, acesulfame, di-(2-ethylhexyl)phthalate, and hexabromocyclododecanes. Occurrence, concentration ranges, and removal rates of selected WWTPs are presented. CSOs can be confirmed as an important pathway of metals and PAH to receiving waters when compared to WWTPs on the basis of annual per capita loads. The derived volume-weighted site mean concentrations are qualified to be used as representative input data for estimation of average substance emissions in large areas, e.g. on river basin scale, if no site-specific data are available. As such, they will contribute to the development of strategies to reduce substance emissions, taking into account not only WWTPs but also stormwater-related discharges.



中文翻译:

德国废水和雨水水质的最新监测数据

最近完成的监测项目提供了德国城市污水系统中污染物浓度的综合数据集。它包含来自 49 个地点的污水处理厂 (WWTP) 流出物中 79 种物质中每一种的多达 1000 个浓度值,以及来自 12 个地点的合流下水道溢流 (CSO) 中的 95 种物质中每一种的多达 157 个值。污水处理厂的进水和雨水排放的采样范围较小。所有采样方法都经过协调,旨在收集≥1 年期间的事件或多天复合样本。分析的物质包括杀生物剂和杀虫剂、多环芳烃、全氟烷基物质、金属、药物、苯并三唑、苯酚、安赛蜜、邻苯二甲酸二(2-乙基己基)酯和六溴环十二烷。发生率、浓度范围、以及选定污水处理厂的去除率。基于年人均负荷,与污水处理厂相比,CSOs 可以被确认为金属和 PAH 进入接收水体的重要途径。如果没有特定地点的数据可用,则导出的体积加权地点平均浓度有资格用作估计大区域(例如流域规模)平均物质排放的代表性输入数据。因此,它们将有助于制定减少物质排放的战略,不仅要考虑污水处理厂,还要考虑与雨水相关的排放。如果没有特定地点的数据可用,则导出的体积加权地点平均浓度有资格用作估计大区域(例如流域规模)平均物质排放的代表性输入数据。因此,它们将有助于制定减少物质排放的战略,不仅要考虑污水处理厂,还要考虑与雨水相关的排放。如果没有特定地点的数据可用,则导出的体积加权地点平均浓度有资格用作估计大区域(例如流域规模)平均物质排放的代表性输入数据。因此,它们将有助于制定减少物质排放的战略,不仅要考虑污水处理厂,还要考虑与雨水相关的排放。

更新日期:2021-08-03
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