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Method for assessment of stormwater treatment facilities - Synthetic road runoff addition including micro-pollutants and tracer

机译:雨水处理设施的评估方法-包括微量污染物和示踪剂在内的合成道路径流的添加

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Stormwater treatment facilities (STFs) are becoming increasingly widespread but knowledge on their performance is limited. This is due to difficulties in obtaining representative samples during storm events and documenting removal of the broad range of contaminants found in stormwater runoff. This paper presents a method to evaluate STFs by addition of synthetic runoff with representative concentrations of contaminant species, including the use of tracer for correction of removal rates for losses not caused by the STF. A list of organic and inorganic contaminant species, including trace elements representative of runoff from roads is suggested, as well as relevant concentration ranges. The method was used for adding contaminants to three different STFs including a curbstone extension with filter soil, a dual porosity filter, and six different permeable pavements. Evaluation of the method showed that it is possible to add a well-defined mixture of contaminants despite different field conditions by having a flexibly system, mixing different stock-solutions on site, and use bromide tracer for correction of outlet concentrations. Bromide recovery ranged from only 12% in one of the permeable pavements to 97% in the dual porosity filter, stressing the importance of including a conservative tracer for correction of contaminant retention values. The method is considered useful in future treatment performance testing of STFs. The observed performance of the STFs is presented in coming papers.
机译:雨水处理设施(STF)越来越广泛,但是对其性能的了解却很有限。这是由于在暴风雨期间难以获得有代表性的样品以及记录去除雨水径流中发现的各种污染物的困难。本文介绍了一种通过添加具有代表性污染物浓度的合成径流来评估STF的方法,包括使用示踪剂校正非STF造成的损失的去除率。建议列出有机和无机污染物种类,包括代表道路径流的微量元素以及相关的浓度范围。该方法用于将污染物添加到三个不同的STF中,包括带过滤器土壤的路缘石扩展,双孔隙度过滤器和六个不同的可渗透路面。该方法的评估表明,尽管田间条件不同,但仍可以通过使用灵活的系统,在现场混合不同的储备溶液并使用溴化物示踪剂校正出口浓度来添加定义明确的污染物混合物。溴化物的回收率从渗透性路面之一的仅12%到双重孔隙度过滤器的97%不等,强调了包括保守的示踪剂以校正污染物保留值的重要性。该方法被认为可用于STF的未来治疗性能测试。即将发表的论文中介绍了STF的观察性能。

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