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Alternative Treatment of Flow Monitoring Data to Evaluate the Impact of Green Infrastructure on Stormwater Volume Reduction in Combined Sewers

机译:流量监测数据的替代处理,以评估绿色基础设施对联合下水道减少雨水量的影响

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Green infrastructure (GI) can capture stormwater onsite for volume reduction and peak flow attenuation in combined sewers. A pilot study in St. Louis evaluated how the use of rain garden and planter box to collect and mitigate stormwater runoff from roof drain can benefit the volume reduction of the flows in combined sewers. The study included two sites: a test site where GI (i.e. rain gardens and planter boxes) was installed; and a control site where no GI was installed. Flow and rainfall data were collected for a period of one and half year. Because many factors can affect the measured flow data from combined sewers, different methods for analyzing the same set of data could lead to difference in reported effectiveness of GI performance. This paper reports a study that examined two treatment methods of the flow monitoring data and the resulting effectiveness of GI performance for volume reduction. One treatment of the data considered flow data from same 24-hour periods between the test and control sites for evaluating GI's performance. A second treatment of the data analyzed all of acceptable flow data collected from the test and control sites. The GI performance was assessed for percentage reduction of stormwater volumes in the combined sewers. The study found that the different treatments of a same set of data led to difference in the reported GI performance: 55% of volume reduction from treatment one vs. 65% of the volume reduction from treatment two. The analysis methods, results, and implications of how data analysis methods affect the evaluation of GI performance were discussed.
机译:绿色基础设施(GI)可以现场收集雨水,以减少组合下水道中的体积和减少峰值流量。在圣路易斯进行的一项试点研究评估了如何使用雨水花园和花箱来收集和减轻屋顶排水带来的雨水径流如何有益于减少组合下水道的流量。该研究包括两个地点:一个安装了地理标志(即雨水花园和花箱)的测试地点;以及没有安装GI的控制站点。收集了一年半的流量和降雨量数据。由于许多因素会影响来自联合下水道的流量数据,因此分析同一组数据的不同方法可能会导致所报告的GI性能的差异。本文报告了一项研究,该研究检查了流量监测数据的两种处理方法以及由此产生的GI性能在减少体积方面的有效性。对数据的一种处理方法是考虑在测试站点和控制站点之间的相同24小时周期内获得流量数据,以评估GI的性能。数据的第二种处理方法是分析从测试和控制站点收集的所有可接受的流量数据。通过组合下水道的雨水量减少百分比来评估GI性能。该研究发现,同一数据集的不同处理导致所报告的胃肠道表现不同:处理一减少了55%,而处理二减少了65%。讨论了分析方法,结果以及数据分析方法如何影响GI性能评估的意义。

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