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Evaluation of Retrofitted Green Infrastructure Stormwater Controls in Urban Areas Served by Combined and Separate Sewer Systems in Cincinnati, OH

机译:俄亥俄州辛辛那提市结合分开的下水道系统对市区改造的绿色基础设施雨水控制系统进行评估

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This project, funded by the Metropolitan Sewer District of Greater Cincinnati (MSDGC), represents several investigations at varying scales that included implementation of integrated watershed based green infrastructure (GI) stormwater controls to reduce CSO volumes in the Cincinnati area. Retrofitted green infrastructure stormwater controls located in small and large developed watersheds at three sites that are served by combined and separate sewers are being studied, including study areas at Cincinnati State College, the Cincinnati Zoo, and the Clark Montessori High School. High resolution flow data (5-minute) has been recorded in six different sewer pipes at the three study sites. The Clark Montessori High School, African Savannah Zoo, and the separate sewer monitoring location at Cincinnati State College have pre-construction data for comparison, while the main entrance of the Cincinnati Zoo and two flow monitoring locations at Cincinnati State College only have post construction flow data available. Therefore, the data analysis methods vary depending on the flow configurations and data availability. For flows in the two combined sewer test areas, dry weather flows were evaluated and removed from the combined flow monitoring data to isolate the wet weather direct flow contributions. This presentation will review the data analysis methods and present the results showing the significant runoff volume reductions possible with extensive use of green infrastructure controls in both separate and combined sewer areas. The preliminary results and statistical analyses show runoff volume reductions of more than 70% for most of the monitored areas. A locally calibrated WinSLAMM stormwater quality and runoff model is being used to predict pre-development conditions for comparison to monitored results for those sites that do not have pre-construction flow data available (i.e. main entry of the Cincinnati Zoo). The model will also provide guidance for placement of flow monitoring equipment in other demonstration areas (predict flow conditions with and without green infrastructure controls). In all cases, pre-construction flow data are being used to calibrate WinSLAMM for the area to account for rain variations that may have occurred during the long-term monitoring periods and to consider local site development and soil characteristics. There are several unique advantages of this project compared to other stormwater control demonstration projects that enhance our understanding of how these controls function: 1) the study areas cover a range of scales increasing the confidence of interpolation and extrapolation of the results, especially related to modeling efforts. 2) the study areas are watersheds that monitor the effects of multiple stormwater controls in the areas, in addition to effects of the uncontrolled areas. Most available stormwater monitoring data available in the literature are from individual devices and only have influent and effluent monitoring. Actual retrofitting of controls in large areas provides an honest assessment of expected benefits that consider actual site restraints. 3) the variety of monitoring strategies employed during this project allows confirmation of experimental design attributes and monitoring approaches that must be considered for challenging projects of this nature.
机译:该项目由大辛辛那提大城市下水道地区(MSDGC)资助,代表了不同规模的几项调查,包括实施基于集水区的绿色基础设施(GI)雨水控制措施,以减少辛辛那提地区的CSO量。目前正在研究位于三个地点的小型和大型发达集水区的改造的绿色基础设施雨水控制装置,这些地点由联合和单独的下水道服务,包括辛辛那提州立学院,辛辛那提动物园和克拉克·蒙特梭利中学的研究区域。在三个研究地点的六个不同的下水道中记录了高分辨率的流量数据(5分钟)。 Clark Montessori高中,非洲萨凡纳动物园以及辛辛那提州立大学的下水道监控地点都有施工前的数据供比较,而辛辛那提动物园的正门入口和辛辛那提州立大学的两个流量监控处只有施工后的流量。可用数据。因此,数据分析方法取决于流配置和数据可用性而有所不同。对于两个下水道组合测试区域中的流量,评估了干燥天气流量并将其从合并流量监控数据中删除,以隔离潮湿天气直接流量的影响。本演讲将回顾数据分析方法,并展示结果,表明在单独的和联合的下水道区域广泛使用绿色基础设施控制措施,有可能显着减少径流量。初步结果和统计分析表明,大多数监测地区的径流量减少了70%以上。正在使用本地校准的WinSLAMM雨水质量和径流模型来预测开发前的条件,以便与那些没有可用的施工前流量数据的站点(即辛辛那提动物园的主要入口)的监测结果进行比较。该模型还将为将流量监控设备放置在其他演示区域中提供指导(在有或没有绿色基础设施控制的情况下预测流量状况)。在所有情况下,都将使用施工前的流量数据来校准该地区的WinSLAMM,以考虑长期监测期间可能发生的降雨变化,并考虑当地场地的发育和土壤特性。与其他雨水控制示范项目相比,该项目具有几个独特的优势,这些优势可以增强我们对这些控制功能的了解:1)研究区域涵盖了一系列尺度,从而增加了对结果进行内插和外推的置信度,尤其是与建模有关的置信度努力。 2)研究区域是分水岭,除了不受控制区域的影响外,还监视该区域内多种雨水控制措施的影响。文献中可获得的大多数雨水监测数据均来自单个设备,并且仅具有进水和出水监测。在大面积上对控制装置进行实际改造,可以对考虑实际场地限制的预期收益进行诚实的评估。 3)在此项目中采用的各种监视策略可以确认具有挑战性的此类项目必须考虑的实验设计属性和监视方法。

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