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Using Subcatchment Monitoring Data to Prioritize Stormwater Treatment Control Placement: A New Statistical Methodology

机译:利用子汇水面积监测数据确定雨水处理控制布置的优先次序:一种新的统计方法

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摘要

Since the inception of this statistical approach, runoff samples have continued to be collected during the wet season, and the ranking process will continue to be repeated annually, thereby increasing statistical significance in the complete dataset while allowing for the evaluation of effects of implemented treatment controls and changing site conditions (BMP construction, impacted soil removal, etc.). Early results of this approach have indicated that using a rigorously statically approach that allows for flexibility in BMP siting requirements that is both compliant and cost effective. An example outcome of the utilization of this statistical approach for siting new BMPs is from 2013, when an innovative outlet-controlled biofilter with engineered media was installed to address runoff from an onsite parking area. This biofilter was given the 2013 Outstanding Stormwater BMP Implementation Project Award by the California Stormwater Quality Association. Figure 4 is a photo of this biofilter as it today.
机译:自从采用这种统计方法以来,在雨季一直在收集径流样品,并且将继续每年重复进行排名过程,从而提高了完整数据集中的统计显着性,同时允许评估已实施的处理措施的效果以及不断变化的场地条件(BMP施工,受影响的土壤去除等)。这种方法的早期结果表明,使用严格的静态方法可以灵活地满足BMP选址要求,并且符合成本效益。从2013年开始,利用这种统计方法为新的BMP选址的示例结果是,安装了带有工程介质的创新的出口控制生物滤池,以解决现场停车场​​的径流问题。该生物滤池获得了加利福尼亚雨水质量协会颁发的“ 2013年杰出雨水BMP实施项目奖”。图4是今天的这种生物滤池的照片。

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