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Coupling PCSWMM and WASP to Evaluate Green Stormwater Infrastructure Impacts to Storm Sediment Loads in an Urban Watershed
Journal of the American Water Resources Association ( IF 2.6 ) Pub Date : 2020-12-02 , DOI: 10.1111/1752-1688.12896
Sarah Beganskas 1 , Robert J. Ryan 2 , Evelyn Walters 2 , Manahel Soro 3 , Elizabeth Cushman 1 , Laura Toran 1
Affiliation  

We coupled rainfall–runoff and instream water quality models to evaluate total suspended solids (TSS) in Wissahickon Creek, a mid‐sized urban stream near Philadelphia, Pennsylvania. Using stormwater runoff and instream field data, we calibrated the model at a subdaily scale and focused on storm responses. We demonstrate that treating event mean concentrations as a calibration parameter rather than a fixed input can substantially improve model performance. Urban stormwater TSS concentrations vary widely in time and space and are difficult to represent simply. Suspended and deposited sediment pose independent stressors to stream biota and model results suggest that both currently impair stream health in Wissahickon Creek. Retrofitting existing detention basins to prioritize infiltration reduced instream TSS loads by 20%, suggesting that infiltration mitigates sediment more effectively than detention. Infiltrating stormwater from 30% of the watershed reduced instream TSS loads by 47% and cut the frequency of TSS exceeding 100 mg/L by half. Settled loads and the frequency of high TSS values were reduced by a smaller fraction than suspended loads and duration at high TSS values. A widely distributed network of infiltration‐focused projects is an effective stormwater management strategy to mitigate sediment stress. Coupling rainfall–runoff and water quality models is an important way to integrate watershed‐wide impacts and evaluate how management directly affects urban stream health.

中文翻译:

结合PCSWMM和WASP评估绿色雨水基础设施对城市流域中雨水沉积物的影响

我们结合了降雨径流和河流水质模型,以评估宾夕法尼亚州费城附近的中型城市河流Wissahickon Creek的总悬浮固体(TSS)。利用雨水径流和河内野外数据,我们在次日尺度上对模型进行了校准,并集中于暴雨响应。我们证明,将事件平均浓度作为校准参数而不是固定输入可以极大地改善模型性能。城市雨水中TSS的浓度在时间和空间上变化很大,很难简单表示。悬浮泥沙和沉积泥沙构成了独立的压力源来驱动生物群落,模型结果表明,这两种因素都目前正在损害Wissahickon Creek的河流健康。改造现有的滞留池以优先考虑入渗,将河道TSS负荷减少了20%,这表明入渗比滞留更有效地减轻了沉积物。从30%的流域渗入的雨水使TSS的上游流量减少了47%,TSS超过100 mg / L的频率降低了一半。与高TSS值时的悬浮载荷和持续时间相比,沉降载荷和高TSS值的频率降低的幅度较小。以渗透为重点的项目的广泛分布网络是减轻沉积物压力的有效雨水管理策略。耦合降雨-径流和水质模型是整合流域范围影响并评估管理如何直接影响城市河流健康的重要方法。从30%的流域渗入的雨水使TSS的上游流量减少了47%,TSS超过100 mg / L的频率降低了一半。与高TSS值时的悬浮载荷和持续时间相比,沉降载荷和高TSS值的频率降低的幅度较小。以渗透为重点的项目的广泛分布网络是减轻沉积物压力的有效雨水管理策略。耦合降雨—径流和水质模型是整合流域范围影响并评估管理如何直接影响城市河流健康的重要方法。从30%的流域渗入的雨水使TSS的上游流量减少了47%,TSS超过100 mg / L的频率降低了一半。与高TSS值时的悬浮负载和持续时间相比,稳定的负载和高TSS值的频率降低的幅度较小。以渗透为重点的项目的广泛分布网络是减轻沉积物压力的有效雨水管理策略。耦合降雨—径流和水质模型是整合流域范围影响并评估管理如何直接影响城市河流健康的重要方法。以渗透为重点的项目的广泛分布网络是减轻沉积物压力的有效雨水管理策略。耦合降雨—径流和水质模型是整合流域范围影响并评估管理如何直接影响城市河流健康的重要方法。以渗透为重点的项目的广泛分布网络是减轻沉积物压力的有效雨水管理策略。耦合降雨-径流和水质模型是整合流域范围影响并评估管理如何直接影响城市河流健康的重要方法。
更新日期:2021-02-07
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