Using rainfall measures to evaluate hydrologic performance of green infrastructure systems under climate change
Using rainfall measures to evaluate hydrologic performance of green infrastructure systems under climate change
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DOI：
10.1080/23789689.2019.1681819
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发表时间：
2019-11
影响因子：
5.9
通讯作者：
L. Cook;J. Vanbriesen;C. Samaras
中科院分区：
文献类型：
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作者：
L. Cook;J. Vanbriesen;C. Samaras
随着气候变化改变降水模式，利益相关者需要了解绿色雨水基础设施（GSI）的性能如何变化。作为使用现场监测的替代方案，这可能并不总是可行的，我们建议使用年降雨量测量（例如，每年的最大日降雨量）来跟踪性能的变化。我们通过与特定性能指标（例如，排放频率）建立线性关系，使用降雨测量方法估计了17个美国城市的GSI性能。通过比较区域气候模式（RCMs）对2020 - 2060年2个城市降水趋势的预测结果与SWMM的模拟结果，评估了其预测精度。研究结果表明，跟踪降雨措施可以通过预测变化的方向，以及25%至50%变化范围内的幅度，为绿色基础设施的水文性能提供洞察。
ABSTRACT As climate change alters precipitation patterns, stakeholders will need to understand how performance of green stormwater infrastructure (GSI) could change in response. As an alternative to using on-site monitoring, which may not always feasible, we propose that changes in performance could be tracked using annual rainfall measures (e.g., maximum daily rainfall per year). We estimated performance of GSI in 17 U.S. cities using rainfall measures by establishing linear relationships with specific performance metrics (e.g., frequency of discharge). Prediction accuracy was evaluated in 2 cities for the period 2020 to 2060 by comparing performance predicted from rainfall trends from regional climate models (RCMs) with simulated performance in SWMM using the same RCMs as input. Findings suggest that tracking rainfall measures can provide insight into the hydrologic performance of green infrastructure by predicting the direction of change, as well as, the magnitude within 25% to 50% percent change.