Assessing the Use of Dual-Drainage Modeling to Determine the Effects of Green Stormwater Infrastructure on Roadway Flooding and Traffic Performance
Assessing the Use of Dual-Drainage Modeling to Determine the Effects of Green Stormwater Infrastructure on Roadway Flooding and Traffic Performance
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DOI：
10.3390/w13111563
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发表时间：
2021-06-01
期刊：
影响因子：
3.4
通讯作者：
Chen, Suren
中科院分区：
文献类型：
--
作者：
Knight, Kathryn L.;Hou, Guangyang;Chen, Suren
绿色雨水基础设施(GSI)越来越多地被用来减少雨水对地下雨水网络的输入。本文利用双排水模型研究了GSI如何与地表径流和雨水结构相互作用，从而影响道路洪水的空间范围和分布，以及随后对交通系统性能的影响。该模型使用PCSWMM(个人计算机雨水管理模型)模拟了科罗拉多州丹佛市哈佛峡谷的道路洪水，然后使用城市机动性模拟模型(SUMO)进行了微观交通模拟。我们研究了将1%到5%的直接连接不渗透面积(DCIA)转换为生物保留GSI对道路淹水的影响。结果表明，即使将1%的DCIA转化为GSI，巷道淹水的范围和平均深度也会减小。不断增加的GSI转化率进一步降低了道路淹水深度和程度，尽管转换为GSI的DCIA每增加一个百分比的回报会递减。减少道路洪水导致平均车辆速度增加，受洪水影响的道路百分比和总旅行时间减少。我们发现，每增加一个DCIA转换为GSI的百分比，道路洪水减少的回报就会递减。今后将开展工作，以减少模型验证数据不足的主要限制。详细的双排水模型有可能更好地预测什么GSI策略将缓解道路洪水。
Green stormwater infrastructure (GSI) is increasingly used to reduce stormwater input to the subsurface stormwater network. This work investigated how GSI interacts with surface runoff and stormwater structures to affect the spatial extent and distribution of roadway flooding and subsequent effects on the performance of the traffic system using a dual-drainage model. The model simulated roadway flooding using PCSWMM (Personal Computer Stormwater Management Model) in Harvard Gulch, Denver, Colorado, and was then used in a microscopic traffic simulation using the Simulation of Urban Mobility Model (SUMO). We examined the effect of converting between 1% and 5% of directly connected impervious area (DCIA) to bioretention GSI on roadway flooding. The results showed that even for 1% of DCIA converted to GSI, the extent and mean depth of roadway flooding was reduced. Increasing GSI conversion further reduced roadway flooding depth and extent, although with diminishing returns per additional percentage of DCIA converted to GSI. Reduced roadway flooding led to increased average vehicle speeds and decreased percentage of roads impacted by flooding and total travel time. We found diminishing returns in the roadway flooding reduction per additional percentage of DCIA converted to GSI. Future work will be conducted to reduce the main limitations of insufficient data for model validation. Detailed dual-drainage modeling has the potential to better predict what GSI strategies will mitigate roadway flooding.