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Performance Analysis for Road-Bioretention with Three Types of Curb Inlet Using Numerical Model
Water ( IF 3.4 ) Pub Date : 2021-06-11 , DOI: 10.3390/w13121643
Xiaoning Li , Xing Fang , Chuanhai Wang , Gang Chen , Shiwei Zheng , Yue Yu

The FullSWOF-ZG (Full Shallow Water Overland Flow with infiltration determined by Zones and Grate-inlet submodules) program was used to simulate the road-bioretention (RB) stripe and evaluate the performance of the RB stripe with three types of curb inlet. The program was revised from the open-source FullSWOF-2D program and the validation results indicated FullSWOF-ZG predicts the RB stripe performance accurately. The model cases of 27 RB with different longitude slopes (S0), cross slopes (Sx), and curb inlet lengths (Lci) for the undepressed, composite depressed, and local depressed curb inlets were established in this study. Therefore, 81 cases in total were simulated to explore the curb inlet type and design parameter’s influence on the RB stripe performance. Overall, it was found that the bioretention control efficiency will increase with the S0 decrease, Sx increase, and Lci increase. The composite depressed curb inlet was the most efficient to intercept the road runoff into the bioretention strip, the next best is the local depressed curb inlet, and the undepressed curb inlet was the least efficient. The curb inlet and grate inlet combination in composite depressed curb inlet cases were able to deal with all the road surface runoff for the small longitudinal slope (S0 = 0.1% and 0.3%) to relieve the road local flood inundation.

中文翻译:

三种路缘入口道路生物滞留性能的数值模型分析

FullSWOF-ZG(全浅水陆上流,由区域和格栅入口子模块确定的渗透)程序用于模拟道路生物滞留 (RB) 条带,并评估具有三种类型路缘入口的 RB 条带的性能。该程序由开源的 FullSWOF-2D 程序修改而来,验证结果表明 FullSWOF-ZG 准确预测了 RB 条带性能。不同经度坡度(S 0)、横坡度(S x)和路缘入口长度(L ci)的 27 RB 模型案例) 用于未凹陷的、复合凹陷的和局部凹陷的路缘入口在本研究中建立。因此,共模拟了81个案例,以探讨路缘入口类型和设计参数对RB条纹性能的影响。总体而言,发现生物滞留控制效率将随着S 0 的降低、S x 的增加和L ci 的增加而增加增加。复合凹陷路缘入口拦截进入生物滞留带的道路径流最有效,其次是局部凹陷路缘入口,未凹陷路缘入口效率最低。复合凹陷型路缘进水口的路缘进水口和篦篦进水口组合能够处理小纵向坡度(S 0 = 0.1%和0.3%)的所有路面径流,缓解道路局部洪水淹没。
更新日期:2021-06-11
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