SHAOZhi-yu,WANGFei,LIShuang,et al.High Accurate Intersection Flow Distribution Algorithm and Its Integration with SWMM[J].China Water & Wastewater,2024,40(7):130-136.
高精度道路交叉口流量分配算法及与SWMM集成
- Title:
- High Accurate Intersection Flow Distribution Algorithm and Its Integration with SWMM
- Keywords:
- urban waterlogging; roadway drainage; SWMM; intersection; flow distribution
- 摘要:
- 高重现期降雨情景下，城市道路作为地表行泄通道联合雨水管道快速排放暴雨径流，可大幅度提高城市内涝防治水平，但存在着排涝流量在道路交叉口下游难以精确界定的问题。SWMM是目前最常用的城市雨洪管理模型，但由于其为一维模型，无法模拟道路交叉口处的复杂流动特征，故在计算交叉口的流量分配方面存在较大误差。为此以山地和丘陵城市一进两出T型道路交叉口为研究对象，在高重现期降雨条件下，通过综合考虑质量、动量以及能量三大守恒，建立交叉口流量分配计算的非线性控制方程，并利用Matlab软件进行求解，构建了关于道路交叉口的高精度流量分配算法。在此基础上，获取交叉口流量分配曲线，再据此定义SWMM中出水口属性，从而实现算法与SWMM的集成。从与SWMM现有的两种计算交叉口流量分配方法的模拟结果对比可以看出，该集成算法的计算精度显著优于SWMM普通节点和堰流分流方法，与前人的实验结果最为接近。其中，该流量分配算法的计算结果与Mizumura经验公式法的误差≤6.7%，与Kesserwani二维数值模型法的误差≤4.6%，计算精度得到显著提升。
- Abstract:
- As surface drainage channels, the urban roads can rapidly discharge storm runoff combined with rainwater pipeline under rainfall scenarios with high return period, which can greatly improve the urban waterlogging prevention and control efficiency. However, there is a problem that the drainage flow downstream of the road intersection is difficult to be accurately determined. SWMM is hitherto the most commonly used urban stormwater management model. However, it can not simulate the complex flow characteristics at road intersections because it is a one-dimensional model, and there are large errors in calculating the flow distribution at intersections. This paper established a nonlinear control equation for calculating flow distribution at a T-type road intersection in a mountainous and hilly city, solved it by using Matlab software, and eventually established the high accurate intersection flow distribution algorithm by comprehensively considering the conservation of mass, momentum and energy under rainfall scenarios with high return period. On this basis, the intersection flow distribution curve was obtained, and the discharge outlet attributes in SWMM were defined accordingly, so as to realize the integration of the algorithm and SWMM. Compared with the simulation results of two existing methods of SWMM for calculating intersection flow distribution, the calculation accuracy of this integrated algorithm was significantly better than that of SWMM’s common node and weir flow diversion methods, and it was the closest to the previous experimental results. Among them, the error between the calculation results of this flow distribution algorithm and Mizumura empirical formula method was no more than 6.7%, and the error between the calculation results of this flow distribution algorithm and Kesserwani two-dimensional numerical model method was no more than 4.6%, indicating that the calculation accuracy was significantly improved.
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