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.
High Accurate Intersection Flow Distribution Algorithm and Its Integration with SWMM
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第40卷
Number:
第7期
Page:
130-136
Column:
Date of publication:
2024-04-01
- Keywords:
- urban waterlogging; roadway drainage; SWMM; intersection; flow distribution
- 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.
Last Update:
2024-04-01