A Novel SWMM Based Algorithm Application to Storm Sewer Network Design
AbstractAn automated algorithm based on the dynamic hydrological and hydraulic simulation modules in Storm Water Management Model (SWMM) was developed to aid the design of storm sewer networks, provided that a layout is given. Numerical performance of the proposed algorithm was compared with the existing design methods with two application cases. The automated computation process of the sewer network design was divided into two stages and solved iteratively, determining pipe diameter and pipe slope, respectively. In the first stage, starting with a set of initial values including pipe diameter, pipe cover depth, and ground elevation at manholes, the iteration was carried out from the downstream to the upstream while the pipe slopes of the network were assumed to be fixed and the diameter of each pipe segment was calculated. In the second stage, pipe diameters calculated from the first stage were fixed and the pipe slopes were calculated successively from the downstream pipe segment to the upstream pipe segment. Every time the diameter or slope of a pipe segment was adjusted, the pipe flow rate, velocity, and flow depth were obtained by running SWMM hydrological and hydraulic simulation modules. The iteration terminated once the combination scheme of pipe diameters and slopes met the design ordinance which requires the pipe flows full under gravity in a design return period. A real urban sewer system in a hilly city and a benchmark sewer network from the literature were tested to validate the proposed automated algorithm, and good performance was shown. The automated design results explicitly show that the proposed storm sewer design approach leads to a quality solution with reduced computational effort. View Full-Text
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Shao, Z.; Zhang, X.; Li, S.; Deng, S.; Chai, H. A Novel SWMM Based Algorithm Application to Storm Sewer Network Design. Water 2017, 9, 747.
Shao Z, Zhang X, Li S, Deng S, Chai H. A Novel SWMM Based Algorithm Application to Storm Sewer Network Design. Water. 2017; 9(10):747.Chicago/Turabian Style
Shao, Zhiyu; Zhang, Xiaoyuan; Li, Shuang; Deng, Shihu; Chai, Hongxiang. 2017. "A Novel SWMM Based Algorithm Application to Storm Sewer Network Design." Water 9, no. 10: 747.
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