Urban storm flood simulation using improved SWMM based on K‐means clustering of parameter samples

Abstract

To address the two problems of unclear delineation of sub-catchment and complicated and cumbersome parameter rate determination in the Storm Water Management Model (SWMM), this study proposes a rapid construction method of SWMM based on the principle of single urban functional area combined with K-means clustering algorithm, The research area is the southern part of Jinshui District, Zhengzhou City. The Hydrological Response Unit (HRU) contains only a single urban functional area, divided by combining the natural and social attributes of the urban surface. Calibrated uncertain parameters from 76 papers were selected as samples, and the K-means clustering algorithm was used to cluster and calculate the parameter values, to improve the SWMM model, selecting three typical rainfall runoff processes for validation application. The results show that simulated runoff is consistent with measured runoff trends, with the NSE and R 2 value scores of the flow processes of the three floods above 0.86 and the, locations and numbers of flooded nodes are consistent with the actual research. This provides a new idea and technical support for the construction of urban flood models in flood prevention and mitigation. The relevant results can provide scientific decisionmaking reference for urban flood forecasting and warning.

A coordinated drainage and regulation model of urban water systems in China: A case study in Fuzhou city

“…2D hydrodynamic modeling is often used to simulate the evolution of the vertical and horizontal flow velocity distribution in areas such as urban surfaces, rivers, and lakes. Mainstream simulation software for urban flood and waterlogging disasters includes SWMM (Koc et al, 2021;Paule-Mercado et al, 2017;Rai et al, 2018;Sun et al, 2022;Y. Yang et al, 2021;Zeng et al, 2021), HEC-RAS (Bush et al, 2022;Shustikova et al, 2019;Tamiru & Wagari, 2022;Vozinaki et al, 2017), LISFLOOD-FP (Z.…”

“…2D hydrodynamic modeling is often used to simulate the evolution of the vertical and horizontal flow velocity distribution in areas such as urban surfaces, rivers, and lakes. Mainstream simulation software for urban flood and waterlogging disasters includes SWMM (Koc et al, 2021; Paule‐Mercado et al, 2017; Rai et al, 2018; Sun et al, 2022; Y. Yang et al, 2021; Zeng et al, 2021), HEC‐RAS (Bush et al, 2022; Shustikova et al, 2019; Tamiru & Wagari, 2022; Vozinaki et al, 2017), LISFLOOD‐FP (Z. Liu & Merwade, 2018; Wilson et al, 2007; X. Wu, Wang, et al, 2018), InfoWorks ICM (Chen et al, 2022; Hosseinzadehtalaei et al, 2021; Peng et al, 2016; Z. Zhu et al, 2016), MIKE (Bisht et al, 2016; C. Q. Li & Wang, 2012; H. L. Liu et al, 2007; M. M. Rahman et al, 2011), and FLO‐2D (Erena et al, 2018; Hsu et al, 2010; M. H. Li et al, 2011). In addition, variations in the flow fields of some key areas, including estuaries, coasts, water pumps, and sluices, are also simulated with 3D hydrodynamic modeling, while the anisotropy of fluids is fully considered.…”

Assessment of the sub-urban drainage system resilience on the increased flooding scenario using Storm Water Management Model (SWMM)

“…In this paper, Storm Water Management Model (SWMM) version 5.1 was IOP Publishing doi:10.1088/1755-1315/1347/1/012018 2 used to simulate the drainage network for a selected sub-urban catchment at Tanjung Bundong in Kota Samarahan, Sarawak. SWMM had been used for planning, analysis, design related to stormwater runoff and other drainage systems; for instances, to simulate drainage channels [4], [5] and flooding evaluation due to the inadequacy of the drainage system [6], [7]. The aim of this paper is to assess the performance of the existing drainage network which consists of earthen canal and concrete drain.…”