Urban Inundation under Different Rainstorm Scenarios in Lin’an City, China

Abstract

Under the circumstances of global warming and rapid urbanization, damage caused by urban inundation are becoming increasingly severe, attracting the attention of both researchers and governors. The accurate simulation of urban inundation is essential for the prevention of inundation hazards. In this study, a 1D pipe network and a 2D urban inundation coupling model constructed by InfoWorks ICM was used to simulate the inundation conditions in the typical urbanized area in the north of Lin’an. Two historical rainfall events in 2020 were utilized to verify the modeling results. The spatial–temporal variation and the causes of urban inundation under different designed rainfalls were studied. The results were as follows: (1) The constructed model had a good simulation accuracy, the Nash–Sutcliffe efficiency coefficient was higher than 0.82, R2 was higher than 0.87, and the relative error was ±20%. (2) The simulation results of different designed rainfall scenarios indicated that the maximum inundation depth and inundation extent increased with the increase in the return period, rainfall peak position coefficient, and rainfall duration. According to the analysis results, the urban inundation in Lin’an is mainly affected by topography, drainage network (spatial distribution and pipe diameter), and rainfall patterns. The results are supposed to provide technical support and a decision-making reference for the urban management department of Lin’an to design inundation prevention measures.

Urban Flood Inundation Probability Assessment Based on an Improved Bayesian Model

“…It is confirmed that both drainage network density and elevation are important factors for the probability of urban flood inundation. On a small scale, such as a 1 km resolution, topography and drainage mainly determine the inundation level (Chen et al 2022). Because Jingdezhen City is located along the Changjiang River, fluvial floods also affect urban inundation.…”

Mapping Compound Flooding Risks for Urban Resilience in Coastal Zones: A Comprehensive Methodological Review

“…However, in the fullprocess simulation of urban floods, the 2D model does not account for the influence of underground drainage pipes, which is a limitation. Therefore, to enhance the accuracy of coastal city flood simulations, many researchers have focused on the coupling of 1D drainage network models with 2D surface flow models [96][97][98][99]. By establishing a fluid exchange between the 2D and 1D models, a more comprehensive urban flood model can be constructed.…”

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. 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.…”

“…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.…”