Research on Urban Storm Flood Simulation by Coupling K-means Machine Learning Algorithm and GIS Spatial Analysis Technology into SWMM Model

Liu, Chengshuai; Hu, Caihong; Zhao, Chenchen; Sun, Yue; Xie, Tianning; Wang, Huiliang

doi:10.1007/s11269-024-03743-w

Cited by 1 publication

(1 citation statement)

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“…Amid global warming and swift urbanization, cities worldwide are facing evolving challenges such as escalating urbanization rates, shifting rainfall and flood dynamics pattern, increasing instances of extreme weather, and a continual decrease in urban soil infiltration capacities (Liu et al,2024;Zhao et al,2023). Concurrently, urban areas are seeing a rise in surface runoff and demand for efficient water discharge (Yavari et al,2022), while existing urban drainage infrastructures lag behind relatively, becoming increasingly inadequate for managing urban floods (Qi et al,2021;Yao et al,2023), consequently, urban flooding incurs significant annual losses globally (Ahmad and Simonovic,2013).…”

Section: Introductionmentioning

confidence: 99%

Assessing the effects of sponge city construction in Beijing with an improved coupled hydrologic-hydrodynamic model

Cheng,

Yang,

et al. 2024

Preprint

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Low Impact Development (LID) theory represents a new paradigm for sustainable urban development, focusing on enhancing stormwater management, mitigating urban flooding, and reinforcing urban planning. In this study, we select Tongzhou District in Beijing as study area, establish an improved coupled hydrologic-hydrodynamic model based on SWMM and TELEMAC-2D model that integrates the dynamics of surface, pipeline networks, and river channels through one-way coupling method. The drainage capacity of pipe network and surface inundation under rainfall during different recurrence periods were simulated and analyzed. The results show that the concept of LID, also known as sponge city transformation in China, offers significant flood mitigation benefits for the megacities. As rainfall return periods increase, the number of overflow nodes and overloaded pipelines is observed by increase rapidly and become stable in study area. Specifically, under 100 year return period rainfall scenario, the original model projected a maximum inundation depth of 0.407m and an overflow node proportion of 20.8%. Through the comparison simulation result of coupling model suggest prioritizing the reconstruction of pipelines under the first-grade roads and overpasses, followed by LID rebuilding around the river to effectively increase urban infiltration rate and mitigate river overflow risks.

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Section: Introductionmentioning

confidence: 99%