Hydrological reduction and control effect evaluation of sponge city construction based on one-way coupling model of SWMM-FVCOM: A case in university campus

Tan, Yuqing; Cheng, Qiming; Lyu, Fengwei; Liu, Fei; Liu, Linhao; Su, Yihong; Yuan, Shaochun; Xiao, Wenyu; Liu, Zhen; Chen, Yao

doi:10.1016/j.jenvman.2023.119599

Cited by 8 publications

(4 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SWMM (Storm Water Management Model) is a distributed hydrological and hydrodynamic modeling tool developed by the U.S. Environmental Protection Agency (EPA). It is primarily utilized for simulating urban water quantity and quality over single events or extended periods (Tan et al,2024). SWMM is extensively applied in the numerical simulation of urban flood, design and planning of urban pipe networks, analysis of Low Impact Development (LID) measures on rainwater management among other studies (Jeung et al,2023;Xu et al,2022;.…”

Section: Swmm Modelmentioning

confidence: 99%

“…Thus, the development and application of precise, efficient urban flood simulation methodologies are critical. It not only support the enhancement of urban flood control and drainage infrastructure but also provide a meticulous assessment of sponge city projects, underscoring their importance in urban planning and resilience strategies (Tan et al,2024).…”

Section: Introductionmentioning

confidence: 96%

See 1 more Smart Citation

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

Cheng,

Yang,

et al. 2024

Preprint

View full text Add to dashboard Cite

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.

show abstract

Section: Swmm Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

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

Cheng,

Yang,

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…where h represents the water depth (m), u and v represent the velocities in the x and y directions, respectively (m/s), S 0,x and S 0,y represent the bed slopes in the x and y directions, respectively, S f,x and S f,y represent the frictional forces in the x and y directions, respectively, q 1D denotes the discharge per unit area (m 3 /s), and u 1D and v 1D represent the velocities of q 1D in the x and y directions, respectively (m/s). Next, 120 rainfall scenarios comprising six common rainfall patterns in Zhengzhou (Figure 4) combined with 20 return periods (1,2,3,4,5,7,10,20,30,40,50,70,100,200, 300, 400, 500, 700, 800, and 1000a) were input into the InfoWorks ICM model to simulate the water depth for each triangular mesh. Finally, a heavy rainfall inundation dataset was constructed based on the design rainfall data and simulated results from the InfoWorks ICM model.…”

Section: ∂(Hv) ∂Tmentioning

confidence: 99%

“…To effectively address this challenge, some scholars have conducted in-depth research on measures to mitigate waterlogging disasters. Firstly, sponge cities represent an important engineering measure of reducing urban waterlogging disasters [8][9][10][11]. Facilities associated with sponge city construction perform functions such as infiltration, retention, storage, and purification.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Mitigation Effect of Urban River Channel Flood Diversion on Waterlogging Disasters Based on Deep Learning

Sun,

Zhu,

Zhang

et al. 2024

Water

View full text Add to dashboard Cite

In recent years, urban waterlogging disasters have become increasingly prominent. Physically based urban waterlogging simulation models require considerable computational time. Therefore, rapid and accurate simulation and prediction of urban pluvial floods are important for disaster prevention and mitigation. For this purpose, we explored an urban waterlogging prediction method based on a long short-term memory neural network model that integrates an attention mechanism and a 1D convolutional neural network (1DCNN–LSTM–Attention), using the diversion of the Jinshui River in Zhengzhou, China, as a case study. In this method, the 1DCNN is responsible for extracting features from monitoring data, the LSTM is capable of learning from time-series data more effectively, and the Attention mechanism highlights the impact of features on input effectiveness. The results indicated the following: (1) The urban waterlogging rapid prediction model exhibited good accuracy. The Pearson correlation coefficient exceeded 0.95. It was 50–100 times faster than the InfoWorks ICM model. (2) Diversion pipelines can meet the design flood standard of a 200-year return period, aligning with the expected engineering objectives. (3) River channel diversion significantly reduced the extent of inundation. Under the 30-year return period rainfall scenario, the maximum inundation area decreased by 1.46 km2, approximately equivalent to 205 international standard soccer fields.

show abstract

Method for analyzing urban waterlogging mechanisms based on a 1D-2D water environment dynamic bidirectional coupling model

Luan,

Hou,

Wang

et al. 2024

Journal of Environmental Management

View full text Add to dashboard Cite

Hydrological reduction and control effect evaluation of sponge city construction based on one-way coupling model of SWMM-FVCOM: A case in university campus

Cited by 8 publications

References 46 publications

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

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

Analyzing the Mitigation Effect of Urban River Channel Flood Diversion on Waterlogging Disasters Based on Deep Learning

Method for analyzing urban waterlogging mechanisms based on a 1D-2D water environment dynamic bidirectional coupling model

Contact Info

Product

Resources

About