Process-oriented SWMM real-time correction and urban flood dynamic simulation

Ma, Bingyan; Wu, Zening; Hu, Caihong; Wang, Shuangfeng; Xu, Hongshi; Yan, Denghua; Soomro, Shan‐e‐hyder

doi:10.1016/j.jhydrol.2021.127269

Cited by 46 publications

(8 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Under the design rainfall condition of P = 5a, the time step of the model simulation was set to 20 min (Fletcher et al 2013). The SWMM in the study area was run, and the dynamic water (Ma et al 2022) levels of some nodes in the road section were displayed in the form of pro le diagrams. The results are shown in Fig.…”

Section: Dynamic Analysis Of Water Level At Typical Nodesmentioning

confidence: 99%

Overflow simulation and optimization of a drainage system in an urban area in northern Anhui Plain

Wan,

Li,

Zhang

et al. 2023

Preprint

View full text Add to dashboard Cite

Quantitative simulation of urban waterlogging using computer models is an effective technical means for urban stormwater management, especially for predicting and preventing waterlogging. In this study, a city in northern Anhui Plain, China, was selected as the study site. The Storm Water Management Model was applied to simulate the dynamic changes in the pipeline overload, node overflow, and discharge port runoff characteristics from three perspectives: surface runoff, pipe network transmission, and flow control of low-impact development. The operation of the rainwater pipe network under different return periods and the real-time operation of the rainwater pipe network were simulated to seek solutions to urban waterlogging problems caused by flat terrain and slow drainage. The results revealed that surface runoff is the primary source of rainfall in the study area, with a runoff coefficient of 0.599. The drainage pipe network was optimized by expanding the diameter of the pipe from ≤ 1.5 mm to ≥ 2 mm. The water reduction rate was more than 50%, and overload did not occur after optimization. Therefore, sinking greenspace technology and optimization methods for expanding the pipe diameter can reduce urban waterlogging.

show abstract

Section: Dynamic Analysis Of Water Level At Typical Nodesmentioning

confidence: 99%

Overflow simulation and optimization of a drainage system in an urban area in northern Anhui Plain

Wan,

Li,

Zhang

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The Storm Water Management Model (SWMM) is a classic hydrodynamic model [3] that employs nonlinear reservoir-based methods for determining surface runoff and constant flow, kinematic waves, or dynamic wave algorithms for pipe network routing [4]. It was developed by the United States Environmental Protection Agency in 1971 and has undergone over 50 years of iterative updates, encompassing five major iterations.…”

Section: Introductionmentioning

confidence: 99%

A Coupled Parameter Automation Calibration Module for Urban Stormwater Modelling

Gu,

Sun,

Gao

et al. 2024

Water

View full text Add to dashboard Cite

In the context of accelerating urbanisation, the issue of urban stormwater flooding security has garnered increasing attention. Further development of urban stormwater management techniques is imperative to achieve more stable, precise, and expeditious simulation outcomes. The calibration of model parameters, which is a pivotal phase in stormwater simulation endeavours, is hampered by challenges such as substantial subjectivity, time intensiveness, and low efficiency. Therefore, this study introduces a parameter calibration model coupled with the Non-dominated Sorting Genetic Algorithm III (NSGA-III). This model utilises the Nash–Sutcliffe efficiency (NSE) and peak relative error (PE) values for various rainfall events as objective functions to calibrate and assess the study target. The two rainfalls used for rate determination had NSE values greater than 0.9 and absolute PE values less than 0.17; the rainfall used for validation had NSE values greater than 0.9 and absolute PE values less than 0.27. Thus, the results of the model for the rate determination of the parameters are reliable. In addition, the inverted generation distance and hypervolume values indicate that the iterative process of the algorithm during population evolution demonstrated stable iterative outcomes and ensured sound population quality. Both reach relative stability after 40 iterations. In conclusion, the proposed multi-objective parameter calibration model integrated with NSGA-III offers dependable calibration results and robust computational efficacy, presenting novel avenues and perspectives for urban stormwater model parameter calibration and simulation.

show abstract

“…Consequently, there has been a gradual hardening of the urban substratum (Yang et al, 2022), an increase in impermeable areas, and a decrease in the time available for precipitation to be captured (Yang et al, 2021). These changes have inflicted damage upon the city's surface drainage system and rendered the existing drainage infrastructure inadequate to cope with the demands of urban growth, thereby exacerbating the impact of stormwater flooding on urban flood safety.Therefore, it is of great practical importance to carry out storm water flood simulation studies in cities and to delineate flood risk assessment maps (Ma et al 2022;Wang et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Urban flooding risk assessment from an categorical regression-analytic hierarchy process

Ren

Wei

Wang

et al. 2023

Preprint

View full text Add to dashboard Cite

The rapid development of urbanization and the impact of human activities have increased the impermeability of urban underlying surfaces, and the drainage capacity of urban drainage systems cannot meet the needs of cities, leading to frequent urban waterlogging. Taking the main urban area of Fuxin City in Liaoning Province as an example, this paper establishes a coupled hydrodynamic model based on Infoworks ICM model to simulate urban waterlogging. Six index factors are chosen for categorical regression(CATREG) and the analytic hierarchy process(AHP) to establish a model for waterlogging risk assessment by analyzing the three components of the urban waterlogging disaster system, the hazard-causing factors, the hazard-forming environment, and the disaster-affected body. The scenario simulation results and the index system technique are used to develop an urban waterlogging risk assessment model, and GIS spatial analysis technology is used to create an intuitive risk assessment map. The findings reveal that: (1) the optimal coupling of several risk assessment models for urban flooding risk assessment improves the assessment results' comprehensiveness and integration, and can provide a stable foundation for urban flooding management. (2) The dense distribution of pipelines in the study area's city center and the distribution of water outlets in the city's southern part have resulted in the distribution of flood-prone spots in the city's southern part, and reconstruction of underground pipeline networks and the construction of drainage pumping stations should be completed around it to reduce the risk level of this area.

show abstract

Process-oriented SWMM real-time correction and urban flood dynamic simulation

Cited by 46 publications

References 43 publications

Overflow simulation and optimization of a drainage system in an urban area in northern Anhui Plain

Overflow simulation and optimization of a drainage system in an urban area in northern Anhui Plain

A Coupled Parameter Automation Calibration Module for Urban Stormwater Modelling

Urban flooding risk assessment from an categorical regression-analytic hierarchy process

Contact Info

Product

Resources

About