JOURNAL ARTICLE

Urban flood simulation based on the SWMM model

Lijuan JiangYangbo ChenHailong Wang

Year: 2015 Journal:   Proceedings of the International Association of Hydrological Sciences Vol: 368 Pages: 186-191   Publisher: Copernicus Publications

Abstract

Abstract. China is the nation with the fastest urbanization in the past decades which has caused serious urban flooding. Flood forecasting is regarded as one of the important flood mitigation methods, and is widely used in catchment flood mitigation, but is not widely used in urban flooding mitigation. This paper, employing the SWMM model, one of the widely used urban flood planning and management models, simulates the urban flooding of Dongguan City in the rapidly urbanized southern China. SWMM is first set up based on the DEM, digital map and underground pipeline network, then parameters are derived based on the properties of the subcatchment and the storm sewer conduits; the parameter sensitivity analysis shows the parameter robustness. The simulated results show that with the 1-year return period precipitation, the studied area will have no flooding, but for the 2-, 5-, 10- and 20-year return period precipitation, the studied area will be inundated. The results show the SWMM model is promising for urban flood forecasting, but as it has no surface runoff routing, the urban flooding could not be forecast precisely.

Keywords:
Storm Water Management Model Flood myth Flooding (psychology) Urbanization Environmental science Return period HEC-HMS Surface runoff Hydrology (agriculture) Flood mitigation Flood stage Precipitation Storm Water resource management 100-year flood Meteorology Geography Stormwater Engineering

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7
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0.90
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Citation History

Topics

Flood Risk Assessment and Management
Physical Sciences →  Environmental Science →  Global and Planetary Change
Hydrology and Watershed Management Studies
Physical Sciences →  Environmental Science →  Water Science and Technology
Hydrological Forecasting Using AI
Physical Sciences →  Environmental Science →  Environmental Engineering

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