Linking a Storm Water Management Model to a Novel Two-Dimensional Model for Urban Pluvial Flood Modeling

Yuhan Yang; Leifeng Sun; Ruonan Li; Jie Yin; Dapeng Yu

doi:10.1007/s13753-020-00278-7

Article Contents

Article Navigation > International Journal of Disaster Risk Science > 2020 > 11(4): 508-518

Yuhan Yang, Leifeng Sun, Ruonan Li, Jie Yin, Dapeng Yu. Linking a Storm Water Management Model to a Novel Two-Dimensional Model for Urban Pluvial Flood Modeling[J]. International Journal of Disaster Risk Science, 2020, 11(4): 508-518. doi: 10.1007/s13753-020-00278-7

Citation:

Yuhan Yang, Leifeng Sun, Ruonan Li, Jie Yin, Dapeng Yu. Linking a Storm Water Management Model to a Novel Two-Dimensional Model for Urban Pluvial Flood Modeling[J]. International Journal of Disaster Risk Science, 2020, 11(4): 508-518. doi: 10.1007/s13753-020-00278-7

Citation:

PDF

Linking a Storm Water Management Model to a Novel Two-Dimensional Model for Urban Pluvial Flood Modeling

doi: 10.1007/s13753-020-00278-7

Yuhan Yang^1,2,
Leifeng Sun^1,2,
Ruonan Li^1,2,
Jie Yin^{1,2,3
,
,},
Dapeng Yu⁴

1 Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China;
2 School of Geographic Sciences, East China Normal University, Shanghai 200241, China;
3 Institute of Eco-Chongming, East China Normal University, Shanghai 200241, China;
4 Department of Geography, Loughborough University, Loughborough LE11 3TU, UK

Funds:

This study was supported by the National Key Research and Development Program of China (Grant Nos.: 2018YFC1508803, 2017YFE0107400, 2017YFE0100700), the National Natural Science Foundation of China (Grant Nos.: 41871164, 51761135024), the National Social Science Fund of China (Grant No.: 18ZDA105), the Humanities and Social Sciences Project of the Ministry of Education of China (Grant No.: 17YJAZH111), the Key Project of Soft Science Research of Shanghai (Grant No.: 19692108100), and the Fundamental Research Funds for the Central Universities (Grant Nos.: 2018ECNU-QKT001, 2017ECNU-KXK013).

Available Online: 2021-04-26

Abstract

Abstract

This article describes a new method of urban pluvial flood modeling by coupling the 1D storm water management model (SWMM) and the 2D flood inundation model (ECNU Flood-Urban). The SWMM modeling results (the overflow of the manholes) are used as the input boundary condition of the ECNU Flood-Urban model to simulate the rainfall–runoff processes in an urban environment. The analysis is applied to the central business district of East Nanjing Road in downtown Shanghai, considering 5-, 10-, 20-, 50-, and 100-year return period rainfall scenarios. The results show that node overflow, water depth, and inundation area increase proportionately with the growing return periods. Water depths are mostly predicted to be shallow and surface flows generally occur in the urban road network due to its low-lying nature. The simulation result of the coupled model proves to be reliable and suggests that urban surface water flooding could be accurately simulated by using this methodology. Adaptation measures (upgrading of the urban drainage system) can then be targeted at specific locations with significant overflow and flooding.
- ECNU Flood-Urban model,
- Shanghai,
- Storm water management model (SWMM),
- Urban pluvial flooding

FullText(HTML)

References(27)

References

Bolle, A., A. Demuynck, R. Bouteligier, S. Bosch, A. Verwey, and J. Berlamont. 2006. Hydraulic modelling of the two-directional interaction between sewer and river systems. In Proceedings of the international conference on urban drainage modelling & the international conference on water sensitive urban design, ed. A. Delectic, and T. Fletcher, 896–903. Victoria, Australia: Monash University Publishing.

Bradbrook, K.F., S.N. Lane, S.G. Waller, P.D. Bates. 2004. Two dimensional diffusion wave modelling of flood inundation using a simplified channel representation. International Journal of River Basin Management 2(3): 211–223.

Du, J., L. Qian, H. Rui, T. Zuo, D. Zheng, Y. Xu, C.Y. Xu. 2012. Assessing the effects of urbanization on annual runoff and flood events using an integrated hydrological modeling system for Qinhuai River basin, China. Journal of Hydrology 464–465: 127–139.

Gu, X., Q. Zhang, J. Li, V.P. Singh, J. Liu, P. Sun, and C. Cheng. 2019. Attribution of global soil moisture drying to human activities: A quantitative viewpoint. Geophysical Research Letters 46(5): 2573–2582.

Hsu, M.-H., S.H. Chen, and T.-J. Chang. 2002. Dynamic inundation simulation of storm water interaction between sewer system and overland flows. Journal of the Chinese Institute of Engineers 25(2): 171–177.

IPCC (Intergovernmental Panel on Climate Change). 2012. Climate change 2012, the physical science basis. Cambridge: Cambridge University Press.

IPCC (Intergovernmental Panel on Climate Change). 2013. Climate change 2013, the physical science basis. Cambridge: Cambridge University Press.

Keifer, C.J., and H.H. Chu. 1957. Synthetic storm pattern for drainage design. Journal of the Hydraulics Division 83(4): 1–25.

Leandro, J., and R. Martins. 2016. A methodology for linking 2D overland flow models with the sewer network model SWMM 5.1 based on dynamic link libraries. Water Science and Technology 73(12): 3017–3026.

Leandro, J., A.S. Chen, S. Djordjevic, and D.A. Savic. 2009. Comparison of 1D/1D and 1D/2D coupled (sewer/surface) hydraulic models for urban flood simulation. Journal of Hydraulic Engineering 135(6): 495–504.

Leandro, J., A.S. Chen, and A. Schumanna. 2014. A 2D parallel diffusive wave model for floodplain inundation with variable time step (P-DWave). Journal of Hydrology 517: 250–259.

Phillips, B.C., S. Yu, G.R. Thompson, and N. de Silva. 2005. 1D and 2D modelling of urban drainage systems using XP-SWMM and TUFLOW. In Proceedings of the 10th international conference on urban drainage, 21–26 August 2005, Copenhagen, Denmark.

Quan, R.S. 2014. Risk assessment of flood disaster in Shanghai based on spatial-temporal characteristics analysis from 251 to 2000. Environment Earth Sciences 72: 4627–4638.

Seyoum, S.D., Z. Vojinovic, R.K. Price, and S. Weesakul. 2012. Coupled 1D and noninertia 2D flood inundation model for simulation of urban flooding. Journal of Hydraulic Engineering 138(1): 23–34.

Shanghai Municipal Engineering Design Institute. 2003. Water supply & drainage design handbook: Urban drainage. Beijing: China Architecture & Building Press (in Chinese).

Wang, H., C. Mei, J.H. Liu, and W.W. Shao. 2018. A new strategy for integrated urban water management in China: Sponge city. Science China Technological Sciences 61(3): 317–329.

Wu, X., Z. Wang, S. Guo, W. Liao, Z. Zeng, and X. Chen. 2017. Scenario-based projections of future urban inundation within a coupled hydrodynamic model framework: A case study in Dongguan City, China. Journal of Hydrology 547: 428–442.

Xia, J., Y.Y. Zhang, L.H. Xiong, S. He, L.F. Wang, and Z.B. Yu. 2017. Opportunities and challenges of the Sponge City construction related to urban water issues in China. Science China Earth Sciences 60(4): 652–658.

Yin, J., M. Ye, Z. Yin, and S. Xu. 2015. A review of advances in urban flood risk analysis over China. Stochastic Environmental Research and Risk Assessment 29(3): 1063–1070.

Yin, J., D. Yu, and R. Wilby. 2016a. Modelling the impact of land subsidence on urban pluvial flooding: A case study of downtown Shanghai, China. Science of the Total Environment 544: 744–753.

Yin, J., D. Yu, Z. Yin, M. Liu, and Q. He. 2016b. Evaluating the impact and risk of pluvial flash flood on intra-urban road network: A case study in the city center of Shanghai, China. Journal of Hydrology 537: 138–145.

Yu, D., and T.J. Coulthard. 2015. Evaluating the importance of catchment hydrological parameters for urban surface water flood modelling using a simple hydro-inundation model. Journal of Hydrology 524: 385–400.

Yu, D., and S.N. Lane. 2006a. Urban fluvial flood modelling using a two‐dimensional diffusion‐wave treatment, part 2: Development of a sub‐grid‐scale treatment. Hydrological Processes 20(7): 1567–1583.

Yu, D., and S.N. Lane. 2006b. Urban fluvial flood modelling using a two‐dimensional diffusion‐wave treatment, part 1: Mesh resolution effects. Hydrological Processes 20(7): 1541–1565.

Yu, D., and S.N. Lane. 2011. Interactions between subgrid‐scale resolution, feature representation and grid‐scale resolution in flood inundation modelling. Hydrological Processes 25(1): 36–53.

Zhang, Q., X. Gu, J. Li, P. Shi, and V.P. Singh. 2018. The impact of tropical cyclones on extreme precipitation over coastal and inland areas of China and its association to ENSO. Journal of Climate 31: 1865–1880.

Zhang, W., G. Villarini, G.A. Vecchi, and J.A. Smith. 2018. Urbanization exacerbated the rainfall and flooding caused by hurricane Harvey in Houston. Nature 563(7731): 384–388.

Relative Articles

Supplements(0)

Cited By

Proportional views