Abstract
Pluvial inundations in urban area are caused by localized, heavy rainstorm events, which lead to the severe disaster risks in inundation-sensitive zones. The paper focuses on different rainfalls in analyzing urban underpass inundation process based on high-resolution urban flood model combined with linear blocking boundary method. Included in this study are the construction of high-resolution urban flood model and the method of rainstorm scenarios simulation in a series of different return periods (50, 100, 200, 500, 1000 years) and peak coefficients (0.35, 0.5, 0.75). The profiles on water depth and rapidity of water level rising in underpass are obtained to analyze the inundation process referring to cumulative precipitation and rainfall time, besides, the variations of warning time and rainfall for vehicle and human are analyzed consequently. The results indicate that the variations of inundation are determined by the common effects of rainfall intensity and the time for most runoff travel to underpass. Specifically, the variation of inundation in Jinhua underpass is generally dependent on the rainfall intensity 10 min ago. Besides, it takes much less time for the water rising from 0.4 m to 1.2 m than the time from 0 to 0.4 m, which means when the vehicle is in danger, it needs evacuating without hesitation. The research, therefore, highlights the importance of high-resolution urban flood model in inundation process simulation and the necessity of predicting the inundation process of underpass based on real-time gauge to guide traffic controlling and emergency evacuation.
Similar content being viewed by others
Availability of Data and Material
The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
Ball J, Babister M, Nathan R, Weeks W, Weinmann E, Retallick M, Testoni I (2019) A guide to Australian Rainfall and Runoff
Bruwier M, Maravat C, Mustafa A, Teller J, Pirotton M, Erpicum S, Archambeau P, Dewals B (2020) Influence of urban forms on surface flow in urban pluvial flooding. J Hydrol. https://doi.org/10.1016/j.jhydrol.2019.124493
Burgan HI, Icaga Y (2019) Flood analysis using Adaptive Hydraulics (AdH) model in Akarcay Basin. Teknik Dergi 30(2):9029–9051
Chang LC, Shen HY, Chang FJ (2014) Regional flood inundation nowcast using hybrid SOM and dynamic neural networks. J Hydrol 519:476–489. https://doi.org/10.1016/j.jhydrol.2014.07.036
Chang LC, Shen HY, Wang YF, Huang JY, Lin YT (2010) Clustering-based hybrid inundation model for forecasting flood inundation depths. J Hydrol 385:257–268. https://doi.org/10.1016/j.jhydrol.2010.02.028
Chen G, Hou J, Zhou N, Yang S, Tong Y, Su F, Bi X (2020) High-resolution urban flood forecasting by using a coupled atmospheric and hydrodynamic flood models. Front Earth Sci 425
Costabile P, Costanzo C, De Lorenzo G, Macchione F (2020) Is local flood hazard assessment in urban areas significantly influenced by the physical complexity of the hydrodynamic inundation model? J Hydrol 580:124231. https://doi.org/10.1016/j.jhydrol.2019.124231
Fewtrell TJ, Duncan A, Sampson CC, Neal JC, Bates PD (2011) Benchmarking urban flood models of varying complexity and scale using high resolution terrestrial LiDAR data. Phys Chem Earth 36:281–291. https://doi.org/10.1016/j.pce.2010.12.011
Gomez M, Sharma S, Reed S, Mejia A (2019) Skill of ensemble flood inundation forecasts at short- to medium-range timescales. J Hydrol 568:207–220. https://doi.org/10.1016/j.jhydrol.2018.10.063
Guo K, Guan M, Yu D (2021) Urban surface water flood modelling-a comprehensive review of current models and future challenges. Hydrol Earth Syst Sci 25:2843–2860. https://doi.org/10.5194/hess-25-2843-2021
Hou J, Han H, Qi W, Guo K, Li Z, Hinkelmann R (2019) Experimental investigation for impacts of rain storms and terrain slopes on low impact development effect in an idealized urban catchment. J Hydrol 579:124176. https://doi.org/10.1016/j.jhydrol.2019.124176
Hou J, Liang Q, Simons F, Hinkelmann R (2013a) A 2D well-balanced shallow flow model for unstructured grids with novel slope source term treatment. Adv Water Resour 52:107–131. https://doi.org/10.1016/j.advwatres.2012.08.003
Hou J, Simons F, Mahgoub M, Hinkelmann R (2013b) robust well-balanced model on unstructured grids for shallow water lows with wetting and drying over complex topography. Comput Methods Appl Mech Eng 257:126–149. https://doi.org/10.1016/j.cma.2013.01.015
Hou J, Wang N, Guo K, Li D, Jing H, Wang T, Hinkelmann R (2020) Effects of the temporal resolution of storm data on numerical simulations of urban flood inundation. J Hydrol 589:125100. https://doi.org/10.1016/j.jhydrol.2020.125100
Jhong BC, Wang JH, Lin GF (2017) An integrated two-stage support vector machine approach to forecast inundation maps during typhoons. J Hydrol 547:236–252. https://doi.org/10.1016/j.jhydrol.2017.01.057
Kendon EJ, Roberts NM, Senior CA, Roberts MJ (2012) Realism of rainfall in a very high-resolution regional climate model. J Clim 25:5791–5806. https://doi.org/10.1175/JCLI-D-11-00562.1
Li B, Hou J, Li D, Yang D, Han H, Bi X, Wang X, Hinkelmann R, Xia J (2021) Application of LiDAR UAV for high-resolution flood modelling. Water Resour Manag 35:1433–1447. https://doi.org/10.1007/s11269-021-02783-w
Li X, Willems P (2020) A hybrid model for fast and probabilistic urban pluvial flood prediction. Water Resour Res 56:1–26. https://doi.org/10.1029/2019WR025128
Mejía-Morales MA, Mignot E, Paquier A, Sigaud D, Proust S (2021) Impact of the porosity of an urban block on the flood risk assessment: A laboratory experiment. J Hydrol. https://doi.org/10.1016/j.jhydrol.2021.126715
Ming X, Liang Q, Xia X, Li D, Fowler HJ (2020) Real-time flood forecasting based on a high-performance 2-D hydrodynamic model and numerical weather predictions. Water Resour Res. https://doi.org/10.1029/2019WR025583
Paul S, Ghosh S, Mathew M, Devanand A, Karmakar S, Niyogi D (2018) Increased spatial variability and intensification of extreme monsoon rainfall due to urbanization. Sci Rep 8:1–10. https://doi.org/10.1038/s41598-018-22322-9
Ren H, Zhang H (2022) Characteristics and main causes of the 20 July 2021 flood-causing torrential rain event in Zhengzhou. J Hohai Univ (Nat Sci) (In Chinese)
Rözer V, Peche A, Berkhahn S, Feng Y, Fuchs L, Graf T, Haberlandt U, Kreibich H, Sämann R, Sester M, Shehu B, Wahl J, Neuweiler I (2021) Impact-based forecasting for pluvial floods. Earth’s Futur. https://doi.org/10.1029/2020EF001851
Shuhan Z, Fangdong Z (2013) Impact of topographic obstacles on the discharge distribution in open-channel bifurcations. J Hydrol 494:10–19. https://doi.org/10.1016/j.jhydrol.2013.04.023
Wang K, Wang L, Wei YM, Ye M (2013) Beijing storm of July 21, 2012: Observations and reflections. Nat Hazards 67:969–974. https://doi.org/10.1007/s11069-013-0601-6
Wójcik OP, Holt J, Kjerulf A, Müller L, Ethelberg S, Molbak K (2013) Personal protective equipment, hygiene behaviours and occupational risk of illness after July 2011 flood in Copenhagen. Denmark Epidemiol Infect 141:1756–1763. https://doi.org/10.1017/S0950268812002038
Wu M, Wu Z, Ge W, Wang H, Shen Y, Jiang M (2021) Identification of sensitivity indicators of urban rainstorm flood disasters: A case study in China. J Hydrol 599:126393. https://doi.org/10.1016/j.jhydrol.2021.126393
Zhang S, Zheng F, Di S, Li Y, Yu L, Wang L (2021) Thoughts on urban waterlogging control in Beijing from the rainstorm and flood of “2021.7.20” in Zhengzhou. 31:5–11. https://doi.org/10.16867/j.issn.1673-9264.2021260
Zheng D (2021) Two hundred meters of deadly escape: the life changed by Zhengzhou Jingguang tunnel. China Bus J (In Chinese)
Funding
This work is partly supported by the National Natural Science Foundation of China (52079106), National Key Research and Development Program of China (2016YFC0402704).
Author information
Authors and Affiliations
Contributions
Conceptualization and Methodology: J. Hou, X. Wang; Writing-original draft preparation: X. Wang; Material preparation, collection and analysis: X. Wang, B. Li, W. Zhang; Supervision: J, Chai, J, Wang; Funding acquisition: J. Hou.
Corresponding author
Ethics declarations
Ethical Approval
Informed consent.
Consent to Participate
Not applicable.
Consent to Publish
The authors are indeed informed and agree to publish.
Competing Interests
We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and company that could be construed as influencing the position presented in, or the review of, the manuscript entitled “Study for underpass inundation process caused by heavy storm using high-resolution urban flood model”.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Wang, X., Hou, J., Li, B. et al. Study for Underpass Inundation Process Caused by Heavy Storm Using High-resolution Urban Flood Model. Water Resour Manage 36, 3965–3980 (2022). https://doi.org/10.1007/s11269-022-03182-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11269-022-03182-5