A Coupled Hydrodynamic and Rainfall-tracking Model for Source-to-impact Analysis in Urban Inundation

Xinghua Wang, Jingming Hou (), Donglai Li, Bingyao Li, Xujun Gao and Yuan Liu
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Xinghua Wang: Xi’an University of Technology
Jingming Hou: Xi’an University of Technology
Donglai Li: Xi’an University of Technology
Bingyao Li: Xi’an University of Technology
Xujun Gao: Northwest Engineering Corporation Limited of the Power Construction Corporation of China
Yuan Liu: Northwest Engineering Corporation Limited of the Power Construction Corporation of China

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 14, No 12, 5598 pages

Abstract: Abstract Urban inundation is becoming increasingly severe as a result of climate change and rapid urbanization. Various urban water management practices are designed to alleviate urban inundation hazards. It is essential to better understand and model the dynamic process of surface runoff to inform the arrangement of effective strategies for urban stormwater management. A coupled hydrodynamic and rainfall-tracking model is proposed to determine spatial prioritization by identifying distributions of source areas and quantifying the contribution rate for source areas to inundating areas. Specially, the rainfall mark variable (R) is developed to trace out the pathway of runoff generated by rainfall in the proposed modeling. The coupled model is successfully validated against two idealized test cases including dissymmetric V-shaped and V-shaped catchments. Indeed, the Jinhua underpass catchment area reveals its capability in representing detailed hydrodynamic information and obtaining contribution rates of source areas to inundated areas. The approach can help recognize opportunities to determine the spatial prioritization and adaptability for city planners to complete the optimal solution schemes between the available resources and alleviating inundation.

Keywords: Contribution rate; Hydrodynamic model; Rainfall-tracking modeling; Source area; Urban inundation (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11269-022-03319-6

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