4.7 Article

A distributed hydrodynamic model for urban storm flood risk assessment

Journal

JOURNAL OF HYDROLOGY
Volume 600, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jhydrol.2021.126513

Keywords

Urban storm flood; Hydrodynamic model; Distributed model; Physical connection; Conceptual connection

Funding

  1. National Key Research and Development Project of China [2017YFC1502703]

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A distributed hydrodynamic model for urban storm flood risk assessment has been developed in this study, showing reliability and stability in various cases. It is capable of accurately simulating surface flooding in urban areas, adapting to different data availability, and providing practical and reliable solutions for urban storm flood risk assessments.
Hydrodynamic models have been increasingly applied to urban flood simulations, but still encounter challenges because of complicated urban landscapes, buildings and structures, as well as insufficient sewer data. In order to improve the applicability in real-life urban environments, a distributed hydrodynamic model for urban storm flood risk assessment (DHMUrban) is developed in this study. It is based on the two-dimensional shallow water flow equations simplified by neglecting the convection terms in the momentum equations. The sharp variation of ground surface often happening in urban areas is specially treated with the broad-crested weir flow equation. The rainfall, infiltration and sewer drainage are considered at each overland cell. Two connection approaches between the overland model and the sewer model are proposed depending on the availability of sewer data. The overland cells and the sewer nodes are connected physically in areas with complete sewer data, and connected conceptually through a drainage relationship in areas where sewer data are insufficient or unavailable. The present model has been evaluated in five cases, showing comparable reliability and stability. It has been applied to a real-life urban catchment in Shenzhen City, and demonstrated to be capable of presenting well the ground surface flooding, adapting adequately to the real-life urban areas with different data availability and providing practical and reliable solutions for urban storm flood risk assessments.

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