Impact of Drainage Network Structure on Urban Inundation Within a Coupled Hydrodynamic Model
Currently, one of the major threats to cities is the escalating risk of flooding, which is attributed to the alteration of climate and hastened urbanization. The purpose of this study was to introduce the Strahler ordering method for simplifying drainage networks and to avoid randomness in developing flooding models. A coupled hydrodynamic model that combines SWMM and LISFLOOD-FP was developed to simulate urban inundation. Results showed that the coupled model had satisfactory applicability for waterlogging simulation. The Strahler ordering method could construct clear topological relations of the drainage network and showed good performance in drainage network simplification. Higher-density drainage networks could increase peak discharge and total volume of discharge, while decreasing the maximum water depth and the total inundation area. Taking “5.29” rainstorm events as an example, compared to Level 3, the relative rates of change in the total flow and peak flow of Level 2 and Level 1 networks are −33.18% and −23.29%. The total inundation area was decreased from 14.14 ha to 1.43 ha when the level of drainage network hierarchy was increased from Level 1 to Level 3. This study highlights the importance of re-assessment of current and future urban drainage networks for coping with the changes in urban floods induced by local and large-scale changes.
Authors
- Zhaoli Wang (ORCID: https://orcid.org/0000-0002-8118-802X)
- Xiaohong Chen (ORCID: https://orcid.org/0000-0003-0809-5297)
- Tao Wang (ORCID: https://orcid.org/0000-0002-4765-9377)
- Chao Song (ORCID: https://orcid.org/0000-0002-5117-9501)
- Pan Wu (ORCID: https://orcid.org/0000-0002-1860-2777)
Institutions
- Sun Yat-sen University (CN)
- South China University of Technology (CN)
Publication Details
- Journal
- Water
- Published
- 2025-03-28
- DOI
- https://doi.org/10.3390/w17070990
- Citations
- 4
- Primary Topic
- Flood Risk Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 4.42
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China