Abstract
Flood risk analysis plays an essential role in flood warning systems and disaster prevention. The design flood is one flood event that probably occurs locally, drawn up for flood control design. Generally, the inundation of design floods under different return periods is simulated to determine the risk distribution of the area and to provide guidance for flood mitigation efforts. However, previous flood risk analysis studies have been stagnant at a large scale and crude level, with less practical guidance for regional or even individual flood prevention. In this study, we applied the digital terrain acquisition method to flood risk analysis, and finely analysed flood risk distribution for three disaster prevention object towns in China. The oblique photography technology of unmanned aerial vehicle flight was utilized innovatively in this paper and the one-two-dimensional coupling hydrodynamic model for design floods inundation was established based on the digital terrain results. Finally, the simulation results were superimposed on the high-definition orthophotos to meticulously analyse flood risk at the scale of the houses and to obtain fineness risk distribution, and a total of 42 high-risk houses, 866 medium-risk houses, and 600 low-risk houses were identified in their locations. This research is innovative, the results are reasonable and reliable, and the methods are of significant importance for both flood risk analysis and disaster prevention management. In addition, such approaches are easily transferable to other catchments or towns.
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The data generated or used during the study, if not proprietary or confidential, are available from the corresponding author upon request.
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Funding
This study was financially supported by the National Key R&D Program of China (2022YFC3002703), the Natural Science Foundation of China (52179016), Natural Science Foundation of Hubei Province (2021CFB597).
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Yichao Xu: Conceptualization, Methodology, Visualization, Data curation, Writing—Original draft preparation, Writing—Review & Editing. Xinyin Wang: Writing the introduction, Visualization. Zhiqiang Jiang: Validation, Software, Supervision. Yi Liu: Visualization, Investigation, Resources. Li Zhang: Project administration, Formal analysis. Yukun Li: Data processing of digital terrain.
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Xu, Y., Wang, X., Jiang, Z. et al. An Improved Fineness Flood Risk Analysis Method Based on Digital Terrain Acquisition. Water Resour Manage 37, 3973–3998 (2023). https://doi.org/10.1007/s11269-023-03535-8
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DOI: https://doi.org/10.1007/s11269-023-03535-8