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Application of LiDAR UAV for High-Resolution Flood Modelling

Author

Listed:
  • Bingyao Li

    (Xi’an University of Technology)

  • Jingming Hou

    (Xi’an University of Technology)

  • Donglai Li

    (Xi’an University of Technology)

  • Dong Yang

    (Xi’an University of Technology)

  • Hao Han

    (Xi’an University of Technology)

  • Xu Bi

    (Xi’an Meteorological Bureau)

  • Xinghua Wang

    (Xi’an University of Technology)

  • Reinhard Hinkelmann

    (Technische Universität Berlin)

  • Junqiang Xia

    (Wuhan University)

Abstract

To overcome the difficulty of collecting fine-grained terrain data that is important for flood modelling, this work presents a method for the application of UAV-based LiDAR techniques to drive high-resolution flood propagation and inundation modelling. This paper comprehensively introduces the UAV platform, LiDAR sensor and data processing techniques required and proposes the approach for obtaining refined DEM for flood management using which the DEM accuracy can reach ±3 cm. Accordingly, two kinds of terrains, a small mountain area and a large urban area, have been measured and the time requirements for the method are 5 h and 2 days respectively. Based on the collected data, a full hydrodynamic numerical flood model is applied to simulate a flash flood in the mountain catchment and an urban flood at high-resolution. The results show that the water depth and velocity affected by key micro terrain features, such as tiny channels and roads, can be captured and considered, indicating that LiDAR UAV techniques are an efficient and reliable method for surveying terrain making them highly important for creating high accurate flood simulation.

Suggested Citation

  • Bingyao Li & Jingming Hou & Donglai Li & Dong Yang & Hao Han & Xu Bi & Xinghua Wang & Reinhard Hinkelmann & Junqiang Xia, 2021. "Application of LiDAR UAV for High-Resolution Flood Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(5), pages 1433-1447, March.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:5:d:10.1007_s11269-021-02783-w
    DOI: 10.1007/s11269-021-02783-w
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    References listed on IDEAS

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    Cited by:

    1. Bingyao Li & Jingming Hou & Xinghua Wang & Yongyong Ma & Donglai Li & Tian Wang & Guangzhao Chen, 2023. "High-Resolution Flood Numerical Model and Dijkstra Algorithm Based Risk Avoidance Routes Planning," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 3243-3258, June.
    2. Jovet, Yoann & Lefèvre, Frédéric & Laurent, Alexis & Clausse, Marc, 2022. "Combined energetic, economic and climate change assessment of heat pumps for industrial waste heat recovery," Applied Energy, Elsevier, vol. 313(C).
    3. Donglai Li & Jingming Hou & Yangwei Zhang & Minpeng Guo & Dawei Zhang, 2022. "Influence of Time Step Synchronization on Urban Rainfall-Runoff Simulation in a Hybrid CPU/GPU 1D-2D Coupled Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3417-3433, August.
    4. Xinghua Wang & Jingming Hou & Bingyao Li & Jie Chai & Jian Wang & Wenqing Zhang, 2022. "Study for Underpass Inundation Process Caused by Heavy Storm Using High-resolution Urban Flood Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(11), pages 3965-3980, September.
    5. M. Karamouz & F. Fooladi Mahani, 2021. "DEM Uncertainty Based Coastal Flood Inundation Modeling Considering Water Quality Impacts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3083-3103, August.

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