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Rapid Inundation Modelling in Large Floodplains Using LiDAR DEM

Author

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  • J. Teng
  • J. Vaze
  • D. Dutta
  • S. Marvanek

Abstract

Rapid and accurate inundation modelling in large floodplains is critical for emergency response and environmental management. This paper describes the development and implementation of a floodplain inundation model that can be used for rapid assessment of inundation in very large floodplains. The model uses high resolution DEM (such as LiDAR DEM) to derive floodplain storages and connectivity between them at different river stages. We tested the performance of the model across several large floodplains in southeast Australia for estimating floodplain inundation extent, volume, and water depth for a few recent flood events. The results are in good agreement with those obtained from high resolution satellite imageries and MIKE 21 two-dimensional hydrodynamic model. The model performed particularly well in the reaches that have confined channels with above 85 % agreement with the flood maps derived from Landsat TM imagery in cell-to-cell comparison. While the model did not performance as well in the flat and complex floodplains, the overall level of agreement of the modelled inundation maps with the satellite flood maps was still satisfactory (60–75 %). The key advantage of this model is demonstrated by its capability to simulate inundation in large floodplains (over 2000 km 2 ) at a very high resolution of 5-m with more than 81 million cells at a reasonably low computational cost. The model is suitable for practical floodplain inundation simulation and scenario modelling under current and future climate conditions. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • J. Teng & J. Vaze & D. Dutta & S. Marvanek, 2015. "Rapid Inundation Modelling in Large Floodplains Using LiDAR DEM," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2619-2636, June.
    • Handle: RePEc:spr:waterr:v:29:y:2015:i:8:p:2619-2636
    DOI: 10.1007/s11269-015-0960-8
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    References listed on IDEAS

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    1. Md. Bhuiyan & Dushmanta Dutta, 2012. "Analysis of flood vulnerability and assessment of the impacts in coastal zones of Bangladesh due to potential sea-level rise," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 61(2), pages 729-743, March.
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    4. Powell, S.J. & Letcher, R.A. & Croke, B.F.W., 2008. "Modelling floodplain inundation for environmental flows: Gwydir wetlands, Australia," Ecological Modelling, Elsevier, vol. 211(3), pages 350-362.
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    3. John Reimer & Chin Wu, 2016. "Development and Application of a Nowcast and Forecast System Tool for Planning and Managing a River Chain of Lakes," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1375-1393, March.
    4. J. Teng & J. Vaze & S. Kim & D. Dutta & A. J. Jakeman & B. F. W. Croke, 2019. "Enhancing the Capability of a Simple, Computationally Efficient, Conceptual Flood Inundation Model in Hydrologically Complex Terrain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(2), pages 831-845, January.
    5. G. Papaioannou & A. Loukas & L. Vasiliades & G. T. Aronica, 2016. "Flood inundation mapping sensitivity to riverine spatial resolution and modelling approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 117-132, October.
    6. Prachi Pratyasha Jena & Banamali Panigrahi & Chandranath Chatterjee, 2016. "Assessment of Cartosat-1 DEM for Modeling Floods in Data Scarce Regions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1293-1309, February.
    7. Kay Khaing Kyaw & Federica Bonaiuti & Huimin Wang & Stefano Bagli & Paolo Mazzoli & Pier Paolo Alberoni & Simone Persiano & Attilio Castellarin, 2024. "Fast-Processing DEM-Based Urban and Rural Inundation Scenarios from Point-Source Flood Volumes," Sustainability, MDPI, vol. 16(2), pages 1-22, January.
    8. John R. Reimer & Chin H. Wu, 2016. "Development and Application of a Nowcast and Forecast System Tool for Planning and Managing a River Chain of Lakes," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1375-1393, March.
    9. Wenchao Qi & Chao Ma & Hongshi Xu & Zifan Chen & Kai Zhao & Hao Han, 2021. "A review on applications of urban flood models in flood mitigation strategies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 31-62, August.
    10. Heather McGrath & Jean-François Bourgon & Jean-Samuel Proulx-Bourque & Miroslav Nastev & Ahmad Abo El Ezz, 2018. "A comparison of simplified conceptual models for rapid web-based flood inundation mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(2), pages 905-920, September.
    11. Zhouyayan Li & Jerry Mount & Ibrahim Demir, 2022. "Accounting for uncertainty in real-time flood inundation mapping using HAND model: Iowa case study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(1), pages 977-1004, May.

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