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Enhancing the Capability of a Simple, Computationally Efficient, Conceptual Flood Inundation Model in Hydrologically Complex Terrain

Author

Listed:
  • J. Teng

    (CSIRO Land and Water
    The Australian National University)

  • J. Vaze

    (CSIRO Land and Water)

  • S. Kim

    (CSIRO Land and Water)

  • D. Dutta

    (CSIRO Land and Water)

  • A. J. Jakeman

    (The Australian National University)

  • B. F. W. Croke

    (The Australian National University
    The Australian National University)

Abstract

The simple conceptual flood inundation model TVD (Teng-Vaze-Dutta) is more computationally efficient and cost-effective than traditional hydrodynamic models. It is especially useful for applications that do not require velocity output and have low demands on flood dynamic representation. In this study, we have addressed the main inherent limitations of the original TVD model including: the assumption that all the floodplain depressions connected to the river are instantly filled up to the in-stream water level at each time step; the lack of information sharing at the boundary of two modelling reaches; and insufficient soil moisture processes. All of these can affect the model’s applicability and accuracy, especially in very flat and hydrologically complex floodplains. A number of improvements to the model structure have been implemented to address mass conservation, reach connectivity and water balance issues. The revised model was set up to simulate a number of flood events in Australia’s lower Balonne River and Darling River to test for its enhanced capability. The modelled inundation extents before and after the improvements were assessed against remote sensing water maps. The model developments have improved the accuracy of modelled flood extent. Nevertheless, there are still remaining issues that require the model to be used with caution when simulating flood inundation in difficult-to-model topographies, largely, the demand for reliable input of overbank flow volume and the extrapolating issue with weighting schemes.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:waterr:v:33:y:2019:i:2:d:10.1007_s11269-018-2146-7
    DOI: 10.1007/s11269-018-2146-7
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Shuang Yao & Nengcheng Chen & Wenying Du & Chao Wang & Cuizhen Chen, 2021. "A Cellular Automata Based Rainfall-Runoff Model for Urban Inundation Analysis Under Different Land Uses," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 1991-2006, April.

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