A 2D hydrodynamic model-based method for efficient flood inundation modelling
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(Published version)
Date
2022
Authors
Yang, Q.
Wu, W.
Wang, Q.J.
Vaze, J.
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Journal article
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Journal of Hydroinformatics, 2022; 24(5):1004-1019
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Qi Yang, Wenyan Wu, Q. J. Wang and Jai Vaze
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Abstract
Efficient and accurate flood inundation predictions can provide useful information for flood risk mitigation and water resource management. In this paper, we propose a new modelling method, LoHyþ, which can be applied to efficiently simulate the spatiotemporal evolution of flood inundation with reasonable accuracy. The method integrates a low-fidelity two-dimensional (2D) hydrodynamic model and a mapping module to estimate water depth in a catchment during floods. The performance of the proposed modelling method was evaluated using a real-world catchment of approximate 2,000 km2, in the Southern Murray–Darling Basin, Australia. The results show that there is a good agreement between flood inundation obtained from the proposed method and that simulated using a high-fidelity 2D hydrodynamic model. The proposed method is much more efficient than the high-fidelity 2D hydrodynamic model, which makes it an alternative method for applications requiring many model runs or long simulation durations. Also, the LoHyþ model has the potential to be applied in flood inundation forecast, flood risk mitigation design water resource management, etc.
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© 2022 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY-NC-ND 4.0), which permits copying and redistribution for non-commercial purposes with no derivatives, provided the original work is properly cited (http://creativecommons.org/licenses/by-nc-nd/4.0/).