Day: July 30, 2024

Models
THINKLAB Edits

HIM model can rapidly forecast flood depths for urban areas

The team proposes an innovative rapid inundation model, the Hybrid Inundation Model (HIM), to simulate urban flooding. The model combines the advantages of Cellular Automata (CA) and Digital Elevation Model (DEM), and it can produce results without the need for powerful computational resources such as high-speed computers and parallel computing. Therefore, this model has the advantages of real-time computation and provides time-varying inundation results in a short time. The team has completed the initial development of the model and tested it against the EA benchmark test cases, which are the most commonly used in the UK to verify the correctness of 2D flood models. The results confirm that the HIM model has promising potential for future applications.

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Risk Assessment
THINKLAB Edits

Bayesian-based flood damage assessment

本計畫研究團隊以Bayesian統計推論模型為基礎, 考慮各項因子包括淹水深度、坡度、土地利用等推估因子,發展一可快速推估建物淹水損失率(rloss)之災損推估模式。本研究中除了採用一般使用之淹水-損失方程式(depth-damge curve), 也會將各因子以貝斯回歸(Bayesian regression)的方式進行模式建置,最後也會發展以貝斯網路(Bayesian network)之經濟損失推估模式。

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