Physics-based simulations of multiple natural hazards for risk-sensitive planning and decision making in expanding urban regions

Luke T. Jenkins, Maggie J. Creed, Karim Tarbali, Manoranjan Muthusamy, Robert Šakić Trogrlić, Jeremy Phillips, C. Scott Watson, Hugh D. Sinclair, Carmine Galasso, John Mccloskey

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Rapid urban expansion in many parts of the world is leading to increased exposure to natural hazards, exacerbated by climate change. The use of physics-based models of natural hazards in risk-informed planning and decision-making frameworks may provide an improved understanding of site-specific hazard scenarios, allowing various decision makers to more accurately consider the consequences of their decisions on risk in future development. We present results of physics-based simulations of flood, earthquake, and debris flow scenarios in a virtual urban testbed. The effect of climate change, in terms of increasing rainfall intensity, is also incorporated into some of the considered hazard scenarios. We use our results to highlight the importance of using physics-based models applied to high-resolution urban plans to provide dynamic hazard information at the building level for different development options. Furthermore, our results demonstrate that including building elevations into digital elevation models is crucial for predicting the routing of hazardous flows through future urban landscapes. We show that simulations of multiple, independent hazards can assist with the identification of developing urban regions that are vulnerable to potential multi-hazard events. This information can direct further modelling to provide decision-makers with insights into potential multi-hazard events. Finally, we reflect on how information derived from physics-based hazard models can be effectively used in risk-sensitive planning and decision-making.
Original languageEnglish
Article number103338
JournalInternational Journal of Disaster Risk Reduction
Volume84
Early online date8 Oct 2022
DOIs
Publication statusPublished - 1 Jan 2023

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