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

Jenkins, L.T., Creed, M.J., Tarbali, K., Muthusamy, M., Šakić Trogrlić, R., Phillips, J., Watson, C.S., Sinclair, H.D., et al. (2022). Physics-based simulations of multiple natural hazards for risk-sensitive planning and decision making in expanding urban regions. International Journal of Disaster Risk Reduction e103338. 10.1016/j.ijdrr.2022.103338. (In Press)

[thumbnail of 1-s2.0-S221242092200557X-main.pdf]
Preview
Text
1-s2.0-S221242092200557X-main.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (2MB) | Preview

Abstract

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.

Item Type: Article
Uncontrolled Keywords: Natural hazards; Physics-based modelling; Risk-sensitive urban planning
Research Programs: Advancing Systems Analysis (ASA)
Advancing Systems Analysis (ASA) > Systemic Rick and Resilience (SYRR)
Depositing User: Michaela Rossini
Date Deposited: 11 Oct 2022 07:39
Last Modified: 18 Oct 2022 11:25
URI: https://pure.iiasa.ac.at/18277

Actions (login required)

View Item View Item