Abstract
Seismic risk is typically quantified probabilistically for a single asset or evaluated through regional loss assessment for selected earthquake events. Ideally, a recurrence relationship for a loss quantity, economic loss or casualty, can be obtained for risk-informed decision-making. This can be achieved by a fully stochastic approach, for which a large amount of input information is required, whilst there is usually a lack of transparency that might hinder repeatability of the outputs. Hence, the objective of this paper is to introduce a simple and unambiguous procedure for developing parametric societal risk function based on rigorous loss modelling of response-specific probabilistic scenarios. This is then illustrated for the Greater Melbourne Region with fatality as the loss quantity. The proposed semi-probabilistic procedure can be extended to other loss quantities, as well as evaluating societal risk of other natural hazards or multiple hazards.
| Original language | English |
|---|---|
| Pages (from-to) | 943-969 |
| Number of pages | 27 |
| Journal | Natural Hazards |
| Volume | 92 |
| Issue number | 2 |
| Early online date | 27 Feb 2018 |
| DOIs | |
| Publication status | Published - 1 Jun 2018 |
Keywords
- Earthquake
- Economic loss
- Fatality
- F–N curve
- Recurrence relationship
- Societal risk
ASJC Scopus subject areas
- Water Science and Technology
- Atmospheric Science
- Earth and Planetary Sciences (miscellaneous)