End User representatives
Realistic disaster scenarios help emergency managers better understand disasters. They allow for visualisation of potential impacts before disasters happen, and enable proactive planning for these events. This project, now in its utilisation phase, developed realistic disaster scenarios using catastrophic loss models so that vulnerable areas, utilities and assets within our major cities can be identified.
The scenarios explored were a 6.0 magnitude earthquake under the Adelaide CBD, a number of different earthquakes under the Melbourne CBD and a category 4 cyclone in south east Queensland. While an earthquake of 6.0 magnitude may be considered unlikely by many, a 5.6 magnitude earthquake occurred in Adelaide in 1954. Fortunately, its epicentre was far from populated areas, however today this area is densely populated. The scenario modelling considered the impacts if the earthquake occurred at 2am and 2pm, as these times were expected to result in the highest casualties. It is predicted that an earthquake like this would result in a large number of homes being destroyed or unsuitable for occupation. For both time periods, casualties could be more than 300, with over 100 life-threatening injuries expected. Basic medical aid that could not be self-treated is estimated to be required for approximately 5,000 people.
For the Melbourne earthquake scenario, three different magnitudes were examined (5.5, 6.0 and 7.0). These are all considerably larger than earthquakes that have occurred in Melbourne, and do not lie on any known faults that are considered active. As with the Adelaide scenario, impacts were modelled based on a 2am and 2pm occurrence. Under all scenarios examined, damaged caused by shaking and liquefaction would render parts of Melbourne inaccessible for large extents of time and cause long term infrastructure damage. Immediate casualties would range from under 200 for a 5.5 magnitude occurring at 2am, to more than 8,500 for a 7.0 magnitude occurring at 2pm. Those with life threatening injuries would range from less than 100 to more than 4,500. Under the most severe scenario, basic medical aid that could not be self-treated is estimated to be required for approximately 100,000 people.
The south east Queensland cyclone scenario was modelled on the track taken by Severe Tropical Cyclone Dinah in 1967. In the modelled scenario, the cyclone remained offshore, but made its closest passage to the mainland near Harvey Bay, and then moved offshore as it moved south, but staying close to the coast until south of the New South Wales border. Approximately 50,000 buildings were simulated to experience moderate structural damage, which may lead to occupants needing to seek emergency shelter. A further 8,000 would suffer major structural damage, and in many instances will need to be completely rebuilt. Older homes would bear the brunt of this damage (70-90%) as they were constructed prior to any stringent wind resistant design requirements. As a result of the damage, 50,000 people would need alternate accommodation. The cost of the damages would run into the tens of billions of dollars.
Modelling plausible scenarios such as these quantifies the impacts on society, critical infrastructure, lifelines and buildings, along with the natural environment. This allows emergency managers to understand the implications for their agencies so they can better prepare for, or mitigate the impacts of, events that are beyond their experience.
This project focuses on how a better understanding of the role of science in decision-making will help industry articulate and defend decisions to the community, media, inquiries and elsewhere, and, better frame information and advice on how scientists and professionals communicate.
Realistic disaster scenarios help us better understand disasters.
The project aims to qualify and quantify the impacts of prolonged and multi-hazard natural hazard events on utility, transport and/or communication networks; and to also understand the interconnectedness of these critical services.
What if a category 4 tropical cyclone impacted south east Queensland? What would the impacts be? Could our emergency services cope? strong cyclones have come close to the densely populated south east of Queensland, but impacts have been limited. this will not always be the case. This project explores the impacts of a severe tropical cyclone on the region and asks, can these impacts be forecast?
What-if a magnitude 6.0 earthquake happened near Adelaide SA? IN this project we have developed such scenario by using Risk Frontiers earthquake loss model QuakeAUS to calculate losses to property, infrastructure and casualties.
The study of historical occurrences of natural disasters only provides a very limited view of the full range of risk Australia is exposed to.
This study utilises the advanced research version of the weather research and forecasting (WRF-ARW) model to investigate topographic influences on track and intensity of tropical cyclone ita (2014).
A modified severe Tropical Cyclone Marcia (2015) landfall event was generated. The modified case study creates a worse case wind and flood scenario for the town of Yeppoon, Queensland, with additional wind and flood impacts to residentia, commercial and industrial buildings than experienced during the event.
|An analysis of building losses and human fatalities from natural disasters||Dr Katharine Haynes||Macquarie University|
|Cost-effective mitigation strategy for building related earthquake risk||Prof Michael Griffith||University of Adelaide|
|Cost-effective mitigation strategy for flood prone buildings||Dr Tariq Maqsood||Geoscience Australia|
|Improving the resilience of existing housing to severe wind events||Prof John Ginger||James Cook University|
|Natural hazard exposure information modelling framework||Dr Krishna Nadimpalli||Geoscience Australia|
|Improved decision support systems for optimal natural hazard mitigation||Prof Holger Maier||University of Adelaide|
|Mapping and understanding bushfire and natural hazard vulnerability and risks at the institutional scale||Prof Roger Jones||Victoria University|