Simulation Technology for Modelling Extreme Bushfire Behaviour

极端火灾通过摧毁房屋和破坏基础设施对社区造成不可估量的损害。 大规模、高强度的火灾减少了生物多样性，需要几十年的时间才能恢复，增加了温室气体排放，降低了碳储存能力。 气候变化可能会增加极端火灾天气的频率，从而增加了在极端条件下对火灾蔓延进行可靠预测的必要性，并通过防范和抑制来减少影响。 将基于证据的火灾蔓延模型应用到火灾位置预测系统中，将为消防机构提供潜在灾难性火灾的早期预警，使其能够及早做出反应，以防止火灾并减轻对生命，财产和环境的影响。

Extreme fires cause immeasurable damage to communities through destruction of homes and damage to infrastructure. Large, highly intense fires reduce biodiversity, take decades for recovery, increase greenhouse gas emissions and reduce carbon storage capacity. Climate change is likely to increase the frequency of extreme fire weather increasing the need for reliable fire spread prediction under extreme conditions and to reduce impact by preparedness and suppression. Incorporating an evidence-based fire spread model into a fire location forecasting system will give fire agencies early warning of potentially disastrous fires, enable early response to prevent fires and mitigate the consequence to life, property and the environment.