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首页> 外文期刊>Proceedings of the Royal Society of Queensland >FUTURE OPTIONS FOR FIRE BEHAVIOUR MODELLING ANDFIRE DANGER RATING IN NEW ZEALAND
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FUTURE OPTIONS FOR FIRE BEHAVIOUR MODELLING ANDFIRE DANGER RATING IN NEW ZEALAND

机译:新西兰火灾行为建模和火灾危险等级的未来选择

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摘要

Bushfi re research in New Zealand is focussed on developing a national fire danger rating system and fire behaviour prediction models. The approach has been to adapt the Canadian Forest Fire Danger Rating System to the New Zealand fire environment through empirical data collection from experimental fires and wildfires. Research has contributed to improved fire management and increased community and firefighter safety, but there are still significant gaps in the knowledge of fire behaviour in New Zealand fuels. Current research is focussed on developing fire behaviour models for fuel types not included in the Canadian system. Development of shrub fire behaviour models is a priority, given the significant proportion of bushfires in these fuels. However, this has highlighted the need to re-examine some of the fundamental principles guiding the New Zealand approach to fire behaviour modelling and fire danger rating. In New Zealand, fire behaviour prediction and fire danger rating are closely linked, compared to other countries where the two systems are separated. This can create difficulties in distinguishing appropriate spatial and temporal fire danger levels versus site-specific fire behaviour predictions. Other issues include selecting equation parameters and application of empirical systems in fuels different from those where observations were made. This paper reviews these issues and presents alternatives and options for the future.
机译:新西兰的Bushfi研究专注于开发国家火灾危险等级系统和火灾行为预测模型。通过从实验性火灾和野火收集经验数据,使加拿大森林火灾危险等级系统适应新西兰火灾环境。研究已经为改善火灾管理,提高社区和消防员安全做出了贡献,但是在新西兰燃料的火灾行为知识方面仍然存在很大差距。当前的研究集中在针对加拿大系统中未包括的燃料类型开发火灾行为模型。鉴于灌木丛火灾在这些燃料中的比例很高,因此优先开发灌木丛火行为模型。但是,这突出了需要重新审查一些指导新西兰进行火灾行为建模和火灾危险等级评估方法的基本原则。在新西兰,与将两个系统分开的其他国家相比,火灾行为预测和火灾危险等级紧密相关。这可能会在区分适当的空间和时间火灾危险等级与特定地点的火灾行为预测方面造成困难。其他问题包括选择方程式参数以及将经验系统应用于燃料的方法与进行观察的方法不同。本文回顾了这些问题,并提出了未来的替代方案和选择。

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