澳大利亚火灾危险分级系统:在研究原型中实施火灾行为计算以预报火灾危险 †

IF 2.9 3区 农林科学 Q1 FORESTRY International Journal of Wildland Fire Pub Date : 2024-04-10 DOI:10.1071/wf23142
B. J. Kenny, S. Matthews, S. Sauvage, S. Grootemaat, J. J. Hollis, P. Fox-Hughes
{"title":"澳大利亚火灾危险分级系统:在研究原型中实施火灾行为计算以预报火灾危险 †","authors":"B. J. Kenny, S. Matthews, S. Sauvage, S. Grootemaat, J. J. Hollis, P. Fox-Hughes","doi":"10.1071/wf23142","DOIUrl":null,"url":null,"abstract":"<strong> Background</strong><p>The Australian Fire Danger Rating System (AFDRS) was implemented operationally throughout Australia in September 2022, providing calculation of fire danger forecasts based on peer-reviewed fire behaviour models. The system is modular and allows for ongoing incorporation of new scientific research and improved datasets.</p><strong> Aims</strong><p>Prior to operational implementation of the AFDRS, a Research Prototype (AFDRS<sub>RP</sub>), described here, was built to test the input data and systems and evaluate the performance and potential outputs.</p><strong> Methods</strong><p>Fire spread models were selected and aligned with fuel types in a process that captured bioregional variation in fuel characteristics. National spatial datasets were created to identify fuel types and fire history in alignment with existing spatial weather forecast layers.</p><strong> Key results</strong><p>The AFDRS<sub>RP</sub> demonstrated improvements over the McArthur Forest and Grass Fire Danger systems due to its use of improved fire behaviour models, as well as more accurately reflecting the variation in fuels.</p><strong> Conclusions</strong><p>The system design was robust and allowed for the incorporation of updates to the models and datasets prior to implementation of the AFDRS.</p>","PeriodicalId":14464,"journal":{"name":"International Journal of Wildland Fire","volume":"29 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Australian Fire Danger Rating System: implementing fire behaviour calculations to forecast fire danger in a research prototype †\",\"authors\":\"B. J. Kenny, S. Matthews, S. Sauvage, S. Grootemaat, J. J. Hollis, P. Fox-Hughes\",\"doi\":\"10.1071/wf23142\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong> Background</strong><p>The Australian Fire Danger Rating System (AFDRS) was implemented operationally throughout Australia in September 2022, providing calculation of fire danger forecasts based on peer-reviewed fire behaviour models. The system is modular and allows for ongoing incorporation of new scientific research and improved datasets.</p><strong> Aims</strong><p>Prior to operational implementation of the AFDRS, a Research Prototype (AFDRS<sub>RP</sub>), described here, was built to test the input data and systems and evaluate the performance and potential outputs.</p><strong> Methods</strong><p>Fire spread models were selected and aligned with fuel types in a process that captured bioregional variation in fuel characteristics. National spatial datasets were created to identify fuel types and fire history in alignment with existing spatial weather forecast layers.</p><strong> Key results</strong><p>The AFDRS<sub>RP</sub> demonstrated improvements over the McArthur Forest and Grass Fire Danger systems due to its use of improved fire behaviour models, as well as more accurately reflecting the variation in fuels.</p><strong> Conclusions</strong><p>The system design was robust and allowed for the incorporation of updates to the models and datasets prior to implementation of the AFDRS.</p>\",\"PeriodicalId\":14464,\"journal\":{\"name\":\"International Journal of Wildland Fire\",\"volume\":\"29 1\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Wildland Fire\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1071/wf23142\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Wildland Fire","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1071/wf23142","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0

摘要

背景澳大利亚火险等级评定系统(AFDRS)于 2022 年 9 月在澳大利亚全国投入使用,根据经同行评审的火灾行为模型计算火险预报。该系统采用模块化设计,可不断纳入新的科研成果和改进的数据集。目的在 AFDRS 投入使用之前,建立了一个研究原型(AFDRSRP),以测试输入数据和系统,并评估其性能和潜在输出。方法在捕捉生物区域燃料特征变化的过程中,选择火灾蔓延模型并与燃料类型相匹配。创建了国家空间数据集,以确定燃料类型和火灾历史,并与现有的空间天气预报层保持一致。主要成果AFDRSRP 与麦克阿瑟森林和草地火险系统相比有所改进,因为它使用了改进的火灾行为模型,并更准确地反映了燃料的变化。结论该系统设计稳健,允许在实施 AFDRS 之前对模型和数据集进行更新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Australian Fire Danger Rating System: implementing fire behaviour calculations to forecast fire danger in a research prototype †
Background

The Australian Fire Danger Rating System (AFDRS) was implemented operationally throughout Australia in September 2022, providing calculation of fire danger forecasts based on peer-reviewed fire behaviour models. The system is modular and allows for ongoing incorporation of new scientific research and improved datasets.

Aims

Prior to operational implementation of the AFDRS, a Research Prototype (AFDRSRP), described here, was built to test the input data and systems and evaluate the performance and potential outputs.

Methods

Fire spread models were selected and aligned with fuel types in a process that captured bioregional variation in fuel characteristics. National spatial datasets were created to identify fuel types and fire history in alignment with existing spatial weather forecast layers.

Key results

The AFDRSRP demonstrated improvements over the McArthur Forest and Grass Fire Danger systems due to its use of improved fire behaviour models, as well as more accurately reflecting the variation in fuels.

Conclusions

The system design was robust and allowed for the incorporation of updates to the models and datasets prior to implementation of the AFDRS.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
5.50
自引率
9.70%
发文量
67
审稿时长
12-24 weeks
期刊介绍: International Journal of Wildland Fire publishes new and significant articles that advance basic and applied research concerning wildland fire. Published papers aim to assist in the understanding of the basic principles of fire as a process, its ecological impact at the stand level and the landscape level, modelling fire and its effects, as well as presenting information on how to effectively and efficiently manage fire. The journal has an international perspective, since wildland fire plays a major social, economic and ecological role around the globe. The International Journal of Wildland Fire is published on behalf of the International Association of Wildland Fire.
期刊最新文献
Cross-landscape fuel moisture differences impact simulated fire behaviour Blackout burning in dry conditions increases long-term fire severity risk Observations of wildfire spread dynamics in southern Australian grasslands Expanding our understanding of nitrogen dynamics after fire: how severe fire and aridity reduce ecosystem nitrogen retention Assessing changes in high-intensity fire events in south-eastern Australia using Fourier Transform Infra-red (FITR) spectroscopy
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1