全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

西方国家森林火灾研究架构与技术建树
Forest Fire Research Framework and Technical Achievements in Western Countries

DOI: 10.12677/WJF.2022.112006, PP. 47-55

Keywords: 森林防火,研究机构,研究策略,防治技术,系统化,信息化,标准化,生态保护
Wildland Fire
, Research Institution, Research Strategy, Fire Prevention and Control Technology, Systematization, Informatization, Standardization, Ecological Protection

Full-Text   Cite this paper   Add to My Lib

Abstract:

本文从西方国家研究机构的主要技术成就出发,对其利用经典实验方法和理论开发出的先进森林火灾防控技术路径进行跟踪和梳理,探讨开发应用技术的一贯性和有效性。美国、加拿大和欧洲等国家及地区开展森林火灾科学防治工作较早,火灾防治研究遵循系统化、信息化和标准化发展理念,技术成果分别覆盖火险监测和预警、火行为预测预报以及应急管理等诸多方面。相应的林火管理的方针导向侧重于科学预防和大幅度使用现有技术成果。近些年全球气候变化加剧,极端天气条件频发,我国森林火灾呈多发性和显著灾害性特点,运用成熟的林火行为和管理的理论以及智能化技术平台对于加强和提升我国林火管理工作的水平有现实意义。
In light of the main technical achievements made by research institutions in western countries, we tracked and sorted out the path of advanced forest fire prevention and control technology developed from the classical experimental methods and theories, and discussed the consistency and effectiveness of the development and application of the associated technical systems. Since an earlier time in last century, forest fire prevention and control research in the United States, Canada, Europe and other countries and regions was carried out by following the development concept of systematization, informationization and standardization, with the technical accomplishments covering fire risk monitoring and early warning, fire behavior prediction and forecasting, and emergency management aspect. The corresponding policy in forest fire management and control focuses on scientific prevention and extensive use of existing technical achievements and systems. In recent years, global climate change has intensified and extreme weather conditions have occurred frequently. Forest fires in China are characterized by frequent occurrences and significant disastrous characteristics. The utilization of mature forest fire behavior and management theories and intelligent technology is essential and has practical significance for strengthening and improving forest fire management levels in China.

References

[1]  王海晖, 宋志龙, 王振师, 李小川. 基于生态学观念的森林防火目标定位和工作策略[J]. 森林防火, 2020(4): 1-8.
[2]  Finney, M.A. (2005) The Challenge of Quantitative Risk Analysis for Wildland Fire. Forest Ecology and Management, 211, 97-108.
https://doi.org/10.1016/j.foreco.2005.02.010
[3]  姚树人, 田晓瑞, 舒立福. 美国林火研究历史与发展趋势[J]. 森林防火, 2002(1): 31-33.
[4]  Andrews, P.L. (2004) Current Status and Future Needs of the BehavePlus Fire Modeling System. International Journal of Wildland Fire, 23, 21-33.
https://doi.org/10.1071/WF12167
[5]  Andrews, P.L. (2010) Do You Behave?—Application of the BehavePlus Fire Modeling System. Proceedings of 3rd Fire Behavior and Fuels Conference, Spokane, 25-29 October 2010, 17 p.
[6]  Smith, J.K., Smith, D.M. and Hardy, C. (2011) 50 Years of Service: The Missoula Fire Sciences Laboratory. Fire Management Today, 71, 24-30.
[7]  Smith, D.M. (2012) The Missoula Fire Sciences Laboratory: A 50-Year Ded-ication to Understanding Wildlands and Fire. Gen. Tech. Rep. RMRS-GTR-270, US Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, 62 p.
https://doi.org/10.2737/RMRS-GTR-270
[8]  Stocks, B.J., Lawson, B.D., Alexander, M.E., et al. (1989) The Ca-nadian Forest Fire Danger Rating System: An Overview. The Forestry Chronicle, 65, 450-457.
https://doi.org/10.5558/tfc65450-6
[9]  信晓颖, 江洪, 周国模, 余树全, 王永和. 加拿大森林火险气候指数系统(FWI)的原理及应用[J]. 浙江农林大学学报, 2011, 28(2): 314-318.
[10]  Wang, X., Wotton, B.M., Cantin, A.S., et al. (2017) CFFDRS: An R Package for the Canadian Forest Fire Danger Rating System. Ecological Processes, 6, 1-11.
https://doi.org/10.1186/s13717-017-0070-z
[11]  Kourtz, P.H. and O’Regan, W.G. (1971) A Model a Small Forest Fire to Simulate Burned and Burning Areas for Use in a Detection Model. Forest Science, 17, 163-169.
[12]  Walding, N.G., Williams, H.T.P., McGarvie, S., et al. (2018) A Comparison of the US National Fire Danger Rating System (NFDRS) with Recorded Fire Occurrence and Final Fire Size. International Journal of Wildland Fire, 27, 99-113.
https://doi.org/10.1071/WF17030
[13]  Xanthopoulos, G., Varela, V., Fernandes, P., et al. (2004) Decision Support Systems and Tools: A State of the Art. Eufirelab: Euro-Mediterranean Wildland Fire Laboratory, a “Wall-Less” Labora-tory for Wildland Fire Sciences and Technologies in the Euro-Mediterranean Region, EVR1-CT-2002-40028, Deliverable D-06-02.
[14]  San-Miguel-Ayanz, J., Barbosa, P., Schmuck, G., et al. (2003) The European Forest Fire Information System (EFFIS). Proceedings of 6th AGILE Conference on Geographic Information Science, Lyon, 24-26 April 2003, 24-26.
[15]  Fujioka, F.M., Weise, D.R., Chen, S.C., et al. (2021) Reaction Intensity Partitioning: A New Perspective of the National Fire Danger Rating System Energy Release Component. International Journal of Wildland Fire, 30, 351-364.
https://doi.org/10.1071/WF20025
[16]  Gavriil, X., Vassiliki, V., Paulo, F. and Luis, R. (2012) Decision Support Systems and Tools: A State of Art. http://www.eufirelab.org/deliverable.php
[17]  Wang, H.-H., Finney, M.A., Song, Z.-L., et al. (2021) Ecological Techniques for Wildfire Mitigation: Two Distinct Fuelbreak Approaches and Their Fusion. Forest Ecology and Management, 495, Article ID: 119376.
https://doi.org/10.1016/j.foreco.2021.119376
[18]  U.S. Forest Service (2021) National Fire Danger Rating System. https://www.firelab.org/project/national-fire-danger-rating-system
[19]  The Canada Centre for Mapping and Earth Observation (2021) The Fire Monitoring, Accounting and Reporting System. https://www.nrcan.gc.ca/our-natural-resources/forests-forestry/wildland-fires-insects-disturban/fire-monitoring-reporting-tool
[20]  肖化顺, 刘小永, 曾思齐. 欧美国家林火研究现状与展望[J]. 西北林学院学报, 2012, 27(2): 131-136.
[21]  Mrozewski, T. (2018) Geospatial Data and Software Reviews. Bulletin-Association of Canadian Map Libraries and Archives (ACMLA), 160, 17-19.
https://doi.org/10.15353/acmla.n160.309
[22]  Nature Resources Canada (2021) Canadian Wildland Fire Information System. https://cwfis.cfs.nrcan.gc.ca
[23]  Ahmed, M.R., Hassan, Q.K., Abdollahi, M., et al. (2019) Introducing a New Remote Sensing-Based Model for Forecasting Forest Fire Danger Conditions at a Four-Day Scale. Remote Sensing, 11, 2101.
https://doi.org/10.3390/rs11182101

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133