Іmproving基于风险导向方法的林地自然火灾危险评估方法

S. Sydorenko, Ye. Melnyk, O. Botsula, I. Koval, V. Voron, S. Sydorenko, R. Hurzhii
{"title":"Іmproving基于风险导向方法的林地自然火灾危险评估方法","authors":"S. Sydorenko, Ye. Melnyk, O. Botsula, I. Koval, V. Voron, S. Sydorenko, R. Hurzhii","doi":"10.33730/2077-4893.2.2023.283699","DOIUrl":null,"url":null,"abstract":"An analysis of the combustibility of the forests of «Zhovtneve» State Enterprise was carried out, with the identification of the most fire-prone forests. The distribution of the forest fund plots of each of the researched forestry by classes of natural fire hazard was analyzed. The spatial distribution of the fire density including forest fires as well as wildfires in the 500- meter buffer zone around forest was studied. The article describes a methodology that allows improving the existing methodology for assessing the natural fire hazard of forest lands based on a risk-oriented approach. According to the Kernel density algorithm with the use of desktop GIS systems, a map of the probability of fire occurrence was built. According to the results of the Kernel Density algorithm, the main flammability centers and the density of fires were identified and the territory of the enterprise was divided into classes according to the probability of fires. According to the proposed classification of the fire probability occurrence: low (up to 10.6 cases is the arithmetic average for the entire map); medium (from 10.7 to 28 — 1.01–1.5σ); high (over 28 — over 1.5σ). The integration of the probability of fire occurrence into the scale of natural fire hazard was carried out through the technique of «risk matrices». Thus, the combination of the classes of natural fire hazard classes with the classes of the fire probability occurrence made it possible to obtain an integrated FRS indicator (Fire Risk Score), which includes both: the level of natural fire hazard and the probability of fire occurrence. In order to verify the results, calculations of actual flammability (fire density and flammability by burnt area) were carried out for each class of the national scale of fire hazard and for the FRS classes of each plot. It was found that significant levels of flammability are characteristic only for the first two classes of natural fire hazard (fire density 83.64 cases per 1000 hectares of forests), the flammability of forests with higher natural hazard classes is practically absent, which indicates the need to differentiate the tree stands that are belongs to these two classes. On the other hand, classifying forests with the assignment of points according to FRS revealed an increase in the indicators of forest combustibility and fire density as the FRS indicator increases (at FRS values of 2–3 there are no fires, at FRS values from 4 to 8, combustibility is moderate (from 1.25 to 3.7 cases per 1000 ha), at values above 9 points, the flammability increases sharply and reaches its peak at the FRS value of 13 points (224.5 cases per 1000 ha). Thus, the improved scale based on the risk-oriented approach (fire risk score) more fully reflects the level of danger in the forest based not only on the natural features of the area and fuel complexes characteristics, but also taking into account the spatial location of fire sources and the frequency of fires in each location.","PeriodicalId":7521,"journal":{"name":"Agroecological journal","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Іmproving the methodology of natural fire hazard assessment for forested lands based on a risk-oriented approach\",\"authors\":\"S. Sydorenko, Ye. Melnyk, O. Botsula, I. Koval, V. Voron, S. Sydorenko, R. Hurzhii\",\"doi\":\"10.33730/2077-4893.2.2023.283699\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An analysis of the combustibility of the forests of «Zhovtneve» State Enterprise was carried out, with the identification of the most fire-prone forests. The distribution of the forest fund plots of each of the researched forestry by classes of natural fire hazard was analyzed. The spatial distribution of the fire density including forest fires as well as wildfires in the 500- meter buffer zone around forest was studied. The article describes a methodology that allows improving the existing methodology for assessing the natural fire hazard of forest lands based on a risk-oriented approach. According to the Kernel density algorithm with the use of desktop GIS systems, a map of the probability of fire occurrence was built. According to the results of the Kernel Density algorithm, the main flammability centers and the density of fires were identified and the territory of the enterprise was divided into classes according to the probability of fires. According to the proposed classification of the fire probability occurrence: low (up to 10.6 cases is the arithmetic average for the entire map); medium (from 10.7 to 28 — 1.01–1.5σ); high (over 28 — over 1.5σ). The integration of the probability of fire occurrence into the scale of natural fire hazard was carried out through the technique of «risk matrices». Thus, the combination of the classes of natural fire hazard classes with the classes of the fire probability occurrence made it possible to obtain an integrated FRS indicator (Fire Risk Score), which includes both: the level of natural fire hazard and the probability of fire occurrence. In order to verify the results, calculations of actual flammability (fire density and flammability by burnt area) were carried out for each class of the national scale of fire hazard and for the FRS classes of each plot. It was found that significant levels of flammability are characteristic only for the first two classes of natural fire hazard (fire density 83.64 cases per 1000 hectares of forests), the flammability of forests with higher natural hazard classes is practically absent, which indicates the need to differentiate the tree stands that are belongs to these two classes. On the other hand, classifying forests with the assignment of points according to FRS revealed an increase in the indicators of forest combustibility and fire density as the FRS indicator increases (at FRS values of 2–3 there are no fires, at FRS values from 4 to 8, combustibility is moderate (from 1.25 to 3.7 cases per 1000 ha), at values above 9 points, the flammability increases sharply and reaches its peak at the FRS value of 13 points (224.5 cases per 1000 ha). Thus, the improved scale based on the risk-oriented approach (fire risk score) more fully reflects the level of danger in the forest based not only on the natural features of the area and fuel complexes characteristics, but also taking into account the spatial location of fire sources and the frequency of fires in each location.\",\"PeriodicalId\":7521,\"journal\":{\"name\":\"Agroecological journal\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agroecological journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33730/2077-4893.2.2023.283699\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agroecological journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33730/2077-4893.2.2023.283699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

对“Zhovtneve”国营企业森林的可燃性进行了分析,确定了最容易发生火灾的森林。根据自然火害的不同等级,分析了研究区森林基金样地的分布情况。研究了森林周围500 m缓冲带内森林火灾和山火密度的空间分布。本文描述了一种方法,该方法可以改进现有的评估林地自然火灾危险的方法,该方法基于面向风险的方法。利用桌面GIS系统,根据核密度算法,建立了火灾发生概率图。根据核密度算法的结果,确定了主要的可燃性中心和火灾密度,并根据火灾发生的概率对企业的领土进行了分类。根据提出的火灾发生概率分类:低(整个地图的算术平均值高达10.6例);中(10.7 ~ 28 - 1.01 ~ 1.5σ);高(大于28 -大于1.5σ)。通过“风险矩阵”技术将火灾发生概率整合到自然火灾危害尺度中。因此,将自然火灾危险等级与火灾发生概率等级相结合,可以得到一个综合的FRS指标(fire Risk Score),该指标既包括自然火灾危险等级,也包括火灾发生概率。为了验证结果,对国家火灾危险等级和每个地块的FRS等级进行了实际可燃性(火灾密度和燃烧面积可燃性)的计算。研究发现,只有前两类自然火险(每1000公顷森林的火灾密度为83.64例)具有显著的可燃性水平,较高自然火险等级的森林几乎没有可燃性,这表明需要区分属于这两类的林分。另一方面,森林分类的任务点根据FRS显示增加森林燃烧性的指标和火力密度随着FRS指标的增加(在FRS 2 - 3的值没有火灾,在FRS值从4到8,可燃性适中(从1.25到3.7例每1000公顷),值高于9分,可燃性大幅增加,达到峰值的FRS值13分(224.5情况下每1000公顷)。因此,基于风险导向方法的改进尺度(火灾风险评分)不仅基于区域的自然特征和燃料综合体特征,而且考虑了火源的空间位置和每个位置的火灾频率,更充分地反映了森林的危险程度。
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
Іmproving the methodology of natural fire hazard assessment for forested lands based on a risk-oriented approach
An analysis of the combustibility of the forests of «Zhovtneve» State Enterprise was carried out, with the identification of the most fire-prone forests. The distribution of the forest fund plots of each of the researched forestry by classes of natural fire hazard was analyzed. The spatial distribution of the fire density including forest fires as well as wildfires in the 500- meter buffer zone around forest was studied. The article describes a methodology that allows improving the existing methodology for assessing the natural fire hazard of forest lands based on a risk-oriented approach. According to the Kernel density algorithm with the use of desktop GIS systems, a map of the probability of fire occurrence was built. According to the results of the Kernel Density algorithm, the main flammability centers and the density of fires were identified and the territory of the enterprise was divided into classes according to the probability of fires. According to the proposed classification of the fire probability occurrence: low (up to 10.6 cases is the arithmetic average for the entire map); medium (from 10.7 to 28 — 1.01–1.5σ); high (over 28 — over 1.5σ). The integration of the probability of fire occurrence into the scale of natural fire hazard was carried out through the technique of «risk matrices». Thus, the combination of the classes of natural fire hazard classes with the classes of the fire probability occurrence made it possible to obtain an integrated FRS indicator (Fire Risk Score), which includes both: the level of natural fire hazard and the probability of fire occurrence. In order to verify the results, calculations of actual flammability (fire density and flammability by burnt area) were carried out for each class of the national scale of fire hazard and for the FRS classes of each plot. It was found that significant levels of flammability are characteristic only for the first two classes of natural fire hazard (fire density 83.64 cases per 1000 hectares of forests), the flammability of forests with higher natural hazard classes is practically absent, which indicates the need to differentiate the tree stands that are belongs to these two classes. On the other hand, classifying forests with the assignment of points according to FRS revealed an increase in the indicators of forest combustibility and fire density as the FRS indicator increases (at FRS values of 2–3 there are no fires, at FRS values from 4 to 8, combustibility is moderate (from 1.25 to 3.7 cases per 1000 ha), at values above 9 points, the flammability increases sharply and reaches its peak at the FRS value of 13 points (224.5 cases per 1000 ha). Thus, the improved scale based on the risk-oriented approach (fire risk score) more fully reflects the level of danger in the forest based not only on the natural features of the area and fuel complexes characteristics, but also taking into account the spatial location of fire sources and the frequency of fires in each location.
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
自引率
0.00%
发文量
0
期刊最新文献
Field forest strips of the Middle Dnipro Area Forest- Steppe as raw areas for beekeeping Some aspects of returning radioactively contaminated lands in Polissіa region of Ukraine to agricultural use Influence of daily feeding ration of cattle on the transfer of 137Cs and 90Sr to animal organisms and manure in the agroecosystems of Central Forest-Steppe Social component as a factor and indicator of sustainable development of Ukrainian Polissia region Weediness of soybean (Glycine max) crops under different systems of main tillage and green manuring
×
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