基于锥形量热仪的 5 种乔木树种燃烧特性及火灾风险评估

刘宇舜 ,  赵晓青 ,  丁一阳 ,  孙韬 ,  张佳庆 ,  过琾 ,  石龙 ,  缪煦扬

燃烧科学与技术 ›› 2026, Vol. 32 ›› Issue (3) : 291 -298.

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燃烧科学与技术 ›› 2026, Vol. 32 ›› Issue (3) : 291 -298.

基于锥形量热仪的 5 种乔木树种燃烧特性及火灾风险评估

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Combustion Characteristics and Fire Risk Assessment of Five Tree Species Using Cone Calorimeter

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摘要

森林火灾对生态系统和社会安全构成严重威胁,而不同树种可燃物的燃烧性能直接决定了火灾风险。本研究选取安徽省主要的 5 种乔木树种(无患子(Sapindus saponaria)、香樟(Cinnamomum camphora)、朴树(Celtis sinensis)、杨梅(Morella rubra)和杉树(Cunninghamia lanceolata))作为研究对象利用锥形量热仪在 20 kW/m2 、 30 kW/m2、40 kW/m2 和 50 kW/m2 共 4 种热辐射强度下开展燃烧性能测试,并基于点燃时间、热释放速率、总释放热量、总生烟量等指标对火灾风险进行综合分析。结果表明,在辐射强度为 40 kW/m2 的情况下,杉树点燃时间最短(3 s),点燃风险最高;同时其热释放速率峰值最大(214.1 kW/m2),且达到峰值时间最短(12 s),火势蔓延风险最大.香樟的总生烟量(81.0 m2/m2)最大,烟危险性最大,无患子的 CO/CO2 生成速率比值(平均值)最大,带来最高的中毒风险。相比之下,朴树和杨梅点燃时间较长、燃烧剧烈性较弱,整体火灾风险较低。本研究揭示了不同树种在点燃风险、蔓延风险和烟气风险上的显著差异,为森林火险评估、可燃物管理及输电线路火灾防控提供了科学依据。

Abstract

Forest fires pose a serious threat to both ecosystems and social security,and the combustion properties of different tree species directly determine the level of fire risk.In this study,five major tree species in Anhui Prov-ince-Sapindus saponaria,Cinnamomum camphora,Celtis sinensis,Morella rubra,and Cunninghamia lanceolata-were selected as research objects.Combustion performance tests were conducted using a cone calorimeter under four heat fluxes $\left(20\text{ }\mathrm{k}\mathrm{W}/{\mathrm{m}}^{2},30\text{ }\mathrm{k}\mathrm{W}/{\mathrm{m}}^{2},40\text{ }\mathrm{k}\mathrm{W}/{\mathrm{m}}^{2}\right.$,and 50 kW/m2).Fire risks were comprehensively evaluated based on ignition time(TTI),heat release rate(HRR),total heat release(THR),and total smoke release(TSR). Results showed that under a heat flux of 40 kW/m2, C.lanceolata exhibited the shortest ignition time(3 s),indicat-ing the highest ignition risk.It also had the highest peak HRR (214.1 kW/m2) and the shortest time to peak HRR (12 s),suggesting the greatest risk of fire spread.The total smoke production (81.0 m2/m2) of C.camphora is the highest,representing the greatest smoke toxicity risk.The CO/CO2 ratio(average)of Sapindus saponaria is the highest,posing the highest risk of poisoning.In contrast,C.sinensis and M.rubra showed longer ignition times, weaker combustion intensity,and overall lower fire risk.This study highlights significant differences among tree species in ignition risk,fire spread risk,and smoke toxicity risk,providing essential scientific evidence for forest fire risk assessment,fuel management,and fire prevention strategies in transmission line corridors.

关键词

锥形量热仪 / 乔木树种 / 火灾危险性 / 燃烧性能 / 热释放速率

Key words

cone calorimeter / tree species / fire hazard / combustion properties / heat release rate

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引用格式 ▾
刘宇舜,赵晓青,丁一阳,孙韬,张佳庆,过琾,石龙,缪煦扬. 基于锥形量热仪的 5 种乔木树种燃烧特性及火灾风险评估[J]. 燃烧科学与技术, 2026, 32(3): 291-298 DOI:

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参考文献

[1]

王连荣, 黄天来, 李勇. 森林自然灾害分类与研究现状[J]. 林业科技通讯, 2022(8):8-13.

[2]

Wang Lianrong, Huang Tianlai, Li Yong. Classification and research status of forest natural disasters[J]. For-estry Science and Technology, 2022(8):8-13(in Chi-nese).

[3]

聂明, 李川, 杜洋文. 我国森林火灾的影响及灾后综合治理[J]. 湖北林业科技, 2023, 52(6):77-80.

[4]

Nie Ming, Li Chuan, Du Yangwen. Impacts of forest fires in China and comprehensive post-disaster manage-ment[J]. Hubei Forestry Science and Technology, 2023, 52 (6):77-80 (in Chinese).

[5]

范江涛. 输电线路因山火跳闸事故统计特性与识别分析[J]. 化工管理, 2018(14): 150.

[6]

Fan Jiangtao. Statistical characteristics and identification analysis of transmission line trip accidents caused by mountain fires[J]. Chemical Industry Management, 2018(14): 150 (in Chinese).

[7]

戚振彪, 郭晓雪, 寿宇铭, . 林区架空配电线路诱发森林火灾风险评估[J]. 消防科学与技术, 2023, 42 (6):829-834.

[8]

Qi Zhenbiao, Guo Xiaoxue, Shou Yuming, et al. Risk assessment of fires induced by overhead distribution lines across forest areas[J]. Fire Science and Technology, 2023, 42 (6):829-834 (in Chinese).

[9]

高云骥, 罗越扬, 杨小龙, . 可燃物清理对西昌市森林火灾危险性的影响研究[J]. 消防科学与技术, 2022, 41 (11):1563-1567.

[10]

Gao Yunji, Luo Yueyang, Yang Xiaolong, et al. Study on effect of fuel clearing on risk of Xichang forest fire[J]. Fire Science and Technology, 2022, 41(11): 1563-1567 (in Chinese).

[11]

张运生, 舒立福, 翟春婕, . 滇中地区 9 个树种的连续燃烧性能[J]. 中南林业科技大学学报, 2023, 43 (8):1-8.

[12]

Zhang Yunsheng, Shu Lifu, Zhai Chunjie, et al. The continuous combustibility of nine tree species in central Yunnan[J]. Journal of Central South University of For-estry and Technology, 2023, 43 (8):1-8 (in Chinese).

[13]

洪澎涛, 郭妍, 胡海清. 基于热重分析的大兴安岭乔灌木树种燃烧性[J]. 中南林业科技大学学报, 2022, 42 (11):80-93.

[14]

Hong Pengtao, Guo Yan, Hu Haiqing. Combustibility of arbor and shrub species in the Greater Khingan Moun-tains based on thermogravimetric analysis[J]. Journal of Central South University of Forestry and Technology, 2022, 42 (11):80-93 (in Chinese).

[15]

闫想想, 王秋华, 李晓娜, . 昆明周边主要林型地表可燃物的燃烧特性研究[J]. 西南林业大学学报(自然科学), 2020, 40(5):135-142.

[16]

Yan Xiangxiang, Wang Qiuhua, Li Xiaona, et al. Combustion characteristics of surface fuels in major for-est types around Kunming[J]. Journal of Southwest For-estry University(Natural Science), 2020, 40 (5):135-142 (in Chinese).

[17]

杨艳波, 徐丽娜, 周勇, . 可燃物床层结构对燃烧性评价影响研究[J]. 消防科学与技术, 2021, 40(10):1539-1543.

[18]

Yang Yanbo, Xu Lina, Zhou Yong, et al. Study on the influence of combustible bed structure on combustibility evaluation[J]. Fire Science and Technology, 2021, 40 (10):1539-1543 (in Chinese).

[19]

宋彦彦, 金森, 汪兆洋. 4 种草本可燃物的热解特性和动力学研究[J]. 中南林业科技大学学报, 2012, 32 (11):51-55.

[20]

Song Yanyan, Jin Sen, Wang Zhaoyang. Pyrolysis characteristics and kinetics of four herbaceous fuels[J]. Journal of Central South University of Forestry and Technology, 2012, 32(11):51-55 (in Chinese).

[21]

张运生, 舒立福, 闫想想, . 广西 4 种乔木树叶的燃烧性差异研究[J]. 南京林业大学学报(自然科学版), 2021, 45(4):195-200.

[22]

Zhang Yunsheng, Shu Lifu, Yan Xiangxiang, et al. Combustibility differences of leaves from four arbor spe-cies in Guangxi[J]. Journal of Nanjing Forestry Univer-sity(Natural Sciences), 2021, 45(4):195-200 (in Chinese).

[23]

金森, 杨艳波. 基于锥形量热仪的一维和三维燃烧性评价比较:以南方 7 种树叶为例[J]. 林业科学, 2016, 52(8):88-95.

[24]

Jin Sen, Yang Yanbo. Comparison of one-dimensional and three-dimensional combustibility evaluations based on cone calorimeter:A case study of seven tree species leaves in southern China[J]. Scientia Silvae Sinicae, 2016, 52(8):88-95 (in Chinese).

[25]

张颖, 丁昱菲. 我国森林灾害的空间分布分析[J]. 北京林业大学学报, 2019, 41(3):68-79.

[26]

Zhang Ying, Ding Yufei. Spatial distribution analysis of forest disasters in China[J]. Journal of Beijing Forestry University, 2019, 41 (3):68-79 (in Chinese).

[27]

王佳辰, 冯雨馨, 郝志尚, . 安徽省森林火灾预测及分析[J]. 大众标准化, 2021(13):198-200.

[28]

Wang Jiachen, Feng Yuxin, Hao Zhishang, et al. Pre-diction and analysis of forest fires in Anhui Province[J]. Public Standardization, 2021(13):198-200(in Chi-nese).

[29]

郝权, 蒋曙光, 位爱竹, . 锥形量热仪在火灾科学研究中的应用[J]. 能源技术与管理, 2009(1):72-75.

[30]

Hao Quan, Jiang Shuguang, Wei Aizhu, et al. Appli-cation of cone calorimeter in fire science research[J]. Energy Technology and Management, 2009(1):72-75 (in Chinese).

[31]

陆峰, 朱国庆. 常见地板燃烧特性研究与分析[J]. 消防科学与技术, 2023, 42(6):757-761.

[32]

Lu Feng, Zhu Guoqing. Study and analysis of combus-tion characteristics of common flooring materials[J]. Fire Science and Technology, 2023, 42 (6):757-761 (in Chinese).

[33]

Shi L, Chew M Y L. Fire behaviors of polymers under autoignition conditions in a cone calorimeter[J]. Fire Safety Journal, 2013, 61:243-253.

[34]

刘杰, 陆守香, 陈潇. 常用木板材料的燃烧特性研究[J]. 消防科学与技术, 2016, 35(9):1197-1200.

[35]

Liu Jie, Lu Shouxiang, Chen Xiao. Study on the com-bustion characteristics of commonly used wood-based panels[J]. Fire Science and Technology, 2016, 35(9):1197-1200 (in Chinese).

[36]

Bai Z. Burning characteristics of power cables with cone calorimeter[J]. Heliyon, 2024, 10 (3):e25103.

[37]

Shi L, Chew M Y L. Influence of moisture on autoigni-tion of woods in cone calorimeter[J]. Journal of Fire Sciences, 2012, 30 (2):158-169.

[38]

李克, 倪泽仁, 刘晓东, . 南京市 5 种常见树种的燃烧性研究[J]. 西北农林科技大学学报(自然科学版), 2020, 48(1):103-110.

[39]

Li Ke, Ni Zeren, Liu Xiaodong, et al. Combustibility study of five common tree species in Nanjing[J]. Jour-nal of Northwest \& University(Natural Science Edi-tion), 2020, 48(1):103-110 (in Chinese).

[40]

Wang Y, Wang W, Zhou H, et al. Burning characteris-tics of ancient wood from traditional buildings in Shanxi Province,China[J].Forests, 2022, 13(2): 190.

[41]

尚健雄, 胡进波, 苌姗姗, . 基于 CONE 的速生人工林杨树木材热释放特性研究[J]. 林产工业, 2020, 57(6):7-11, 22.

[42]

Shang Jianxiong, Hu Jinbo, Chang Shanshan, et al. Study on the heat release characteristics of fast-growing poplar plantation wood based on cone calorimeter[J]. China Forest Products Industry, 2020, 57(6):7-11, 22 (in Chinese).

[43]

程静. 建筑外墙保温层玻纤网孔径对火灾风险性影响研究[D]. 淮南: 安徽理工大学, 2024.

[44]

Cheng Jing. Research on the Influence of Glass Fiber Mesh Aperture on Fire Risk of Building Exterior Wall In-sulation of layer[D]. Huainan: Anhui University of Sci-ence and Technology, 2024 (in Chinese).

[45]

邓湘雯, 田大伦, 康文星, . 杉木人工林生态系统可燃物空间分布规律研究[J]. 火灾科学, 2007, 16(1):21-25.

[46]

Deng Xiangwen, Tian Dalun, Kang Wenxing, et al. Study on the spatial distribution of combustible materials in Cunninghamia lanceolata plantation ecosystems[J]. Fire Science, 2007, 16(1):21-25 (in Chinese).

基金资助

国网安徽省电力有限公司科技项目资助(B31205240012)

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