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WU Xianhua, ZHENG Weijian, WANG Xiaomeng, CHENG Jianhui, DONG Lu, XU Qingfu. Research on Characteristics of Forest Fire Sources and Preventive Countermeasures in Quzhou[J]. Journal of Zhejiang Forestry Science and Technology, 2024, 44(6): 98-104. DOI: 10.3969/j.issn.1001-3776.2024.06.013
Citation: WU Xianhua, ZHENG Weijian, WANG Xiaomeng, CHENG Jianhui, DONG Lu, XU Qingfu. Research on Characteristics of Forest Fire Sources and Preventive Countermeasures in Quzhou[J]. Journal of Zhejiang Forestry Science and Technology, 2024, 44(6): 98-104. DOI: 10.3969/j.issn.1001-3776.2024.06.013

Research on Characteristics of Forest Fire Sources and Preventive Countermeasures in Quzhou

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  • Received Date: June 07, 2024
  • Revised Date: September 24, 2024
  • Objective 

    To study the characteristics of forest fire sources and provide reference for the development of emergency mechanisms for forest fire prevention and control measures for fire sources.

    Method 

    The study utilizes data from the first forest fire risk level and forest resource risk level survey in Quzhou City, forest fire data from Quzhou City from 1991 to 2020, forest fire statistics from Kaihua County for 2015–2022, and daily meteorological data from Kaihua County for 2015–2022. It analyzes the spatiotemporal characteristics of forest fire occurrences and the inter-day distribution characteristics of forest fires during consecutive days without rainfall.

    Result 

    The findings indicate that 82.1% of forest fires in Quzhou City are controllable. Forest fires occur most frequently in February, March, and April each year, accounting for 64.8% of all incidents. The high-incidence time period is between 12:00 PM and 4:00 PM daily, accounting for 64.4%. The regional distribution of forest fires correlates positively with the area's forest fire risk level and forest resource risk level. In Kaihua County, forest fires mostly occur between the 2nd and 7th days after rainfall, whereas fires are rarely observed during continuous sunny periods lasting more than half a month.

    Conclusion 

    It is recommended that government departments allocate fire prevention and suppression resources based on the historical regional distribution patterns of forest fires to maximize the performance of financial resources. During key time periods with high fire incidence, forest fire prevention personnel should strengthen fire prevention publicity and patrol supervision, strictly control outdoor fire sources, and prevent forest fires caused by negligence.

  • [1]
    CHANDRA R,AGARWAL S,SINGH N . Semantic sensor network ontology based decision support system for forest fire management[J]. ArXiv e-prints,2022,2204:03059.
    [2]
    李秀芬,郭昭滨,赵慧颖,等. 大兴安岭气候干湿变化及对森林火灾的影响[J]. 应用气象学报,2018,29(5):619 − 629. doi: 10.11898/1001-7313.20180510
    [3]
    王睿琛,龙腾腾,王秋华. 2000—2020年中国森林火灾研究进展分析[J]. 消防科学与技术,2021,40(10):1529 − 1533.
    [4]
    高超,林红蕾,胡海清,等. 我国林火发生预测模型研究进展[J]. 应用生态学报,2020,31( 9) :3227 − 3240.
    [5]
    HU T Y,ZHOU G S. Drivers of lightning and human-caused fire regimes in the Great Xing’an Mountains[J]. Forest Ecology and Management,2014,329:49 − 58.
    [6]
    张洁,赵浩彦,张民侠,等. 广义线性模型在林火发生预报中的应用[J]. 林业工程学报,2017,2(1):135 − 142.
    [7]
    朱贺,张珍,杨凇,等. 我国南北方森林火灾时空分布及火险期动态变化特征[J/OL]. 生态学杂志. https://kns.cnki.net/kcms/detail/21.1148.Q.20220620.1231.008.htm.
    [8]
    梁慧玲,郭福涛,王文辉,等. 小兴安岭伊春地区林火发生自然影响因子及其影响力[J]. 东北林业大学学报,2015,43(12):29 − 35. doi: 10.3969/j.issn.1000-5382.2015.12.007
    [9]
    高超,林红蕾,胡海清,等. 基于气象因子的黑龙江黑河林火发生概率预测[J]. 森林与环境学报,2022,42(5):529 − 535.
    [10]
    熊胜,高建忠,程建慧. 衢州市森林火灾成因分析及其预防对策[J]. 森林防火,2014(2):20 − 22. doi: 10.3969/j.issn.1002-2511.2014.02.007
    [11]
    周慧,唐林,黎祖贤,等. 湖南省森林火灾时空分布特征及典型个例分析[J]. 沙漠与绿洲气象,2021,15(6):129 − 133.
    [12]
    白世红,马风云,董金伟. 山东省森林火火源的时空分布[J]. 山东林业科技,2017,232(5):6 − 10.
    [13]
    雷宇. 从档案看四川森林火灾预防及处置[J]. 四川档案,2020,214(2):51 − 53.
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