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2000-2020 年中国森林火灾研究进展分析
引用本文: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.
作者姓名:王睿琛  龙腾腾  王秋华
作者单位:1. 西南林业大学 土木工程学院,云南 昆明 650224; 2.西南林业大学 云南省森林灾害预警与控制重点实验室,云南 昆明 650224; 3.西南林业大学 西南林业大学消防研究所,云南 昆明 650224
基金项目:云南省教育厅科学研究项目(2020Y0382,2019Y0145);大学生创新创业项目(202010677134)
摘    要:为了解我国森林火灾相关的发展现状和研究方向。对中国知网(CNKI)数据库中2000-2020年的林火研究文献运用文献计量法进行统计分析,借助CiteSpace绘制知识图谱,并采用关键词聚类、关键词突现和时线图相结合的方法来分析前沿热点关键词。结果表明,森林火灾论文研究主题主要为森林火灾发生规律及影响因素、森林火灾管理、森林火灾预防、大兴安岭;作者之间需加强合作研究;未来研究热点可总结为森林防灭火研究,包括林火预测预报、生物防火林带、森林火险。研究对结果进行了分析,可使学者加深对这一领域的整体认识,并对未来研究热点进行展望。

关 键 词:森林火灾  CNKI  文献计量法  知识图谱  CiteSpace  

Analysis on the progress of forest fire research in China from 2000 to 2020
WANG Rui-chen,LONG Teng-teng,WANG Qiu-hua.Analysis on the progress of forest fire research in China from 2000 to 2020[J].Fire Science and Technology,2021,40(10):1529-1533.
Authors:WANG Rui-chen  LONG Teng-teng  WANG Qiu-hua
Affiliation:(1. Faculty of Civil Engineering, Southwest Forestry University, Yunnan Kunming 650224, China; 2. Yunnan Key Laboratory of Forest Disaster Warning and Control, Southwest Forestry University, Yunnan Kunming 650224, China; 3. Fire Safety Research Institute of Southwest Forestry University, Southwest Forestry University, Yunnan Kunming 650224, Chi
Abstract:In order to understand the development status and research directions related to forest fires in China, bibliometric was used to analyze the forest fire research literature in the China national knowledge infrastructure(CNKI) database from 2000 to 2020. A knowledge graph was draw with the help of CiteSpace. Keyword clustering, and a combination of keyword emergence and timeline graph method were used to analyze frontier hot keywords. The results showed that the main themes of forest fire research papers are forest fire occurrence rules and influencing factors, forest fire management, forest fire prevention, Daxing'an Mountain range; the authors need to strengthen collaborative research; future research hotspots can be summarized as forest fire prevention research, including forest fire predicting forecasts, biological fire-resistant forest belts, forest fire danger. The analysis of the results enables scholars to deepen the overall understanding of this field and to look forward to future research hotspots.
Keywords:forest fire  CNKI  bibliometric  knowledge graph  CiteSpace  
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