森林可燃物含水率及其预测模型研究进展

编号 lyqk005948

中文标题 森林可燃物含水率及其预测模型研究进展

作者 胡海清  罗斯生  罗碧珍  苏漳文  魏书精  孙龙 

作者单位 东北林业大学林学院,哈尔滨 150040,东北林业大学林学院,哈尔滨 150040,东北林业大学林学院,哈尔滨 150040,东北林业大学林学院,哈尔滨 150040,东北林业大学林学院,哈尔滨 150040;桂林理工大学土木与建筑工程学院,广西桂林 541004,东北林业大学林学院,哈尔滨 150040

期刊名称 世界林业研究 

年份 2017 

卷号 30

期号 3

栏目编号 1

栏目名称 专题论述 

中文摘要 森林可燃物是森林火灾发生的物质基础，其含水率的变化直接影响森林可燃物着火的难易程度。高效准确地模拟森林可燃物含水率动态变化的规律，对预测预报林火发生或林火行为具有重要意义。文中从可燃物含水率的影响因子、理论算法、预测模型3个方面阐述了森林可燃物含水率及其预测模型研究进展；指出了研究存在的问题；提出了可燃物含水率研究展望：加强野外定位观测研究，优化测定方法并强化野外采样和室内试验标准化工作，加强可燃物含水率时空异质性研究，加强观测尺度外推问题研究并构建含水率遥感反演模型。

关键词 森林可燃物  含水率  森林火灾  预测模型 

基金项目 国家林业公益性行业科研专项（201404402）；广西自然科学基金（2014GXNSFBA118108）。

英文标题 Forest Fuel Moisture Content and Its Prediction Model

作者英文名 Hu Haiqing, Luo Sisheng, Luo Bizhen, Su Zhangwen, Wei Shujing and Sun Long

单位英文名 College of Forestry,Northeast Forestry University,Harbin 150040,China,College of Forestry,Northeast Forestry University,Harbin 150040,China,College of Forestry,Northeast Forestry University,Harbin 150040,China,College of Forestry,Northeast Forestry University,Harbin 150040,China,College of Forestry,Northeast Forestry University,Harbin 150040,China;College of Civil Engineering and Architecture,Guilin University of Technology,Guilin 541004,Guangxi,China and College of Forestry,Northeast Forestry University,Harbin 150040,China

英文摘要 Forest fuels are the materials that are the basis for forest fire and the dynamics of its moisture content directly affects the possibility of forest fire. Efficient and accurate simulation of the change in forest fuel moisture content is significant for predicting forest fires or fire behaviors. This paper reviewed the research on moisture content of forest fuels and their prediction model from 3 aspects of influence factors, theoretic algorithm and prediction model, and pointed out the problems arising in the research. It was proposed that the research on the moisture content of fuels should put the focus on field positioning observation, optimization of measurements, field sampling and indoor test standardization, heterogeneous spatio and temporal change of fuel moisture content, extrapolation of research scale and the retrieval model of the remote sensing of fuel moisture content.

英文关键词 forest fuel;moisture content;forest fire;prediction model

起始页码 64

截止页码 69

投稿时间 2016/10/31

分类号 S762.2

DOI 10.13348/j.cnki.sjlyyj.2017.0029.y

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