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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。
Forest combustibles are the material basis for forest fires. The change of water cut directly affects the ease of fire on forest combustibles. Efficient and accurate simulation of the dynamic changes of moisture content of forest combustibles is of great significance in predicting forest fire or forest fire behavior. In this paper, the research progress of moisture content of forest combustibles and its prediction model are described from the influence factors, theoretical algorithms and prediction models of combustibles moisture content, and the problems existing in the research are pointed out. The prospect of combustibles moisture content is put forward: Positioning observation research, optimization of measurement methods and strengthening of field sampling and laboratory test standardization work, strengthening the research of space-time heterogeneity of combustibles moisture content, strengthening the study of extrapolation of observation scale and constructing remote sensing inversion model of moisture content.