我国森林死可燃物含水率与气象和土壤因子关系模型研究  

Research on Relational Models of Moisture Content of Dead Forest Fuel with Meteorological Factors and Soil Factors in China

作　　者：李海洋[1] 胡海清[1] 孙龙[1] 

机构地区：[1]东北林业大学林学院,哈尔滨150040

出　　处：《森林工程》2016年第3期1-6,共6页Forest Engineering

基　　金：林业公益性行业科研专项(201404402)

摘　　要：死可燃物含水率是森林火灾发生及蔓延的主要影响因子,也是林火预测预报的关键参数之一。死可燃物含水率预测方法中气象要素回归法相对简单,预测结果比较准确且适用性强。本文通过分析国内近年来死可燃物含水率预测模型,对各种气象因子对可燃物含水率的影响及其响应进行综合评述。结果表明:1气象要素回归法在国内应用比较广泛,但研究比较分散,主要集中在黑龙江省和云南省;2针对研究区域可燃物含水率预测比较准确,但受制于地形和林型条件难以在尺度上进行更大范围的应用和推广;3前期气象因子和土壤因子是影响可燃物含水率变化的重要因素,结合前期气象因子和土壤因子模型预测效果较好。The moisture content of dead fuel is the main influence factor of forest fire occurrence and spread,and the key parameter of forest fire prognosis and prediction. The method of meteorological element regression is relatively simple,and the predict result is very accurate and applicable. The effects of a variety of meteorological factors on dead fuel moisture content and the responses were comprehensively reviewed by analyzing the prediction models in recent years in this paper. The results showed that： 1 the method of meteorological element regression was widely applied in China,but the research regions were decentralized,mainly in Heilongjiang and Yunnan province. 2 The prediction of fuel moisture was relatively accurate in the research area,but can＇t be applied and promoted in wider scale due to the restriction of complex topographies and different forest types. 3 Early meteorological factors and soil were the important factors for the varieties of dead fuel moisture. The prediction models with these factors had better prediction results.

关 键 词：死可燃物含水率 气象因子 土壤因子 预测模型 森林火灾 

分 类 号：S762.1[农业科学—森林保护学]