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华山松人工林凋落物层细小可燃物含水率预测模型研究
Modeling on Moisture Content Predicting of Surface Fuel of Litter-fall Layer in Pinus armandii Plantations
【摘要】 在防火期2~5级火险天气条件下,在华山松人工林测定了153组林内气温(x1)、相对湿度(x2)、凋落物表面温度(x3)、腐殖质层表面温度(x4)、凋落物层厚度(x5)、可燃物含水率(y)数据,建立了华山松林细小可燃物含水率预测的多元线性回归模型。分析表明,影响华山松林凋落物上层易燃可燃物含水率的因子依次为:x3>x2>x4>x1。应用该模型,可以用易于获取的火环境和可燃物因子来预测可燃物的含水率,为合理开展林火预测预报、计划火烧、营林用火等提供依据。
【Abstract】 The study tested 153 groups of air temperature(x1),relative humidity(x2),surface temperature of litter layer(x3),surface temperature of humic substances layer(x4),thickness of litter-fall layer(x5) and moisture content of surface fine fuel of littler-fall layer(y) in Pinus armandii plantations between 2-5 forest fire danger rating classes in forest fire season in 2008,and the multivariate linear model on moisture content predicting of surface fine fuel of litter was established.The results showed that the main factors influencing the moisture content of surface fine fuel were arranged in order of x3>x2>x4>x1.The model selected factors of forest fire environment and fuel characteristics which could be acquired easily to predict moisture content of fuel,and might provide accordance for forest fire danger forecasting,prescribed burning,forest management burning etc.
【Key words】 Pinus armandii plantations; litter; fine fuel; moisture content; model;
- 【文献出处】 林业资源管理 ,Forest Resources Management , 编辑部邮箱 ,2009年01期
- 【分类号】S762
- 【被引频次】25
- 【下载频次】246