节点文献

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

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 李世友舒清态马爱丽张桥蓉刘燕王祥琴

【Author】 LI Shiyou1,2,SHU Qingtai1,MA Aili1,ZHANG Qiaorong1,LIU Yan,WANG XiangQin1 (1.Faculty of Conservation Biology,Southwest Forestry College,Kunming 650224,China;2.Key Laboratory of Forest Disaster Warning and Control in Yunnan Higher Education Institutions,Kunming 650224,China)

【机构】 西南林学院云南省高校森林灾害预警与控制重点实验室

【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.

【基金】 昆明市科技局重点项目(06H114135);云南省青年基金项目(2003C0021Q)
  • 【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
节点文献中: 

本文链接的文献网络图示:

本文的引文网络