森林地表可燃物聚类方法的研究与分析  

Cluster Analysis of Forest Surface Fuel

作　　者：李桂君 杜嘉林[2] 冯仲科[1] 

机构地区：[1]北京林业大学林学院,北京100083 [2]黑龙江省林业科学院,哈尔滨150081

出　　处：《森林工程》2017年第6期1-5,共5页Forest Engineering

基　　金：国家自然科学基金(30872038)

摘　　要：掌握森林地表可燃物的载量及分布状况是现代林火管理关键性的工作。本文依据地表可燃物载量测定数据,采用聚类方法对大兴安岭新林区地表可燃物载量进行分类分析,并将系统聚类法中的Ward法引入到载量特性分类研究中,对10个实测林型的地表可燃物载量进行分析研究。结果表明:Ward聚类法可以凝练可燃物类型信息和给出载量变化的形式,即有林地、疏林地、灌丛、其他林地、草地等可燃物类型,反映了大兴安岭新林区地表可燃物载量的特点,说明聚类分析可以估计所有的分类载量。同时,模型的平均绝对误差、预测的标准误差和模型预测的稳定性指数均在允许值内。因此,采用该方法进行分类对森林火灾的预防、林火发生预报、灭火指挥等具有十分重要的现实意义。It is the basic work of modem forest fire management to master the load and distribution of forest surface fuel. Based on the test data of surface fuel load, the clustering method was used to classify the surface fuel load of Xinlin District in Daxing’anling, and the Ward method was introduced for the classification of the load characteristics. The surface fuel loading of 10 measured forest types were analyzed. The results showed that： the Ward can concise fuel types and the load change form, namely the woodland, open woodland, shrub land, other woodland and grassland, which reflected the characteristics of the surface fuel load of Xinlin District in Daxing’anling. It showed that the cluster analysis can estimate all the load classification. And the mean absolute error, the predicted standard error and the stability index of model were in the allowable value. Therefore, this method is of great practical significance for forest fire prevention, forest fire forecast and fire - fighting command.

关 键 词：地表可燃物 载量 聚类分析 

分 类 号：S762[农业科学—森林保护学]