摘要
应用灰色系统理论中的灰色关联分析法,选择与抗火性能有关的含水率、粗脂肪含量、燃烧热值、燃烧速度、粗灰分含量、SiO2含量、点着温度、叶挥发油含量为评价因素,对毛栲、竹柏、苦楮、格氏栲、杨梅、闽粤栲、青冈栎、木荷、樟树、马尾松、杉木等11个树种的抗火性能进行定量评价。结果表明:抗火性能最强的是木荷,其次是毛栲,最差的是马尾松和樟树。
Applying grey relational analysis in grey system theory, selecting moisture content, crude fat content, heat of combustion, burning rate, crude ash and caloric value, SiO2 content, igniting temperatures, content of the essential oil as evaluating factors, fire resistance of Castanopsis fordii Hance, Podocarpus nagi Thunb Zollet, Castanopsis sclerophylla , Castanopsis kawakamii , Myrica rubra Sieb. et Zucc, , Castanopsis fissa , Cyclobalanopsis glauca , Schima superba Gardn, Cinnamonum camphora , Pinus massoniana , Cunninghamia lanceolata were quantitatively evaluatd. The results show that the strongest species with fire-resistance is Schima superba Gardn , the second is Castanopsisfordii Hance, and the poorest is Pinus massoniana and Cinnamonum camphora .
出处
《防护林科技》
2007年第5期21-22,58,共3页
Protection Forest Science and Technology
关键词
灰色关联分析
抗火性能
防火林带
grey relational analysis
fire-resistance
firebreak forest belt
