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机构地区:[1]中南林业科技大学理学院,湖南长沙410004
出 处:《中南林业科技大学学报》2015年第9期35-38,共4页Journal of Central South University of Forestry & Technology
基 金:广州市林业和园林局重大项目:广州数字林业及大树名木保护系统建设项目(GZIT2010-ZB0533)
摘 要:根据全国森林火险区划等级行业标准LY/T 1063-2008,选取优势树种燃烧级别、坡度、生物量、小班距离林区公路的距离、防火期月平均降水量、防火期月平均气温和防火期月平均风速等7个火险因子,建立了森林火险区划指标体系,以广州市梳脑林场208个小班为例,利用可变模糊集方法进行了森林火险区划。结果表明:广州市梳脑林场低火险小班有106个,中火险小班73个,高火险小班29个。本研究为进行森林火险区划提供了一种新的方法。According to the Industry Standard LY/T 1063-2008 of China National Forest Fire Danger Division Grade, by selecting seven ifre factors such as dominant tree species combustion levels, slope, biomass, distance from sub-compartment to forest roads, average monthly precipitation, monthly mean temperature and average wind speed in forestifre prevention periods, the forestifre danger division index system was set up. By taking 208 sub-compartments of Guangzhou Shunao Forest Farm as the examples, and using the method of variable fuzzy sets, the forestifre danger division for the from was carried out. The results show that there are 106 lowifre danger sub-compartments, 73 middleifre danger sub-compartments and 29 highifre danger sub-compartments. The study provides a new method for forestifre danger division.
分 类 号:S762.31[农业科学—森林保护学]
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