摘要
对凉水国家级自然保护区林火应急路网分析,进行优化选线,使其达到《全国森林防火规划(2016-2025)》2025 年路网密度要求。运用 K-means 聚类算法选取道路节点,在考虑地形等环境因素下,运用 ArcGIS 多因素叠加分析选取整体线路,经过实地考察验证线路可行。建立林区应急道路评价体系。最终提高林区道路密度达到 3.22 m/hm^(2),符合国家 2025 年期望林区道路密度。区域分割指数中的区域面积均值(Sˉ)和区域面积方差(D)分别降低了 45.7%和 94.7%。为凉水保护区应急路网开设提供参考。
Analyze the forest fire emergency road network of Liangshui National Nature Reserve and optimize the route selection to meet the road network density requirements of 2025 in the national forest fire prevention plan(2016-2025). K-means clustering algorithm is used to select road nodes. Considering terrain and other environmental factors, ArcGIS multi factor superposition analysis is used to select the overall line. The line is verified to be feasible through field investigation. Establish an evaluation system for emergency roads in forest areas. Finally,the forest road density will be increased to 3.22 m/hm^(2), which is in line with the national expectation of forest road density in 2025. Regional area mean in regional segmentation index( Sˉ)and regional area variance(D) decreased by 45.7% and 94.7%respectively, which provides a reference for the establishment of emergency road network in Liangshui protection area.
作者
袁铭鞠
卢照林
周远
孙术发
YUAN Ming-ju;LU Zhao-lin;ZHOU Yuan;SUN Shu-fa(College of Engineering and Technology,Northeast Forestry University,Heilongjiang Harbin 150040,China)
出处
《消防科学与技术》
CAS
北大核心
2022年第6期841-846,共6页
Fire Science and Technology
基金
黑龙江省自然基金项目(LH2020C052)。
关键词
林区路网密度
层次分析
K-MEANS聚类
GIS选线
林火应急路网
forest road network density
analytic hierarchy process
K-means clustering
GIS route selection figure
forest fire emergency road network
