基于格网GIS与最优分割法的呼伦贝尔草原火灾风险预警阈值研究  

Grid GIS and optimal segmentation based early warning of grassland fire disaster risk threshold in Hulunbeier grassland

作　　者：张继权[1] 崔亮[1] 佟志军[1] 刘兴朋[1] 包玉龙[1] 

机构地区：[1]东北师范大学城市与环境科学学院自然灾害研究所,长春130024

出　　处：《系统工程理论与实践》2013年第3期770-775,共6页Systems Engineering-Theory & Practice

基　　金：国家自然科学基金(40871236;41071326);公益性行业(农业)科研专项经费资助(200903041);十一五国家科技支撑计划项目(2007BAC29B04)

摘　　要：本文利用最优分割法对于呼伦贝尔草原火灾风险预警阈值进行了定量的、客观的划分,最优分割方法能很好的对预警阈值进行合理的划分,进而做出科学的预警结果.网格GIS以网格为单位既具有栅格数据的显示形式,又具有矢量数据的属性信息,是将传统意义上的矢量数据详细化.用网格GIS技术结合回归分析对选区的指标进行空间展布使得空间评价尺度更加精确,用最优分割法对1994-2004火灾案例进行最优分割确定预警阈值并划分为蓝色、黄色、橙色、红色警报.In this paper, the threshold of the early warning of grassland fire disaster risk is determined by the optimal segmentation, and it can give a quantitative and objective classification and make a scientific result. GIS grid has both the display form of raster data and vector data＇s attribute information, it is the details of traditional vector data. Grid GIS technology combined was used in the spatial distribution of indicators of the constituency which will make space rating scale more accurate. With the optimal partitioning of the fire cases from 1994 to 2004, early warning thre,shold was identified and was divided into the blue, yellow, orange and red alarm.

关 键 词：格网GIS 最优分割法 草原火灾 风险预警 呼伦贝尔 

分 类 号：X43[环境科学与工程—灾害防治]