上海市雾霾风险差异的空间统计分析

摘要

文中以上海市17个区、县为研究区域，对2015年四个季度的各区、县的区域降尘量和PM2．5季均浓度两项指标进行属性数据处理，运用Geoda软件对上海市雾霾风险进行空间差异研究，揭示了上海市雾霾风险的空间自相关特征。研究结果表明：区域降尘量和PM2．5季均浓度四个季度都存在显著的全局空间相关性，区域聚集差异明显；Moran 散点图位于第一、三象限居多，区域降尘量LL型较多，PM2．5季均浓度HH型较多，空间分布不均；雾霾风险空间分布呈西南－中部高聚集特征。%In this paper,using 17 districts and counties in Shanghai as the study area,the amount of area dust and PM2.5 season average concentration's data of the four quarters of 2015 districts and counties are processed,and studing space difference for the haze risk of Shanghai by using Geoda software,which reveals the spatial autocorrelation characteristic of fog haze risk in Shanghai.The results show that the regional heavy concentration of PM2.5 season average concentration all four quarters are significant global spatial correlation,gathering regional differences;Moran scatter plot is located in the first,three quadrants,the amount of area dust deserves LL type is more,PM2.5 season average concentration deserves all HH type is more,that shows the differences of space distribution;Haze risk gathered spatial distribution in the southwest -central high characteristics.