基于GIS的空气污染空间变异性模型及其应用  

Spatial variability model of air pollution and its application based on GIS

作　　者：陈静[1] Chen Jing(Wuxi City College of Vocational Technology,Wuxi 214153,China)

机构地区：[1]无锡城市职业技术学院

出　　处：《山西建筑》2020年第1期3-5,共3页Shanxi Architecture

摘　　要：基于GIS的变异性分析是空间统计分析的重要工具,可以为空间样本数据创建平滑完美的内插图像,据此建立空间变异性模型,采用普通克里金算法插值,以江浙沪部分城市为例,针对16个城市的PM2.5月均浓度数据,通过半方差函数计算,分析了该地区PM2.5月均浓度的空间变异性。并结合人为源VOC S排放污染源与当地的风向、风速和降雨量数据,分析了各指标对空气污染指数空间分布的影响。According to 16 cities’data of average mass concentration per month of PM2.5 in Yangtza delta area,spatial variability of PM2.5 distributions was analyzed through the calculation of semivariogram.GIS-based spatial variability is an important tool of geostatistics that can create a perfect and smooth interpolated image for the spatial sample data.Models were constructed based on spatial variability with mathematical fitting techniques,and the maps of PM2.5 distributions were worked out with kriging techniques for interpolating surfaces.With the map of anthropogenic VOC S emission sources and the data of wind and precipitation,the influences of those factors on the distribution of PM2.5 were investigated.

关 键 词：空间变异性 空气污染 地统计 VOC S GIS分析 

分 类 号：X508[环境科学与工程—环境工程]