蚌埠市PM2.5影响因素及分布演变规律计量分析  

Quantitative analysis of Bengbu PM2.5 affecting factors and distribution evolution

作　　者：潘婷婷[1] 朱家明[2] 滕磊[2] 洪玲[2] 

机构地区：[1]安徽财经大学金融学院,安徽蚌埠233030 [2]安徽财经大学统计与应用数学学院,安徽蚌埠233030

出　　处：《上饶师范学院学报》2016年第3期17-24,共8页Journal of Shangrao Normal University

基　　金：国家自然科学项目(11301001);安徽财经大学教研项目(acjyzd201429)

摘　　要：针对蚌埠市空气中PM2.5的影响因素及分布演变规律,综合使用统计分析、定量分析、相关分析、趋势分析等方法,分别构建多元线性回归、时空分布、高斯烟羽扩散等模型,使用SPSS、EVIEWS、EXCEL等软件编程求解,研究得到PM2.5与NO2、O浓度大小成负相关、与PM10、CO、NO2浓度成正相关,PM2.5的扩散范围越广浓度越小、湿度越大PM2.5的扩散范围越小、PM2.5与温度相关性不大等结论。For Bengbu air Factors evolution and distribution of PM2.5, Integrated use of statistical analysis, quantita- tive analysis, correlation analysis, trend analysis and other methods, respectively constructed multiple linear regres- sion, spatial and temporal distribution, Gaussian plume diffusion model, use SPSS, EVIEWS, EXCEL software pro- gramming to solve, study was PM2.5 and NO2. O3 concentration was negatively correlated with the size, PM2.5andPM10.CO.NO2 concentrations were positively correlated size, the more wide diffusion range PM2.5 con- centrations less, the greater moisture, the smaller diffusion range of PM2.5, PM2.5had little correlation with temperature and other conclusions.

关 键 词：PM2.5 回归分析 高斯烟羽模型 EVIEWS SPSS 

分 类 号：X513[环境科学与工程—环境工程]