基于高斯扩散及主成分京津冀空气污染的研究  

Study the Gauss diffusion and principal component of air pollution in Beijing,Tianjin and Hebei

作　　者：范孝莉 郑玉棒 方佳佳[1] 朱家明[1] 

机构地区：[1]安徽财经大学统计与应用数学学院,安徽蚌埠233000

出　　处：《商丘师范学院学报》2016年第6期12-17,共6页Journal of Shangqiu Normal University

基　　金：国家自然科学基金资助项目(11301001);国家级大学生创新项目(201510378050)

摘　　要：针对京津冀地区空气质量的污染,通过查找大量数据,综合运用多元统计之正交因子分析和高斯扩散模型,分别构建正交因子分析、单污染源空气污染扩散模型,研究影响京津冀地区空气质量的主要污染源的性质和种类与河北境内某一工厂周围空气污染的动态影响规律.使用SPSS19.0和MATLAB7.0软件求解并得到相关结果,运用图表使结果清晰可见,最后对模型进行简要评价并推广.Against the pollution of the air quality in Beijing- Tianjin- Hebei region,by looking up a large amount of data,the integrated use of orthogonal factor analysis and Gaussian diffusion model of multivariate statistics,constructing orthogonal factor analysis and single pollution source air pollution diffusion model respectively,studying on the nature of the main sources of air quality in Beijing- Tianjin- Hebei region and varieties and the dynamic effect rules of ambient air pollution of a factory in Hebei. Using SPSS19. 0 and MATLAB7. 0 software to solve and get the relevant results,the use of charts to make the results clearly visible,and finally a brief evaluation and promotion of the model.

关 键 词：空气污染 主成分分析法 高斯扩散 MATLAB7.0 SPSS19.0 

分 类 号：X513[环境科学与工程—环境工程]