丽水学院学报2016，Vol.38Issue(2)：42-48,7.DOI:10.3969/j.issn.2095-3801.2016.02.008
基于高斯扩散模型PM2.5污染的影响因素分析
An Analysis on Influencing Factors of PM2.5 Pollution Based on Gaussian Diffusion Model
摘要
Abstract
This paper studies the problem of pollution of PM2.5. The air quality monitoring data of Bengbu city of nearly a year were selected,with the air quality index monitoring indicators as a departure point. Using correlation analysis and multiple regression method,it was first found that PM2.5 has a significant positive correlation with PM10、CO、O3、NO2 but has low correlation with SO2、O3、CO. Besides,with the intelligent use of the softwares like SUEFER,EXCLE and so on,the contour map of PM concentration distribution on 9:00,21:00 and 12:00 was drawn and a high concentration of PM2.5 was disclosed in the downtown areas including where the department store is located probably due to the serious automobile exhaust pollution. Finally,through establishing the classical Gauss diffusion model,using the software of MATLAB diffusion map and excluding the effect of humidity,we found that the stronger the wind,the faster PM2.5 diffusion and attenuation will be. In the meanwhile,by improving the model,introducing the effect of humidity factors,it was revealed that in the case of high humidity, the diffusion of PM2.5 is only slightly faster,and that humidity has little effect on PM2.5diffusion.关键词
PM2.5/高斯扩散/空气质量指数/SURFER/MATLABKey words
PM2.5/Gauss diffusion/air quality index/SURFER/MATLAB分类
资源环境引用本文复制引用
何玲,朱家明,林根,蔡经纬..基于高斯扩散模型PM2.5污染的影响因素分析[J].丽水学院学报,2016,38(2):42-48,7.基金项目
国家自然科学基金资助项目（71471001）；安徽省大学生创新创业训练项目 （）
