高斯烟雨扩散模型在空气中PM2.5实际问题的应用  

Application of Gauss Misty Rain Diffusion Model of PM2.5 Practical Problems in Air

作　　者：董赫[1] 翟哲[1] 李夺[2] 李伟凯[1] 

机构地区：[1]黑龙江八一农垦大学信息技术学院,大庆163319 [2]黑龙江八一农垦大学工程学院

出　　处：《黑龙江八一农垦大学学报》2014年第3期69-73,118,共6页journal of heilongjiang bayi agricultural university

摘　　要：通过建立高斯烟雨扩散模型并采用多元线性回归等数学方法,进一步探索产生雾霾的主要因素PM2.5的形成、扩散过程以及与风速之间的关系。以武汉市和西安市2013年AQI监测数据为基础,得到空气中PM2.5与其他污染物之间的相关性。预测了西安市某一区域PM2.5浓度骤增并持续数小时的情况下,污染严重和相对安全的区域。为研究空气中PM2.5成因、监测和治理提供了一定的理论依据。Through establishing gauss misty rain diffusion model and adopting mathematical methods of multiple linear regression,the relations of the formation and diffusion process of PM2.5 with wind speed were explored further. Basing on AQI monitoring data of Wuhan City and Xi’an City in 2013,the correlation between PM2.5 and other pollutants was obtained,and the seriously polluted and relatively secure area were predicted under the circumstances of the sharp increase in PM2.5 content for several hours in certain region of Xi’an. The article could provide certain theoretical basis to research the cause,monitoring and governance of PM2.5 in air.

关 键 词：PM2 5 多元线性回归 高斯烟雨扩散模型 PM2 5 

分 类 号：X502[环境科学与工程—环境工程]