Pollution characteristics and influencing factors of atmospheric particulate matter (PM2.5) in Chang-Zhu-Tan area

2017 3rd International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Zhang, Yong^1,2 ; Jiang, Wulin^1

School of Resource, Environmental and Safety Engineering, Hunan University of Science and Technology, Xiangtan, China^1

College of Resources and Environmental Sciences, Hunan Normal University, Changsha, China^2

关键词: Atmospheric particulate matter;    Correlation analysis;    Meteorological factors;    PM2.5 concentration;    Positive correlations;    Relative air humidities;    Soil temperature;    Variation characteristics;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/108/4/042047/pdf
DOI  :  10.1088/1755-1315/108/4/042047

来源: IOP

【 摘 要 】

Using the same time data of PM2.5 concentration and meteorology from May 1st to May 31st in 2013 in Chang-Zhu-Tan area. This paper analyses the variation characteristics of PM2.5 concentration and the correlations between the variation characteristics and meteorological factors. In view of time, the results showed that the 24-h PM2.5 concentration varied with the two peaks and two valleys styles in Chang-Zhu-Tan area. And the daily PM2.5 concentration tends to the instability and great variation characteristics with the multi-peaks and multi-valleys style. In view of space, PM2.5 concentration values of the three cities from high to low are Zhuzhou>Xiangtan>Changsha. For cities and suburbs, PM2.5 concentration values of central towns are greater than that of the suburbs in Changsha and Xiangtan; however, the PM2.5 concentration values of the central town in Zhuzhou are slightly lower than the suburbs. At the same time, the correlation analysis between PM2.5 concentration and meteorological factors showed that the correlation from high to low was the relative air humidity>soil temperature>air temperature>soil humidity> wind velocity>rainfall. Among the above meteorological factors, wind velocity, rainfall, air temperature, soil temperature and soil humidity are negatively correlated with PM2.5 concentration, but the relationship between relative air humidity and PM2.5 concentration is a positive correlation.