ORIGINAL RESEARCH
Variation of Particulate Matter and Its Correlation with Other Air Pollutants in Xi`an, China
Xin Zhang 1  
,   Yuesheng Fan 1  
,   Wanqing Yu 1  
,   Huan Wang 1  
,   Xiaoli Zhang 2  
 
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1
School of Building Services Science and Engineering, Xi‘an University of Architecture and Technology, No.13 Yanta Road, Xi‘an, Shaanxi, China, 710055
2
Xi'an Tianhua Architectural Design Co., Ltd, Xi'an, Shaanxi, China, 710000
CORRESPONDING AUTHOR
Xin Zhang   

School of Building Services Science and Engineering, Xi'an University of Architecture and Technology, China
Submission date: 2020-08-28
Final revision date: 2020-10-18
Acceptance date: 2020-11-02
Online publication date: 2021-04-08
Publication date: 2021-06-09
 
Pol. J. Environ. Stud. 2021;30(4):3357–3364
 
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ABSTRACT
In recent years, the high concentration of air pollutants has seriously affected people’s daily life. So, it is important and necessary to know the spreading PM2.5 concentration and its correlation with other pollutants. The data presented in this paper was received from 13 monitoring stations by a typical northern city of Xi’an in China for the whole year of 2017. The concentration distribution of PM2.5 and its variations with the season, month and day were analyzed. Also the average correlation between PM2.5 and CO, SO2, NO2, O3 and PM10 was studied. The results showed concentrating PM2.5 was consistent with the seasonal, monthly and daily trends. The concentration of PM2.5 showed a low in summer and autumn. While the concentration of PM2.5 was higher in spring and winter, and the highest concentration was in winter. The daily variation distribution of PM2.5 showed a double-peak variation characteristic. The concentration of PM2.5 reached a peak between 8:00-9:00 in the morning and 22:00-23:00 in the evening. Particles of Xi’an in atmospheric were mainly fine particles. There was a strong correlation between PM2.5 and CO, SO2, NO2, PM10, but a negative correlation between PM2.5 and O3. A multivariate linear regression model with the pollutant concentration of CO, SO2, NO2 and PM10 was established. This study helps to understand the distribution of PM2.5 and its correlation with other pollutants of Xi’an, and further supplying important support for the targeted controlling approach of fog and haze.
eISSN:2083-5906
ISSN:1230-1485