The distribution characteristics of PM2.5, alkanol and their correlation with meteorological factors in Xigu district of Lanzhou

Abstract

Abstract: The PM_2.5 data of Xigu district of Lanzhou in 2019 were collected, and the organic components in PM_2.5 were analyzed qualitatively and quantitatively by gas chromatography-mass spectrometry (GC-MS). The distribution characteristics of PM_2.5 and alkanol were mainly discussed. Relationship between PM_2.5 and alkanols distribution and meteorological parameters was assessed by correlation (Pearson) and non-parametric analysis (Spearman) methods, and the applicability of the two methods was compared simultaneously. The results showed that the annual mean concentration of PM_2.5 in 2019 was 51 μg/m³, which was 1.5 times of China’saverage annual air quality standards (Grade Ⅱ,35 μg/m³ ) in which the alkanols in PM_2.5 was accounting for 0.3%. For seasonal trends, both PM_2.5 and alkanols were all decreased in the order of winter>spring>autumn>summer. Pearson and Spearman’s analysis of temperature and relative humidity were consistent, while their calculation results of wind speed were slightly different in terms of significance level, and the statistical results of atmospheric pressure were significantly different.

Key words: PM_2.5, alkanols, distribution characteristics, meteorological factors, correlation, non-parametric

CLC Number:

X513

ZHANG Guo-zhen, LI Dan-dan, YUE Yong-li, LIU Peng-fei. The distribution characteristics of PM_2.5, alkanol and their correlation with meteorological factors in Xigu district of Lanzhou[J]. Journal of Lanzhou University of Technology, 2021, 47(2): 65-71.

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The distribution characteristics of PM_2.5, alkanol and their correlation with meteorological factors in Xigu district of Lanzhou

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