Spatial Distribution Characteristics of PM2.5 and O3 in Beijing-Tianjin-Hebei Region Based on Time Series Decomposition

被引：0

作者：

Yao Q. ^{[1
]}

Ding J. ^{[1
]}

Yang X. ^{[1
]}

Cai Z.-Y. ^{[1
]}

Han S.-Q. ^{[1
]}

机构：

[1] CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin Environmental Meteorology Center, Tianjin

来源：

Huanjing Kexue/Environmental Science | 2024年 / 45卷 / 05期

关键词：

Beijing-Tianjin-Hebei Region; ozone（O[!sub]3[!/sub]）; PM[!sub]2.5[!/sub; spatial distribution; time series decomposition;

D O I：

10.13227/j.hjkx.202306169

中图分类号：

学科分类号：

摘要：

Notably，clear spatial differences occur in the distribution of air pollution among cities in the Beijing-Tianjin-Hebei（BTH）Region. Clarifying the concentration distribution of PM2.5 and O3 at different time scales is helpful to formulate scientific and effective pollution prevention and control measures. Here，the concentrations of PM2.5 and O3 were decomposed using a seasonal-trend decomposition procedure based on the loess（STL）method；their long-term，seasonal，and short-term components were obtained；and their temporal and spatial distribution characteristics were studied. The results showed that the decrease in PM2.5 concentration in the BTH Region from 2017 to 2021 was higher than that of O3. There was a positive correlation between PM2.5 and O3 concentrations in spring and summer and a negative correlation in autumn and winter. The short-term component and seasonal component had the greatest contribution to PM2.5 and O3 concentrations，respectively. There were two principal components in the seasonal and short-term components of PM2.5 and the long-term and short-term components of O3，corresponding to the central and southern part of Hebei Province and the northern part of the BTH Region. Sub-regional distribution of PM2.5 and O3 in the BTH Region at different time scales were found. Compared with that in the original series，the long-term component could better reflect the evolution trend of PM2.5 and O3 concentrations，and the standard deviation（SD）of the seasonal component and short-term component could be used to measure the fluctuation in PM2.5 and O3 concentrations in various cities. The SD of the seasonal and short-term components of the PM2.5 concentration in every city in front of Taihang Mountain was higher，and the SD of the short-term component of the O3concentration in Tangshan was the highest. © 2024 Science Press. All rights reserved.

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页码：2487 / 2496

页数：9

共 46 条

[1] Dong Z X，, Ding D, Jiang Y Q，, Et al., Responses of PM2.5 and O3 to emission reduction and meteorology variation and their policy implications［J］, Research of Environmental Sciences, 36, 2, pp. 223-236, (2023)
[2] 环境保护部, pp. 20-22
[3] 生态环境部, pp. 3-16
[4] 生态环境部, pp. 7-13
[5] 生态环境部, pp. 7-15
[6] Wang Z B, Li J X, Liang L W., Spatio-temporal evolution of ozone pollution and its influencing factors in the Beijing-Tianjin-Hebei urban agglomeration［J］, Environmental Pollution, (2020)
[7] Song X H，, Yan L，, Liu W，, Et al., Spatiotemporal distribution characteristics of co-pollution of PM2.5 and ozone over BTH with surrounding area from 2015 to 2021［J］, Environmental Science, 44, 4, pp. 1841-1851, (2023)
[8] Sun J J, Liang M J，, Shi Z H，, Et al., Investigating the PM2.5 mass concentration growth processes during 2013-2016 in Beijing and Shanghai ［J］, Chemosphere, 221, pp. 452-463, (2019)
[9] Zhang X Y，, Xu X D，, Ding Y H，, Et al., The impact of meteorological changes from 2013 to 2017 on PM2.5 mass reduction in key regions in China［J］, Science China Earth Sciences, 62, 12, pp. 1885-1902, (2019)
[10] Qin R J, Zhang J Q, Wang Y Q，, Et al., Study on different time scales of PM2.5 and O3 concentrations in Hebei Province based on KZ filter［J］, Acta Scientiae Circumstantiae, 39, 3, pp. 821-831, (2019)

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