Local and regional contributions to PM<sub>2.5</sub> in the Beijing 2022 Winter Olympics infrastructure areas during haze episodes

doi:10.1007/s11783-021-1434-2

Front. Environ. Sci. Eng.

2021, Vol. 15

Issue (6) : 140 https://doi.org/10.1007/s11783-021-1434-2

RESEARCH ARTICLE

Local and regional contributions to PM_2.5 in the Beijing 2022 Winter Olympics infrastructure areas during haze episodes

Yue Wang, Mengshuang Shi, Zhaofeng Lv, Huan Liu(

), Kebin He

State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, International Joint Laboratory on Low Carbon Clean Energy Innovation, School of the Environment, Tsinghua University, Beijing 100084, China

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Abstract

• Regional transportation contributed more than local emissions during haze episodes.

• Short-range regional transportation contributed the most to the PM_2.5 in the OIAs.

• Low wind speeds and low PBLHs led to higher local contributions to Beijing.

The 2022 Winter Olympics is scheduled to take place in Beijing and Zhangjiakou, which were defined as OIAs (Olympic infrastructure areas) in this study. This study presents the characteristics and source apportionment of PM_2.5 in the OIAs, China. The entire region of mainland China, except for the OIAs, was divided into 9 source regions, including four regions in the BTH(Beijing-Tianjin-Hebei) region, the four provinces surrounding the BTH and the remaining areas. Using CAMx/PSAT, the contributions of the nine regions to the PM_2.5 concentration in the OIAs were simulated spatially and temporally. The simulated source apportionment results showed that the contribution of regional transportation was 48.78%, and when PM_2.5 concentration was larger than 75 μg/m³ central Hebei was the largest contributor with a contribution of 19.18%, followed by Tianjin, northern Hebei, Shanxi, Inner Mongolia, Shandong, southern Hebei, Henan and Liaoning. Furthermore, the contribution from neighboring regions of the OIAs was 47.12%, which was nearly twice that of long-range transportation. Haze episodes were analyzed, and the results presented the importance of regional transportation during severe PM_2.5 pollution periods. It was also found that they were associated with differences in pollution sources between Zhangjiakou and Beijing. Regional transportation was the main factor affecting PM_2.5 pollution in Zhangjiakou due to its low local emissions. Stagnant weather with a low planetary boundary layer height and a low wind velocity prevented the local emitted pollutants in Beijing from being transported outside, and as a result, local emissions constituted a larger contribution in Beijing.

Keywords 2022 Winter Olympics PM_2.5 Source apportionment

Corresponding Author(s): Huan Liu

Issue Date: 14 May 2021

Cite this article:

Yue Wang,Mengshuang Shi,Zhaofeng Lv, et al. Local and regional contributions to PM_2.5 in the Beijing 2022 Winter Olympics infrastructure areas during haze episodes[J]. Front. Environ. Sci. Eng., 2021, 15(6): 140.

URL:

https://academic.hep.com.cn/fese/EN/10.1007/s11783-021-1434-2
https://academic.hep.com.cn/fese/EN/Y2021/V15/I6/140

Tab.1 Evaluation of CAMx model performance

Fig.1 Comparison between the simulated and observed hourly concentration of PM_2.5.

Fig.2 Monthly average concentration of PM_2.5 for January, 2015.

Fig.3 Temporal variation of (a) contributions and (b) contribution percentage of different regions to PM_2.5 concentration in OIA during January, 2015.

Fig.4 Average contribution percentage of different source regions under different PM_2.5 concentration level.

Fig.5 Hourly variations in the proportion of PM_2.5components.

Fig.6 Daily variations in the contribution of regional transportation to different PM_2.5 components (the sources emitted outside research area means regional transport-related contribution.TR-: regional transport-related contributions).

Tab.2 Contribution of regional transportation to PM_2.5 and its components under different PM_2.5 concentration level

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