Physiochemistry and sources of individual particles in response to intensified controls during the 2022 Winter Olympics in Beijing

被引:2
|
作者
Li, Wenjun [1 ,2 ]
Li, Jinying [1 ,2 ]
Chang, Zhe [1 ,2 ]
Casuccio, Gary S. [3 ]
Gao, Jian [1 ,2 ]
Li, Haisheng [1 ]
机构
[1] Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China
[2] Joint Lab Electron Microscopy Anal Atmospher Parti, Beijing 100012, Peoples R China
[3] RJ Lee Grp Inc, Pittsburgh, PA 15239 USA
基金
中国国家自然科学基金;
关键词
Individual particle analysis; Control measures; Physicochemical properties; Source apportionment; CCSEM; Beijing Winter Olympics; SCANNING-ELECTRON-MICROSCOPY; COARSE PARTICULATE MATTER; AEROSOL; DUST; HETEROGENEITY; CLEVELAND; SAMPLER; IMPACT; IRON; SEM;
D O I
10.1016/j.jenvman.2023.119946
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To investigate the particle sources before, during, and after the 2022 Beijing Winter Olympic and Paralympic (WOP) in Beijing, ambient particles were passively collected from January to March 2022. The physicochemical properties including morphology, size, shape parameters, and elemental compositions were analyzed by the IntelliSEM EPAS (an advanced computer-controlled scanning electron microscopy [CCSEM] system). Using the user-defined classification rules, 37,174 individual particles were automatically classified into 27 major groups and further attributed to seven major sources based on the source-associated characteristics, including mineral dust, secondary aerosol, combustion/industry, carbonaceous particles, salt-related particles, biological particles, and fiber particles. Our results showed that mineral dust (66.5%), combustion/industry (12.6%), and secondary aerosol (6.3%) were the three major sources in a wide size range of 0.2-42.8 mu m. During the Winter Olympic Games period, low emission of anthropogenic particles and favorable meteorological conditions contributed to significantly improved air quality. During the Winter Paralympic Games period, more particles sourced from the dust storm, secondary formed particles, and the adverse meteorological conditions resulted in relatively worse air quality. The secondary aerosol all decreased during the competition period, while increased during the noncompetition period. Sulfate-related particles had explosive growth and further aggravate the pollution degree during the non-competition period, especially under adverse meteorological conditions. These results provide microscopic evidence revealing variations of physicochemical properties and sources in response to the control measures and meteorological conditions.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Net effect of air pollution controls on health risk in the Beijing-Tianjin-Hebei region during the 2022 winter Olympics and Paralympics
    Lin, Changqing
    Louie, Peter K. K.
    Lau, Alexis K. H.
    Fung, Jimmy C. H.
    Yuan, Zibing
    Tao, Minghui
    Zhang, Xuguo
    Hossain, Md. Shakhaoat
    Li, Chengcai
    Lao, Xiang Qian
    JOURNAL OF ENVIRONMENTAL SCIENCES, 2024, 135 : 560 - 569
  • [23] A Smarter and Greener Olympics: Mediatization and Public Reception in the Preparation Stage of the Beijing 2022 Winter Olympics
    Shi, Lin
    Zhang, Liwen
    COMMUNICATION & SPORT, 2022, 10 (05) : 951 - 972
  • [26] The Beijing 2022 Winter Olympics:An opportunity to promote physical activity and winter sports in Chinese youth
    Barbara E.Ainsworth
    James F.Sallis
    Journal of Sport and Health Science, 2022, 11 (01) : 3 - 5
  • [27] Factors Influencing the Online Attention to the 2022 Beijing Olympics and Paralympic Winter Games
    Wang, Mingxu
    Li, Jingwen
    Shi, Pengfei
    JOURNAL OF INTERNET TECHNOLOGY, 2023, 24 (03): : 651 - 658
  • [28] Research on Lidar Network Observation of Aerosol and Pollution in Beijing 2022 Winter Olympics
    Lu, Tong
    Li, Zhigang
    Chen, Yubao
    Bu, Zhichao
    Wang, Xiaopeng
    ATMOSPHERE, 2022, 13 (11)
  • [29] Quantitative evaluation of emission controls on primary and secondary organic aerosol sources during Beijing 2008 Olympics
    Guo, S.
    Hu, M.
    Guo, Q.
    Zhang, X.
    Schauer, J. J.
    Zhang, R.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2013, 13 (16) : 8303 - 8314
  • [30] Mechanism Design and Motion Planning of a Hexapod Curling Robot Exhibited During the Beijing 2022 Winter Olympics Games
    Yin, Ke
    Gao, Yue
    Gao, Feng
    Chen, Xianbao
    Zhao, Yue
    Xiao, Yuguang
    Sun, Qiao
    Sun, Jing
    ENGINEERING, 2024, 35 : 15 - 31