IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i4p628-d138700.html
   My bibliography  Save this article

Temporal and Spatial Variation in, and Population Exposure to, Summertime Ground-Level Ozone in Beijing

Author

Listed:
  • Hui Zhao

    (Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Youfei Zheng

    (Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China
    Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Ting Li

    (Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Li Wei

    (Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Qing Guan

    (Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China)

Abstract

Ground-level ozone pollution in Beijing has been causing concern among the public due to the risks posed to human health. This study analyzed the temporal and spatial distribution of, and investigated population exposure to, ground-level ozone. We analyzed hourly ground-level ozone data from 35 ambient air quality monitoring sites, including urban, suburban, background, and traffic monitoring sites, during the summer in Beijing from 2014 to 2017. The results showed that the four-year mean ozone concentrations for urban, suburban, background, and traffic monitoring sites were 95.1, 99.8, 95.9, and 74.2 μg/m 3 , respectively. A total of 44, 43, 45, and 43 days exceeded the Chinese National Ambient Air Quality Standards (NAAQS) threshold for ground-level ozone in 2014, 2015, 2016, and 2017, respectively. The mean ozone concentration was higher in suburban sites than in urban sites, and the traffic monitoring sites had the lowest concentration. The diurnal variation in ground-level ozone concentration at the four types of monitoring sites displayed a single-peak curve. The peak and valley values occurred at 3:00–4:00 p.m. and 7:00 a.m., respectively. Spatially, ground-level ozone concentrations decreased in gradient from the north to the south. Population exposure levels were calculated based on ground-level ozone concentrations and population data. Approximately 50.38%, 44.85%, and 48.49% of the total population of Beijing were exposed to ground-level ozone concentrations exceeding the Chinese NAAQS threshold in 2014, 2015, and 2016, respectively.

Suggested Citation

  • Hui Zhao & Youfei Zheng & Ting Li & Li Wei & Qing Guan, 2018. "Temporal and Spatial Variation in, and Population Exposure to, Summertime Ground-Level Ozone in Beijing," IJERPH, MDPI, vol. 15(4), pages 1-16, March.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:4:p:628-:d:138700
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/4/628/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/4/628/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chi Zhang, 2017. "Population in China," Europe-Asia Studies, Taylor & Francis Journals, vol. 69(8), pages 1333-1334, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ordoñez, Pablo J., 2020. "Power Plants, Air Pollution, and Health in Colombia," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304284, Agricultural and Applied Economics Association.
    2. Jia Zhang & Xiaoshu Chen & Shiwei Huang & Yi Wang & Wei Lin & Rui Zhou & He Zou, 2018. "Two-minute walk test: Reference equations for healthy adults in China," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-10, August.
    3. Zhongqiang Bai & Juanle Wang & Mingming Wang & Mengxu Gao & Jiulin Sun, 2018. "Accuracy Assessment of Multi-Source Gridded Population Distribution Datasets in China," Sustainability, MDPI, vol. 10(5), pages 1-15, April.
    4. Zhen Wang & Mingzhi Hu & Yu Zhang & Zhuo Chen, 2022. "Housing Security and Settlement Intentions of Migrants in Urban China," IJERPH, MDPI, vol. 19(16), pages 1-16, August.
    5. Yanjun Yang & Rui Xue & Dong Yang, 2020. "Does market segmentation necessarily discourage energy efficiency?," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-19, May.
    6. Yishu, Li, 2019. "A photovoltaic ecosystem: improving atmospheric environment and fighting regional poverty," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 69-79.
    7. Wen Liu & Guosheng Han & Xiangzi Yan & Xuan Zhang & Guangjie Ning & Armigon Ravshanovich Akhmedov & William Cannon Hunter, 2021. "The Impact of Mental Health Status on Health Consumption of the Elderly in China," IJERPH, MDPI, vol. 18(12), pages 1-17, June.
    8. Huimin Du & Jing Song & Si-ming Li, 2021. "‘Peasants are peasants’: Prejudice against displaced villagers in newly-built urban neighbourhoods in China," Urban Studies, Urban Studies Journal Limited, vol. 58(8), pages 1598-1614, June.
    9. Luyao Wang & Hong Fan & Yankun Wang, 2018. "Estimation of consumption potentiality using VIIRS night-time light data," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.
    10. Pengyu Chen & Guanglin He & Xing Zou & Mengge Wang & Fuquan Jia & Huiru Bai & Jida Li & Jian Yu & Yanyan Han, 2018. "Forensic characterization and genetic polymorphisms of 19 X-chromosomal STRs in 1344 Han Chinese individuals and comprehensive population relationship analyses among 20 Chinese groups," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-21, September.
    11. Ling Zhang & Xiaodong Tan, 2021. "Educational Assortative Mating and Health: A Study in Chinese Internal Migrants," IJERPH, MDPI, vol. 18(4), pages 1-14, February.
    12. Bin Du & Ying Wang & Jiaxin He & Wai Li & Xiaohong Chen, 2021. "Spatio-Temporal Characteristics and Obstacle Factors of the Urban-Rural Integration of China’s Shrinking Cities in the Context of Sustainable Development," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    13. Dianxi Wang & Yufeng Zhao, 2021. "A potential new pattern of pathway to adulthood is emerging in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(42), pages 1023-1056.
    14. JIANG, Qijun & FLORKOWSKI, Wojciech Jan, 2021. "Factors Limiting Quality Assurance Program Implementation In Food Manufacturing Companies In Shanghai, China," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 24(1), March.
    15. Jinjing Wu & Shelby Deaton & Boshen Jiao & Zohn Rosen & Peter A Muennig, 2018. "The cost-effectiveness analysis of the New Rural Cooperative Medical Scheme in China," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-13, December.
    16. Xin Lao & Hengyu Gu, 2020. "Unveiling various spatial patterns of determinants of hukou transfer intentions in China: A multi‐scale geographically weighted regression approach," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1860-1876, December.
    17. Youliang Jin & Chen Cheng & Huixiang Zeng, 2020. "Is evil rewarded with evil? The market penalty effect of corporate environmentally irresponsible events," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 846-871, March.
    18. Zhishan Ma & Susu Zhang & Sidong Zhao, 2021. "Study on the Spatial Pattern of Migration Population in Egypt and Its Flow Field Characteristics from the Perspective of “Source-Flow-Sink”," Sustainability, MDPI, vol. 13(1), pages 1-27, January.
    19. Jin Liu & Bingdong Hou & Xiao-Wei Ma & Hua Liao, 2018. "Solid fuel use for cooking and its health effects on the elderly in rural China," CEEP-BIT Working Papers 111, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    20. Jaqueson K. Galimberti, 2020. "Forecasting GDP Growth from Outer Space," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 697-722, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:4:p:628-:d:138700. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.