IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i4p616-d207459.html
   My bibliography  Save this article

Influence of Boundary Layer Structure and Low-Level Jet on PM 2.5 Pollution in Beijing: A Case Study

Author

Listed:
  • Yucong Miao

    (State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China)

  • Shuhua Liu

    (Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China)

  • Li Sheng

    (Numerical Weather Prediction Center of China Meteorological Administration, Beijing 100081, China)

  • Shunxiang Huang

    (Institute of Chemical Defense, Beijing 102205, China)

  • Jian Li

    (State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China)

Abstract

Beijing experiences frequent PM 2.5 pollution, which is influenced by the planetary boundary layer (PBL) structure/process. Partly due to a lack of appropriate observations, the impacts of PBL on PM 2.5 pollution are not yet fully understood. Combining wind-profiler data, radiosonde measurements, near-surface meteorological observations, aerosol measurements, and three-dimensional simulations, this study investigated the influence of PBL structure and the low-level jet (LLJ) on the pollution in Beijing from 19 to 20 September 2015. The evolution of the LLJ was generally well simulated by the model, although the wind speed within the PBL was overestimated. Being influenced by the large-scale southerly prevailing winds, the aerosols emitted from the southern polluted regions could be easily transported to Beijing, contributing to ~68% of the PM 2.5 measured in Beijing on 20 September. The relative contribution of external transport of PM 2.5 to Beijing was high in the afternoon (≥80%), which was related to the strong southerly PBL winds and the presence of thermally-induced upslope winds. On 20 September, the LLJ in Beijing demonstrated a prominent diurnal variation, which was predominant in the morning and after sunset. The occurrence of the LLJ could enhance the dilution capacity in Beijing to some extent, which favors the dilution of pollutants at a local scale. This study has important implications for better understanding the complexity of PBL structure/process associated with PM 2.5 pollution in Beijing.

Suggested Citation

  • Yucong Miao & Shuhua Liu & Li Sheng & Shunxiang Huang & Jian Li, 2019. "Influence of Boundary Layer Structure and Low-Level Jet on PM 2.5 Pollution in Beijing: A Case Study," IJERPH, MDPI, vol. 16(4), pages 1-14, February.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:4:p:616-:d:207459
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/4/616/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/4/616/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ru-Jin Huang & Yanlin Zhang & Carlo Bozzetti & Kin-Fai Ho & Jun-Ji Cao & Yongming Han & Kaspar R. Daellenbach & Jay G. Slowik & Stephen M. Platt & Francesco Canonaco & Peter Zotter & Robert Wolf & Sim, 2014. "High secondary aerosol contribution to particulate pollution during haze events in China," Nature, Nature, vol. 514(7521), pages 218-222, October.
    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. Jing Zhang & Wenjian Zhu & Dubin Dong & Yuan Ren & Wenhao Hu & Xinjie Jin & Zhengxuan He & Jian Chen & Xiaoai Jin & Tianhuan Zhou, 2024. "The Influence of Three-Dimensional Building Morphology on PM 2.5 Concentrations in the Yangtze River Delta," Sustainability, MDPI, vol. 16(17), pages 1-17, August.
    2. Shi, Wenxiao & Lin, Chen & Chen, Wei & Hong, Jinglan & Chang, Jingcai & Dong, Yong & Zhang, Yanlu, 2017. "Environmental effect of current desulfurization technology on fly dust emission in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1-9.
    3. Yi Yang & Jie Li & Guobin Zhu & Qiangqiang Yuan, 2019. "Spatio–Temporal Relationship and Evolvement of Socioeconomic Factors and PM 2.5 in China During 1998–2016," IJERPH, MDPI, vol. 16(7), pages 1-24, March.
    4. Zhixiong Tan & Haili Wu & Qingyang Chen & Jiejun Huang, 2024. "Spatiotemporal Analysis of Air Quality and Its Driving Factors in Beijing’s Main Urban Area," Sustainability, MDPI, vol. 16(14), pages 1-18, July.
    5. Yana Jin & Henrik Andersson & Shiqiu Zhang, 2016. "Air Pollution Control Policies in China: A Retrospective and Prospects," IJERPH, MDPI, vol. 13(12), pages 1-22, December.
    6. Lili Guo & Yuting Song & Mengqian Tang & Jinyang Tang & Bright Senyo Dogbe & Mengying Su & Houjian Li, 2022. "Assessing the Relationship among Land Transfer, Fertilizer Usage, and PM 2.5 Pollution: Evidence from Rural China," IJERPH, MDPI, vol. 19(14), pages 1-18, July.
    7. Yu Zhang & Jiayu Wu & Chunyao Zhou & Qingyu Zhang, 2019. "Installation Planning in Regional Thermal Power Industry for Emissions Reduction Based on an Emissions Inventory," IJERPH, MDPI, vol. 16(6), pages 1-13, March.
    8. Hujia Zhao & Ke Gui & Yanjun Ma & Yangfeng Wang & Yaqiang Wang & Hong Wang & Yu Zheng & Lei Li & Lei Zhang & Yuqi Zhang & Huizheng Che & Xiaoye Zhang, 2022. "Multi-Year Variation of Ozone and Particulate Matter in Northeast China Based on the Tracking Air Pollution in China (TAP) Data," IJERPH, MDPI, vol. 19(7), pages 1-23, March.
    9. Ruiqing Ma & Yeyue Zhang & Yini Zhang & Xi Li & Zheng Ji, 2023. "The Relationship between the Transmission of Different SARS-CoV-2 Strains and Air Quality: A Case Study in China," IJERPH, MDPI, vol. 20(3), pages 1-17, January.
    10. Hongfeng Zhang & Lu Huang & Yan Zhu & Hongyun Si & Xu He, 2021. "Does Low-Carbon City Construction Improve Total Factor Productivity? Evidence from a Quasi-Natural Experiment in China," IJERPH, MDPI, vol. 18(22), pages 1-21, November.
    11. Han-Yin Sun & Ci-Wen Luo & Yun-Wei Chiang & Kun-Lin Yeh Yi-Ching Li & Yung-Chung Ho & Shiuan-Shinn Lee & Wen-Ying Chen & Chun-Jung Chen & Yu-Hsiang Kuan, 2021. "Association Between PM 2.5 Exposure Level and Primary Open-Angle Glaucoma in Taiwanese Adults: A Nested Case–control Study," IJERPH, MDPI, vol. 18(4), pages 1-12, February.
    12. Zhang, Dongyang, 2023. "Can environmental monitoring power transition curb corporate greenwashing behavior?," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 199-218.
    13. Ying Zhang & Shouming Chen & Yujia Li & Disney Leite Ramos, 2024. "Does Environmental Protection Law Bring about Greenwashing? Evidence from Heavy-Polluting Firms in China," Sustainability, MDPI, vol. 16(5), pages 1-20, February.
    14. Zhong, Yu-Xiu & Wang, Xin & Xu, Gang & Ning, Xinyu & Zhou, Lin & Tang, Wen & Wang, Ming-Hao & Wang, Tong & Xu, Jun & Jiang, Long & Wang, Yi & Su, Sheng & Hu, Song & Xiang, Jun, 2023. "Investigation on slagging and high-temperature corrosion prevention and control of a 1000 MW ultra supercritical double tangentially fired boiler," Energy, Elsevier, vol. 275(C).
    15. Shr, Yau-Huo & Hsu, Wen & Hwang, Bing-Fang & Jung, Chau-Ren, 2023. "Air quality and risky behaviors on roads," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    16. Jie Yang & Pengfei Liu & Hongquan Song & Changhong Miao & Feng Wang & Yu Xing & Wenjie Wang & Xinyu Liu & Mengxin Zhao, 2021. "Effects of Anthropogenic Emissions from Different Sectors on PM 2.5 Concentrations in Chinese Cities," IJERPH, MDPI, vol. 18(20), pages 1-13, October.
    17. Kun Liu & Xuemin Liu & Zihao Wu, 2024. "Nexus between Corporate Digital Transformation and Green Technological Innovation Performance: The Mediating Role of Optimizing Resource Allocation," Sustainability, MDPI, vol. 16(3), pages 1-21, February.
    18. Diyi Liu & Kun Cheng & Kevin Huang & Hui Ding & Tiantong Xu & Zhenni Chen & Yanqi Sun, 2022. "Visualization and Analysis of Air Pollution and Human Health Based on Cluster Analysis: A Bibliometric Review from 2001 to 2021," IJERPH, MDPI, vol. 19(19), pages 1-15, October.
    19. Eun-Min Cho & Hyung Jin Jeon & Dan Ki Yoon & Si Hyun Park & Hyung Jin Hong & Kil Yong Choi & Heun Woo Cho & Hyo Chang Cheon & Cheol Min Lee, 2019. "Reliability of Low-Cost, Sensor-Based Fine Dust Measurement Devices for Monitoring Atmospheric Particulate Matter Concentrations," IJERPH, MDPI, vol. 16(8), pages 1-10, April.
    20. Qi Chen & Ruqian Miao & Guannan Geng & Manish Shrivastava & Xu Dao & Bingye Xu & Jiaqi Sun & Xian Zhang & Mingyuan Liu & Guigang Tang & Qian Tang & Hanwen Hu & Ru-Jin Huang & Hao Wang & Yan Zheng & Yu, 2024. "Widespread 2013-2020 decreases and reduction challenges of organic aerosol in China," Nature Communications, Nature, vol. 15(1), pages 1-8, December.

    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:16:y:2019:i:4:p:616-:d:207459. 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.