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Estimation of Citywide Air Pollution in Beijing

Author

Listed:
  • Jin-Feng Wang
  • Mao-Gui Hu
  • Cheng-Dong Xu
  • George Christakos
  • Yu Zhao

Abstract

There has been discrepancies between the daily air quality reports of the Beijing municipal government, observations recorded at the U.S. Embassy in Beijing, and Beijing residents’ perceptions of air quality. This study estimates Beijing’s daily area PM2.5 mass concentration by means of a novel technique SPA (Single Point Areal Estimation) that uses data from the single PM2.5 observation station of the U.S Embassy and the 18 PM10 observation stations of the Beijing Municipal Environmental Protection Bureau. The proposed technique accounts for empirical relationships between different types of observations, and generates best linear unbiased pollution estimates (in a statistical sense). The technique extends the daily PM2.5 mass concentrations obtained at a single station (U.S. Embassy) to a citywide scale using physical relations between pollutant concentrations at the embassy PM2.5 monitoring station and at the 18 official PM10 stations that are evenly distributed across the city. Insight about the technique’s spatial estimation accuracy (uncertainty) is gained by means of theoretical considerations and numerical validations involving real data. The technique was used to study citywide PM2.5 pollution during the 423-day period of interest (May 10, 2010 to December 6, 2011). Finally, a freely downloadable software library is provided that performs all relevant calculations of pollution estimation.

Suggested Citation

  • Jin-Feng Wang & Mao-Gui Hu & Cheng-Dong Xu & George Christakos & Yu Zhao, 2013. "Estimation of Citywide Air Pollution in Beijing," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-6, January.
  • Handle: RePEc:plo:pone00:0053400
    DOI: 10.1371/journal.pone.0053400
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    Citations

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    Cited by:

    1. Dongsheng Zhan & Mei-Po Kwan & Wenzhong Zhang & Shaojian Wang & Jianhui Yu, 2017. "Spatiotemporal Variations and Driving Factors of Air Pollution in China," IJERPH, MDPI, vol. 14(12), pages 1-18, December.
    2. Jun Zhang & Xiaodie Yuan, 2021. "COVID-19 Risk Assessment: Contributing to Maintaining Urban Public Health Security and Achieving Sustainable Urban Development," Sustainability, MDPI, vol. 13(8), pages 1-23, April.
    3. An Zhang & Qingwen Qi & Lili Jiang & Fang Zhou & Jinfeng Wang, 2013. "Population Exposure to PM2.5 in the Urban Area of Beijing," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-9, May.
    4. Han, Y. & Li, V. & Lam, J. & Pollitt, M., 2019. "How BLUE is the Sky? Estimating the Air Quality Data in Beijing During the Blue Sky Day Period (2008-2012) by the Bayesian LSTM Approach," Cambridge Working Papers in Economics 1929, Faculty of Economics, University of Cambridge.
    5. You, Siming & Neoh, Koon Gee & Tong, Yen Wah & Dai, Yanjun & Wang, Chi-Hwa, 2017. "Variation of household electricity consumption and potential impact of outdoor PM2.5 concentration: A comparison between Singapore and Shanghai," Applied Energy, Elsevier, vol. 188(C), pages 475-484.
    6. Hongbo Chen & Junhui Wu & Mengying Wang & Siyue Wang & Jiating Wang & Huan Yu & Yonghua Hu & Shaomei Shang, 2021. "Impact of Exposure to Ambient Fine Particulate Matter Pollution on Adults with Knee Osteoarthritis," IJERPH, MDPI, vol. 18(18), pages 1-10, September.
    7. Qiong Li & Juanle Wang & Hongquan Xie & Altansukh Ochir & Davaadorj Davaasuren, 2022. "Applicability of Grassland Production Estimation Using Remote Sensing for the Mongolian Plateau by Comparing Typical Regions in China and Mongolia," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
    8. Man Li & Yao Wu & Yao-Hua Tian & Ya-Ying Cao & Jing Song & Zhe Huang & Xiao-Wen Wang & Yong-Hua Hu, 2018. "Association Between PM 2.5 and Daily Hospital Admissions for Heart Failure: A Time-Series Analysis in Beijing," IJERPH, MDPI, vol. 15(10), pages 1-9, October.

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