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Comparison of Hourly PM 2.5 Observations Between Urban and Suburban Areas in Beijing, China

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  • Ling Yao

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, No.11A, Datun Road, Chaoyang, Beijing 100101, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210046, China)

  • Ning Lu

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, No.11A, Datun Road, Chaoyang, Beijing 100101, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210046, China)

  • Xiafang Yue

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, No.11A, Datun Road, Chaoyang, Beijing 100101, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210046, China)

  • Jia Du

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, No.11A, Datun Road, Chaoyang, Beijing 100101, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210046, China)

  • Cundong Yang

    (College of History and Tourism Culture, Inner Mongolia University, Hohhot 010021, China)

Abstract

Hourly PM 2.5 observations collected at 12 stations over a 1-year period are used to identify variations between urban and suburban areas in Beijing. The data demonstrates a unique monthly variation form, as compared with other major cities. Urban areas suffer higher PM 2.5 concentration (about 92 μg/m 3 ) than suburban areas (about 77 μg/m 3 ), and the average PM 2.5 concentration in cold season (about 105 μg/m 3 ) is higher than warm season (about 78 μg/m 3 ). Hourly PM 2.5 observations exhibit distinct seasonal, diurnal and day-of-week variations. The diurnal variation of PM 2.5 is observed with higher concentration at night and lower value at daytime, and the cumulative growth of nighttime (22:00 p.m. in winter) PM 2.5 concentration maybe due to the atmospheric stability. Moreover, annual average PM 2.5 concentrations are about 18 μg/m 3 higher on weekends than weekdays, consistent with driving restrictions on weekdays. Additionally, the nighttime peak in weekdays (21:00 p.m.) is one hour later than weekends (20:00 p.m.) which also shows the evidence of human activity. These observed facts indicate that the variations of PM 2.5 concentration between urban and suburban areas in Beijing are influenced by complex meteorological factors and human activities.

Suggested Citation

  • Ling Yao & Ning Lu & Xiafang Yue & Jia Du & Cundong Yang, 2015. "Comparison of Hourly PM 2.5 Observations Between Urban and Suburban Areas in Beijing, China," IJERPH, MDPI, vol. 12(10), pages 1-13, September.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:10:p:12264-12276:d:56525
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    Citations

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    Cited by:

    1. Wei Xue & Qingming Zhan & Qi Zhang & Zhonghua Wu, 2019. "Spatiotemporal Variations of Particulate and Gaseous Pollutants and Their Relations to Meteorological Parameters: The Case of Xiangyang, China," IJERPH, MDPI, vol. 17(1), pages 1-23, December.
    2. Akmaral Agibayeva & Rustem Khalikhan & Mert Guney & Ferhat Karaca & Aisulu Torezhan & Egemen Avcu, 2022. "An Air Quality Modeling and Disability-Adjusted Life Years (DALY) Risk Assessment Case Study: Comparing Statistical and Machine Learning Approaches for PM 2.5 Forecasting," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    3. Ling Yao & Changchun Huang & Wenlong Jing & Xiafang Yue & Yuyue Xu, 2018. "Quantitative Assessment of Relationship between Population Exposure to PM 2.5 and Socio-Economic Factors at Multiple Spatial Scales over Mainland China," IJERPH, MDPI, vol. 15(9), pages 1-13, September.
    4. Yang Li & Jun Tao & Leiming Zhang & Xiaofang Jia & Yunfei Wu, 2016. "High Contributions of Secondary Inorganic Aerosols to PM 2.5 under Polluted Levels at a Regional Station in Northern China," IJERPH, MDPI, vol. 13(12), pages 1-15, December.

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