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Fine Particulate Matter Pollution and Hospital Admissions for Respiratory Diseases in Beijing, China

Author

Listed:
  • Qiulin Xiong

    (Urban Environmental Process and Digital Modeling Laboratory, Capital Normal University, Beijing 100048, China)

  • Wenji Zhao

    (Urban Environmental Process and Digital Modeling Laboratory, Capital Normal University, Beijing 100048, China)

  • Zhaoning Gong

    (Urban Environmental Process and Digital Modeling Laboratory, Capital Normal University, Beijing 100048, China
    These authors contributed equally to this work.)

  • Wenhui Zhao

    (Beijing Municipal Environmental Monitoring Center, Beijing 100044, China
    These authors contributed equally to this work.)

  • Tao Tang

    (Department of Geography and Planning, State University of New York College at Buffalo, Buffalo, NY 14222, USA
    These authors contributed equally to this work.)

Abstract

Fine particulate matter has become the premier air pollutant of Beijing in recent years, enormously impacting the environmental quality of the city and the health of the residents. Fine particles with aerodynamic diameters of 0~0.3 μm, 0.3~0.5 μm, and 0.5~1.0 μm, from the yeasr 2007 to 2012, were monitored, and the hospital data about respiratory diseases during the same period was gathered and calculated. Then the correlation between respiratory health and fine particles was studied by spatial analysis and grey correlation analysis. The results showed that the aerial fine particulate matter pollution was mainly distributed in the Zizhuyuan sub-district office. There was a certain association between respiratory health and fine particles. Outpatients with respiratory system disease in this study area were mostly located in the southeastern regions (Balizhuang sub-district office, Ganjiakou sub-district office, Wanshoulu sub-district office, and Yongdinglu sub-district office) and east-central regions (Zizhuyuan sub-district office and Shuangyushu sub-district office) of the study area. Correspondingly, PM 1 (particulate matter with aerodynamic diameter smaller than 1.0 um) concentrations in these regions were higher than those in any other regions. Grey correlation analysis results showed that the correlation degree of the fine particle concentration with the number of outpatients is high, and the smaller fine particles had more obvious effects on respiratory system disease than larger particles.

Suggested Citation

  • Qiulin Xiong & Wenji Zhao & Zhaoning Gong & Wenhui Zhao & Tao Tang, 2015. "Fine Particulate Matter Pollution and Hospital Admissions for Respiratory Diseases in Beijing, China," IJERPH, MDPI, vol. 12(9), pages 1-13, September.
  • Handle: RePEc:gam:jijerp:v:12:y:2015:i:9:p:11880-11892:d:56214
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    References listed on IDEAS

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    1. Liu, Yao-sen, 2011. "The Changes of Fiscal Agriculture-Supporting Expenditure and Farmers’ Income Based on Grey Correlation Theory," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 3(03), pages 1-4, March.
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    Cited by:

    1. Yi Liu & Jingjie Sun & Yannong Gou & Xiubin Sun & Xiujun Li & Zhongshang Yuan & Lizhi Kong & Fuzhong Xue, 2018. "A Multicity Analysis of the Short-Term Effects of Air Pollution on the Chronic Obstructive Pulmonary Disease Hospital Admissions in Shandong, China," IJERPH, MDPI, vol. 15(4), pages 1-15, April.
    2. Lisha Luo & Yunquan Zhang & Junfeng Jiang & Hanghang Luan & Chuanhua Yu & Peihong Nan & Bin Luo & Mao You, 2018. "Short-Term Effects of Ambient Air Pollution on Hospitalization for Respiratory Disease in Taiyuan, China: A Time-Series Analysis," IJERPH, MDPI, vol. 15(10), pages 1-14, October.
    3. Cristian Ciobanu & Irina Aura Istrate & Paula Tudor & Gheorghe Voicu, 2021. "Dust Emission Monitoring in Cement Plant Mills: A Case Study in Romania," IJERPH, MDPI, vol. 18(17), pages 1-16, August.
    4. Élida Campos & Carlos Alexandre R. Pereira & Carmen Freire & Ilce F. da Silva, 2021. "Respiratory Hospitalizations and Their Relationship with Air Pollution Sources in the Period of FIFA World Cup and Olympic Games in Rio de Janeiro, Brazil," IJERPH, MDPI, vol. 18(9), pages 1-15, April.

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