中国地理科学 ›› 2020, Vol. 30 ›› Issue (2): 294-308.doi: 10.1007/s11769-020-1112-5

• 论文 • 上一篇    下一篇

Impact of Urban 3D Morphology on Particulate Matter 2.5 (PM2.5) Concentrations: Case Study of Beijing, China

LUAN Qingzu1,2, JIANG Wei3,4, LIU Shuo5, GUO Hongxiang5,6   

  1. 1. Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China;
    2. Beijing Municipal Climate Center, Beijing 100089, China;
    3. China Institute of Water Resources and Hydropower Research, Beijing 100038, China;
    4. Research Center of Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing 100038, China;
    5. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;
    6. University of Chinese Academy of Sciences, Beijing 100049, China
  • 收稿日期:2019-01-14 出版日期:2020-03-20 发布日期:2020-03-04
  • 通讯作者: JIANG Wei.E-mail:jiangwei@radi.ac.cn E-mail:jiangwei@radi.ac.cn
  • 基金资助:
    Under the auspices of National Key Research and Development Program of China (No. 2016YFB0502504), Beijing Excellent Youth Talent Program (No. 2015400018760G294), National Natural Science Foundation of China (No. 41201443, 41001267)

Impact of Urban 3D Morphology on Particulate Matter 2.5 (PM2.5) Concentrations: Case Study of Beijing, China

LUAN Qingzu1,2, JIANG Wei3,4, LIU Shuo5, GUO Hongxiang5,6   

  1. 1. Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China;
    2. Beijing Municipal Climate Center, Beijing 100089, China;
    3. China Institute of Water Resources and Hydropower Research, Beijing 100038, China;
    4. Research Center of Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing 100038, China;
    5. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;
    6. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2019-01-14 Online:2020-03-20 Published:2020-03-04
  • Contact: JIANG Wei.E-mail:jiangwei@radi.ac.cn E-mail:jiangwei@radi.ac.cn
  • Supported by:
    Under the auspices of National Key Research and Development Program of China (No. 2016YFB0502504), Beijing Excellent Youth Talent Program (No. 2015400018760G294), National Natural Science Foundation of China (No. 41201443, 41001267)

摘要: Urban particulate matter 2.5 (PM2.5) pollution and public health are closely related, and concerns regarding PM2.5 are widespread. Of the underlying factors, the urban morphology is the most manageable. Therefore, investigations of the impact of urban three-dimensional (3D) morphology on PM2.5 concentration have important scientific significance. In this paper, 39 PM2.5 monitoring sites of Beijing in China were selected with PM2.5 automatic monitoring data that were collected in 2013. This data set was used to analyze the impacts of the meteorological condition and public transportation on PM2.5 concentrations. Based on the elimination of the meteorological conditions and public transportation factors, the relationships between urban 3D morphology and PM2.5 concentrations are highlighted. Ten urban 3D morphology indices were established to explore the spatial-temporal correlations between the indices and PM2.5 concentrations and analyze the impact of urban 3D morphology on the PM2.5 concentrations. Results demonstrated that road length density (RLD), road area density (RAD), construction area density (CAD), construction height density (CHD), construction volume density (CVD), construction otherness (CO), and vegetation area density (VAD) have positive impacts on the PM2.5 concentrations, whereas water area density (WAD), water fragmentation (WF), and vegetation fragmentation (VF) (except for the 500 m buffer) have negative impacts on the PM2.5 concentrations. Moreover, the correlations between the morphology indices and PM2.5 concentrations varied with the buffer scale. The findings could lay a foundation for the high-precision spatial-temporal modelling of PM2.5 concentrations and the scientific planning of urban 3D spaces by authorities responsible for controlling PM2.5 concentrations.

关键词: urban three-dimensional (3D) morphology, particulate matter 2.5 (PM2.5), air pollution, urban planning, Beijing, China

Abstract: Urban particulate matter 2.5 (PM2.5) pollution and public health are closely related, and concerns regarding PM2.5 are widespread. Of the underlying factors, the urban morphology is the most manageable. Therefore, investigations of the impact of urban three-dimensional (3D) morphology on PM2.5 concentration have important scientific significance. In this paper, 39 PM2.5 monitoring sites of Beijing in China were selected with PM2.5 automatic monitoring data that were collected in 2013. This data set was used to analyze the impacts of the meteorological condition and public transportation on PM2.5 concentrations. Based on the elimination of the meteorological conditions and public transportation factors, the relationships between urban 3D morphology and PM2.5 concentrations are highlighted. Ten urban 3D morphology indices were established to explore the spatial-temporal correlations between the indices and PM2.5 concentrations and analyze the impact of urban 3D morphology on the PM2.5 concentrations. Results demonstrated that road length density (RLD), road area density (RAD), construction area density (CAD), construction height density (CHD), construction volume density (CVD), construction otherness (CO), and vegetation area density (VAD) have positive impacts on the PM2.5 concentrations, whereas water area density (WAD), water fragmentation (WF), and vegetation fragmentation (VF) (except for the 500 m buffer) have negative impacts on the PM2.5 concentrations. Moreover, the correlations between the morphology indices and PM2.5 concentrations varied with the buffer scale. The findings could lay a foundation for the high-precision spatial-temporal modelling of PM2.5 concentrations and the scientific planning of urban 3D spaces by authorities responsible for controlling PM2.5 concentrations.

Key words: urban three-dimensional (3D) morphology, particulate matter 2.5 (PM2.5), air pollution, urban planning, Beijing, China