Journal of System Simulation ›› 2019, Vol. 31 ›› Issue (3): 403-412.doi: 10.16182/j.issn1004731x.joss.17WJP-006E

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Spatiotemporal Characteristics of Air Pollutants, Meteorology and Traffic during Heavy Haze Pollution in Beijing

Hu Dongmei1,2, Wu Jianping1,2,*, Tian Kun2, Liao Lüchao2,3, Du Yiman1,2   

  1. 1. Smart-city research center of Hangzhou Dianzi University, Hangzhou 310018, China;
    2. Department of Civil Engineering, Tsinghua University, Beijing 100084, China;
    3. Fujian Key Laboratory for Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou 350108, China
  • Received:2016-06-30 Published:2019-11-20
  • About author:Hu Dongmei (1986-), female, Shandong, Ph.D. candidate, Research direction: traffic environment modeling; Wu Jianping (corresponding author, 1957-), male, Zhejiang, Ph.D., professor, Research direction: traffic modeling.
  • Supported by:
    National Natural Science Foundation of China (61304199,41471333)

Abstract: We analyzed the spatiotemporal characteristics of air pollutants, meteorology, and average road speed during a heavy haze pollution period; and explored the combined impacts of temporary traffic restrictions and meteorological conditions on air quality. The results showed that five pollution stages were identified with remarkable variation patterns based on the evolution of PM2.5 concentration and weather conditions; and it also showed that the southern sites experienced heavier pollution than the northern sites. Stage P3 exhibited a combined effect of meteorology and traffic restrictions with delayed functions. A good AQI was more likely with higher temperature and lower humidity. Traffic restrictions played visible effects on traffic-related pollutants, like CO and NO2, and delayed peak-clipping effect on PM2.5.

Key words: spatiotemporal characteristics, pollution event, air quality, meteorology, traffic restrictions

CLC Number: