系统仿真学报 ›› 2019, Vol. 31 ›› Issue (3): 403-412.doi: 10.16182/j.issn1004731x.joss.17WJP-006E

• 仿真建模理论与方法 • 上一篇    下一篇

北京重霾期空气污染物、气象和交通的时空特征

胡冬梅1,2, 吴建平1,2,*, 田琨2, 廖律超2,3, 杜怡曼1,2   

  1. 1. 杭州电子科技大学智慧城市研究中心, 浙江 杭州 310018;
    2. 清华大学土木工程系, 北京100084;
    3. 福建工程学院福建省汽车电子与电驱动技术重点实验室, 福建 福州 350108
  • 收稿日期:2016-06-30 发布日期:2019-11-20

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)

摘要: 在空气污染物、气象和道路平均车速的时空特征分析基础上,探讨了临时交通限行措施和气象条件定性分析对空气质量的叠加影响。结果表明,时间上可划分为5个不同污染阶段,空间上表现出自北向南污染加重且空气质量改善由北至南推延的趋势;P3阶段显示交通与气象对空气质量改善的叠加作用;温度高且湿度低时空气质量良好。重污染天气下,临时的交通管制对CO和NO2及时性减排作用显著,对PM2.5有延时削峰作用。

关键词: 时空特征, 污染事件, 空气质量, 气象, 交通管制

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

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