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The Influence of Multi-Scale Atmospheric Circulation on Severe Haze Events in Autumn and Winter in Shanghai, China

Author

Listed:
  • Zezheng Zhao

    (College of Meteorology and Oceanology, National University of Defense Technology, Nanjing 211101, China)

  • Hailing Xi

    (Research Institute of Chemical Defence, Beijing 102205, China
    State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China)

  • Ana Russo

    (Instituto Dom Luíz, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, Edifício C1, Piso 1, 1749-016 Lisboa, Portugal)

  • Huadong Du

    (College of Meteorology and Oceanology, National University of Defense Technology, Nanjing 211101, China)

  • Youguo Gong

    (Research Institute of Chemical Defence, Beijing 102205, China
    State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China)

  • Jie Xiang

    (College of Meteorology and Oceanology, National University of Defense Technology, Nanjing 211101, China)

  • Zeming Zhou

    (College of Meteorology and Oceanology, National University of Defense Technology, Nanjing 211101, China)

  • Jiping Zhang

    (Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China)

  • Chengcai Li

    (Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China)

  • Chengjun Zhou

    (College of Meteorology and Oceanology, National University of Defense Technology, Nanjing 211101, China
    Research Institute of Chemical Defence, Beijing 102205, China
    State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China)

Abstract

Severe haze events have many adverse effects on agricultural production and human activity. Haze events are often associated with specific patterns of atmospheric circulation. Therefore, studying the relationship between atmospheric circulation and haze is particularly important for early warning and forecasting of urban haze events. In order to study the relationship between multi-scale atmospheric circulation and severe haze events in autumn and winter in Shanghai, China, we used a T-mode objective classification method to classify autumn and winter atmospheric circulation patterns into six types based on sea level pressure data from 2007 to 2016 in the Shanghai area. For the period between September 2016 and February 2017, we used the Allwine–Whiteman method to classify the local wind in Shanghai into three categories: stagnation, recirculation, and ventilation. By further studying the PM 2.5 concentration distribution, visibility distribution, and other meteorological characteristics of each circulation type (CT) and local wind field type, we found that the Shanghai area is most prone to severe haze when exposed to certain circulation patterns (CT1, CT2, and CT4), mainly associated to the cold air activity and the displacement of the high pressure system relative to Shanghai. We also found that the local wind fields in the Shanghai area are dominated by recirculation and stagnation events. These conclusions were further verified by studying a typical pollution process in Shanghai in November 2016 and the pollutant diffusion path using the HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory model) simulation model.

Suggested Citation

  • Zezheng Zhao & Hailing Xi & Ana Russo & Huadong Du & Youguo Gong & Jie Xiang & Zeming Zhou & Jiping Zhang & Chengcai Li & Chengjun Zhou, 2019. "The Influence of Multi-Scale Atmospheric Circulation on Severe Haze Events in Autumn and Winter in Shanghai, China," Sustainability, MDPI, vol. 11(21), pages 1-18, October.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:5979-:d:280870
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    Citations

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    Cited by:

    1. Boshi Kang & Chong Liu & Chuanhai Miao & Tiening Zhang & Zonghao Li & Chang Hou & Hongshuo Li & Chenrui Li & Yu Zheng & Huizheng Che, 2022. "A Comprehensive Study of a Winter Haze Episode over the Area around Bohai Bay in Northeast China: Insights from Meteorological Elements Observations of Boundary Layer," Sustainability, MDPI, vol. 14(9), pages 1-16, April.
    2. Taihao Wang & Huadong Du & Zezheng Zhao & Zeming Zhou & Ana Russo & Hailing Xi & Jiping Zhang & Chengjun Zhou, 2022. "Prediction of the Impact of Meteorological Conditions on Air Quality during the 2022 Beijing Winter Olympics," Sustainability, MDPI, vol. 14(8), pages 1-13, April.

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