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Primary Pollutants and Air Quality Analysis for Urban Air in China: Evidence from Shanghai

Author

Listed:
  • Ying Yan

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
    School of International Affairs and Public Administration, Shanghai University of Political Science and Law, Shanghai 201701, China)

  • Yuangang Li

    (Dalian University of Foreign Languages, Dalian 116044, China)

  • Maohua Sun

    (School of Foreign Language, Dalian Jiaotong University, Dalian 116028, China)

  • Zhenhua Wu

    (School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433, China)

Abstract

In recent years, China’s urban air pollution has caused widespread concern in the academic world. As one of China’s economic and financial centers and one of the most densely populated cities, Shanghai ranks among the top in China in terms of per capita energy consumption per unit area. Based on the Shanghai Energy Statistical Yearbook and Shanghai Air Pollution Statistics, we have systematically analyzed Shanghai’s atmospheric pollutants from three aspects: Primary pollutants, pollutants changing trends, and fine particulate matter. The comprehensive pollution index analysis method, the grey correlation analysis method, and the Euclid approach degree method are used to evaluate and analyze the air quality in Shanghai. The results have shown that Shanghai’s primary pollutants are PM 2.5 and O 3 , and the most serious air pollution happens during the first half of the year, particularly in the winter. This is because it is the peak period of industrial energy use, and residential heating will also lead to an increase in energy consumption. Furthermore, by studying the particulate pollutants of PM 2.5 and PM 10 , we clearly disclosed the linear correlation between PM 2.5 and PM 10 concentrations in Shanghai which varies seasonally.

Suggested Citation

  • Ying Yan & Yuangang Li & Maohua Sun & Zhenhua Wu, 2019. "Primary Pollutants and Air Quality Analysis for Urban Air in China: Evidence from Shanghai," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:8:p:2319-:d:223778
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    References listed on IDEAS

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    1. Yunpeng Yang & Weixin Yang, 2019. "Does Whistleblowing Work for Air Pollution Control in China? A Study Based on Three-party Evolutionary Game Model under Incomplete Information," Sustainability, MDPI, vol. 11(2), pages 1-20, January.
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    5. Guanghui Yuan & Weixin Yang, 2019. "Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 11(3), pages 1-21, February.
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    Cited by:

    1. Sasikumar Gurumoorthy & Aruna Kumari Kokku & Przemysław Falkowski-Gilski & Parameshachari Bidare Divakarachari, 2023. "Effective Air Quality Prediction Using Reinforced Swarm Optimization and Bi-Directional Gated Recurrent Unit," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    2. Ying Su & Chunyan Lu & Xiaoqing Lin & Lianxiu Zhong & Yibin Gao & Yifan Lei, 2020. "Analysis of Spatio-temporal Characteristics and Driving Forces of Air Quality in the Northern Coastal Comprehensive Economic Zone, China," Sustainability, MDPI, vol. 12(2), pages 1-23, January.

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