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Sustainability 2019, 11(8), 2319; https://doi.org/10.3390/su11082319

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

1
Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
2
School of International Affairs and Public Administration, Shanghai University of Political Science and Law, Shanghai 201701, China
3
Dalian University of Foreign Languages, Dalian, Liaoning 116044, China
4
School of Foreign Language, Dalian Jiaotong University, Dalian, Liaoning 116028, China
5
School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433, China
*
Author to whom correspondence should be addressed.
Received: 17 February 2019 / Revised: 11 April 2019 / Accepted: 15 April 2019 / Published: 17 April 2019
PDF [657 KB, uploaded 17 April 2019]

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 PM2.5 and O3, 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 PM2.5 and PM10, we clearly disclosed the linear correlation between PM2.5 and PM10 concentrations in Shanghai which varies seasonally.
Keywords: primary pollutants; air quality; comprehensive pollution index analysis; grey correlation analysis; Euclid approach degree method primary pollutants; air quality; comprehensive pollution index analysis; grey correlation analysis; Euclid approach degree method
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Yan, Y.; Li, Y.; Sun, M.; Wu, Z. Primary Pollutants and Air Quality Analysis for Urban Air in China: Evidence from Shanghai. Sustainability 2019, 11, 2319.

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