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

Ying Yan, Yuangang Li, Maohua Sun and Zhenhua Wu
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Ying Yan: Business School, University of Shanghai for Science and Technology, Shanghai 200093, 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

Sustainability, 2019, vol. 11, issue 8, 1-18

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.

Keywords: primary pollutants; air quality; comprehensive pollution index analysis; grey correlation analysis; Euclid approach degree method (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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