Abstract

This paper analyzes the air quality monitoring data of Qingyang, Tianshui and Pingliang in northwestern China in 2015 by time series analysis. The research results are as follows: (1) the concentrations of PM2.5, PM10 and SO2 in the three cities began to decline in March, reached a minimum in September before rising gradually; (2) concentrations of PM2.5, PM10 and SO2 in the three cities were low in summer and autumn, but high in winter and spring; (3) the coefficient of correlation among PM2.5, PM10 and SO2 in the three cities was greater than 0.589, indicating a strong correlation.

Highlights

  • China has experienced rapid industrialization and urbanization with the development of technology and economy since the reform and opening-up

  • The results showed that concentrations of SO2, PM10 and NO2 in Shenzhen presented an overall downward trend from 2006 to 2016 and that the air quality had improved significantly year by year but there was still a big gap from air quality standards of developed countries

  • The evaluation criteria used in this study are from the Ambient Air Quality Standard (BG3095-2012)[9]

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Summary

Introduction

China has experienced rapid industrialization and urbanization with the development of technology and economy since the reform and opening-up. Mu et al [7] studied a nationwide large-scale smog incident in China in January 2013 and estimated that the incident caused about RMB 23 billion direct economic losses to traffic and health based on the publicly reported data. Liao et al [8] studied the variation trend of air pollutant concentration in Shenzhen from 2006 to 2016. Related studies in northwestern China focus on provincial capital cities. This study analyzes and evaluates the air quality status of the three cities in 2015 and analyzes the correlation of cities and pollutants with the multiple regression method with a view to provide data support for air pollution prevention and control decision-making and comprehensive crossregional management in third- and fourth-tier cities in under-developed regions in northwestern China

Research method
Correlations between air pollutants in different cities
Time series analysis of air quality
Advantages and limitations
Conclusion
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