Abstract

Abstract. An intensive aerosol and gases campaign was performed at Shanghai in the Yangtze River Delta region over Eastern China from late March to early June 2009. This study provided a complementary picture of typical haze types and the formation mechanisms in megacities over China by using a synergy of ground-based monitoring, satellite and lidar observations. During the whole study period, several extreme low visibility periods were observed with distinct characteristics, and three typical haze types were identified, i.e. secondary inorganic pollution, dust, and biomass burning. Sulfate, nitrate and ammonium accounted for a major part of PM2.5 mass during the secondary inorganic pollution, and the good correlation between SO2/NOx/CO and PM2.5 indicated that coal burning and vehicle emission were the major sources. Large-scale regions with high AOD (aerosol optical depths) and low Ångström exponent were detected by remote-sensing observation during the dust pollution episode, and this episode corresponded to coarse particles rich in mineral components such as Al and Ca contributing 76.8% to TSP. The relatively low Ca/Al ratio of 0.75 along with the air mass backward trajectory analysis suggested the dust source was from Gobi Desert. Typical tracers for biomass burning from satellite observation (column CO and HCHO) and from ground measurement (CO, particulate K+, OC, and EC) were greatly enhanced during the biomass burning pollution episode. The exclusive linear correlation between CO and PM2.5 corroborated that organic aerosol dominated aerosol chemistry during biomass burning, and the high concentration and enrichment degree of arsenic (As) could be also partly derived from biomass burning. Aerosol optical profile observed by lidar demonstrated that aerosol was mainly constrained below the boundary layer and comprised of spheric aerosol (depolarization ratio <5%) during the secondary inorganic and biomass burning episodes, while thick dust layer distributed at altitudes from near surface to 1.4 km (average depolarization ratio = 0.122 ± 0.023) with dust accounting for 44–55% of the total aerosol extinction coefficient during the dust episode. This study portrayed a good picture of the typical haze types and proposed that identification of the complicated emission sources is important for the air quality improvement in megacities in China.

Highlights

  • China is undergoing tremendous challenges of air quality impairment due to rapid industrial and transportation expansion, sharply increased demands of fossil fuel usage and increasing populations

  • Comments and discussions are made to emphasize the importance of aerosol source determination, which hopefully will be beneficial for the local governments to improve air quality and mitigate climate effects

  • Haze was usually defined as an atmospheric phenomenon, where dust, smoke and other pollutant particles reduced the visibility of the sky

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Summary

Introduction

China is undergoing tremendous challenges of air quality impairment due to rapid industrial and transportation expansion, sharply increased demands of fossil fuel usage and increasing populations. The YRD region, on which this study was focusing, included the biggest city in China, Shanghai, and Jiangsu and Zhejiang provinces. It has a population of over 80 million people and occupies over 21 % of China’s total gross domestic product (GDP). It was estimated that the total economic cost of health impacts due to particulate air pollution in urban areas of Shanghai in 2001 was approximately 625.40 million US dollars, accounting for 1.03 % of GDP of the city (Kan and Chen, 2004). Comments and discussions are made to emphasize the importance of aerosol source determination, which hopefully will be beneficial for the local governments to improve air quality and mitigate climate effects

Observational site
Automatic aerosol and gases monitoring
Manual sampling
Lidar observation
Ion analysis
Element analysis
Carbonaceous aerosol analysis
Satellite observation
Identification of three pollution episodes
Regional characteristics and possible sources via remote sensing observation
Aerosol chemistry under different atmospheric conditions
Trace gases
Formation mechanisms of different types of haze
Conclusions
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