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                                    Volumes 72-83 (2023)
                                
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                                                Volume 83
                                                Pages 1-258 (December 2023) 
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                                                Volume 82
                                                Pages 1-204 (November 2023) 
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                                                Pages 1-188 (October 2023) 
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                                                Volume 80
                                                Pages 1-202 (September 2023) 
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                                                Pages 1-172 (August 2023) 
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                                                Pages 1-146 (July 2023) 
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                                                Pages 1-152 (June 2023) 
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                                                Pages 1-176 (May 2023) 
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                                                Pages 1-228 (April 2023) 
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                                                Pages 1-200 (March 2023) 
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                                                Volume 73
                                                Pages 1-138 (February 2023) 
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                                                Volume 72
                                                Pages 1-144 (January 2023) 
 
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                                                Volume 83
                                                
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                                    Volumes 60-71 (2022)
                                
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                                                Pages 1-108 (December 2022) 
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                                                Pages 1-138 (June 2022) 
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                                                Pages 1-186 (May 2022) 
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                                                Volume 63
                                                Pages 1-124 (April 2022) 
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                                                Volume 62
                                                Pages 1-104 (March 2022) 
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                                                Volume 61
                                                Pages 1-120 (February 2022) 
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                                                Volume 60
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                                                Volume 71
                                                
- Volumes 54-59 (2021)
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- Volume 8 (2010)
- Volume 7 (2009)
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- Volume 5 (2007)
- Volume 4 (2006)
- Volume 3 (2005)
- Volume 2 (2004)
- Volume 1 (2003)
Chemical composition and source apportionment of the ambient PM2.5 in Hangzhou, China
• PM2.5 pollution was investigated in Hangzhou, China during April 2004 to March 2005.
• Water-soluble ions, metal elements, and total carbon in PM2.5 were determined.
• Temporal and spatial distributions for PM2.5 and its components were studied.
• Emission sources of PM2.5 in the central area were identified using positive matrix factorization.
To identify and apportion the sources of the ambient PM2.5 in the urban area of Hangzhou, China, PM2.5 samples were collected at three sites in the city from April 2004 to March 2005. Water-soluble ions, metal elements, and total carbon (TC) in PM2.5 samples were analyzed. The results indicated that the 24-h mean concentrations of PM2.5 ranged from 17.1 to 267.0 μg/m3, with an annual average value of 108.2 μg/m3. Moreover, the seasonal mean values for PM2.5 in spring, summer, autumn, and winter were 116, 73.1, 114.2, and 136.0 μg/m3, respectively. According to the Chinese ambient quality standard, at least 70% of the monitoring data exceeded the limit value. The total contribution of water-soluble ions, including F−, Cl−, NO3−, SO42−, NH4+, K+, and Na+, to PM2.5 mass varied from 32.3% to 36.7%. SO42−, NO3−, and NH4+ were the main constituents of the ions, with contributions to PM2.5 varying from 14.1% to 14.7%, 6.0% to 7.8%, and 6.4% to 7.7%, respectively. In addition, the annual mean mass fraction of TC in PM2.5 was 27.8%. The annual average total contribution of the group of elements of Zn, Pb, Cu, Mn, Cr, Ni, Se, Mo, Cd, Sb, and Ag to the aerosol was in the range of 1.7–2.0%. Furthermore, positive matrix factorization was applied to analyze the PM2.5 data collected from the central area, and five factors were identified. The factor contributions to PM2.5 mass were 12.8%, 31.9%, 10.1%, 17.2%, and 27.9%, respectively. Iron/steel manufacturing and secondary aerosol were the main sources for the fine particles. These findings may have significance for controlling the atmospheric contamination in the city.
 
                                