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Comparison of carbonaceous profiles of PM2.5 sources within different cities |
WANG Jing1,2, ZHAO Xue-yan1,2, YIN Bao-hui2, MA Yin-hong2, WANG Jian2, LIANG Han-dong1, YANG Wen2 |
1. State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology (Beijing), Beijing 100083, China; 2. Chinese Research Academy of Environmental Sciences, Beijing 100012, China |
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Abstract To investigate the characteristics and regional differences of carbonaceous profiles of PM2.5 sources within different cities, filter samples of coal combustion, diesel vehicles emission, gasoline vehicles emission and cooking emission from Shenyang, Shiyan and Urumqi were collected in this study. We analyzed the carbonaceous fractions (OC, EC, OC1, OC2, OC3, OC4, EC1, EC2, EC3, OPCT) based on thermal-optical transmittance method, and established the profiles of carbonaceous fractions of above four sources. The results showed that the mass fractions of total carbon (TC) in PM2.5 from high to low were cooking emission (65.1%±8.4%), diesel vehicles emission (46.2%±9.5%), gasoline vehicles emission (37.7%±3.5%) and coal combustion (17.3%±8.0%). The highest ratio of OC/TC was found in cooking emission, while the highest ratio of EC/TC was found in diesel vehicles emission. The levels of carbonaceous fractions within three cities can be affected by the different types of the same pollution source after subdivision. However, the overall characteristics were that the proportion of OC2 and OC3 in coal combustion were the highest, and the EC2 proportion in diesel vehicle emission was the highest, the proportion of OC2, OC1 and OC3 in the gasoline vehicles emission were the highest and the proportion of OC2 and OC3 in the cooking emission were the highest. The OC/EC ratios ranged from 0.4 to 7.6 for coal combustion, from 0.2 to 5.6 for diesel vehicles emission, from 1.1 to 38.5 for gasoline vehicles emission, and from 6.4 to 170.2 for cooking emission, respectively. The results of coefficient of divergence showed that different sources in the three cities had different profiles on the carbonaceous fractions, while the carbonaceous fractions from the same source type had similar profiles. We combined the carbonaceous fractions of the same sources type within three cities, used the modified pseudo-inverse matrix in the chemical mass balance receptor model. OC2, OC3, OC4, EC1 and OPCT. were the marker species of coal combustion; EC2 was the marker species of diesel vehicle emission; OC1, OC2 and OC3 were the marker species of gasoline vehicle emission; OC2 and OC3 were the marker species of cooking emission. We can notice that the similar carbon profiles and the consistent marker species of the same pollution sources in Shenyang, Shiyan and Urumqi can provide data reference for related researches within other cities in China.
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Received: 10 June 2022
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