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| Content Provider | Royal Society of Chemistry (RSC) |
|---|---|
| Author | Wu, Shui-Ping Wang, Xing-Hong Qian, Ran-Ran Lee, Tsung-Chang Yuan, Chung-Shin Hong, Hua-Sheng |
| Copyright Year | 2012 |
| Abstract | From March 2008 to February 2009, PM10 samples were collected and analyzed for polycyclic aromatic hydrocarbons (PAHs) at eight sampling sites in Great Xiamen Bay, China. Analyses of the seasonal and spatial variations of these compounds revealed the following results. Significantly high levels of PAHs were found in the winter compared to the summer, sometimes exceeding 100 ng m−3, and the spatial variations were influenced most by the sampling site surroundings. Composition profiles of PAHs of an urban and a rural site were shown to be very similar with a positive correlation coefficient larger than 0.9 at the 0.01 level of significance for the same season. Diagnostic ratios, together with principal component and multiple linear regression analysis, showed that more PAHs were from grass/wood/coal combustion in winter than in other seasons. The ratios of benzo[a]pyrene to benzo[e]pyrene (BaP–BeP) in winter and fall were 0.6–1.7 times higher than those in spring and summer, suggesting the importance of local emissions of PAHs. The BaP–BeP ratios in Kinmen were generally lower than those in Xiamen, indicating that the aging degree of PAHs was higher in Kinmen than in Xiamen. The external input of PAHs from upwind urban and industrial areas was one of the key factors causing high levels of PAHs in PM10 in Great Xiamen Bay in winter. |
| Starting Page | 1221 |
| Ending Page | 1230 |
| Page Count | 10 |
| File Format | HTM / HTML PDF |
| ISSN | 14640325 |
| Volume Number | 14 |
| Issue Number | 4 |
| Journal | Journal of Environmental Monitoring |
| DOI | 10.1039/c2em10840b |
| Language | English |
| Publisher | Royal Society of Chemistry |
| Access Restriction | Open |
| Subject Keyword | Great Xiamen Bay China Kinmen Xiamen Particulates Polycyclic aromatic hydrocarbon Xiamen Bay Correlation and dependence Linear regression Regression analysis Wood Pyrene |
| Content Type | Text |
| Resource Type | Article |
| Subject | Public Health, Environmental and Occupational Health Management, Monitoring, Policy and Law |
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