2015
DOI: 10.1039/c5em00077g
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Spatial variation and sources of polycyclic aromatic hydrocarbons (PAHs) in surface sediments from the Yangtze Estuary, China

Abstract: The spatial distributions and sources of polycyclic aromatic hydrocarbons (PAHs) in surface sediments from the Yangtze Estuary were systematically analyzed. The results indicated significant spatial variations. The mean of ∑PAHs in different sampling times in a year varied from 128.5 ± 51.4 to 307.8 ± 108.9 ng g(-1). Samples collected during the flood season showed higher PAH concentrations and larger PAH fluctuations compared with those collected during the dry season. This variation was mainly ascribed to th… Show more

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Cited by 27 publications
(10 citation statements)
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“…Principal component analysis–multiple linear regression (PCA–MLR) is a multivariate analytical tool used widely for receptor modeling in environmental source apportionment studies. , In this study, based on the determination of 15 priority PAHs from the SSW of the northern SCS and the ECS and YS, the sources of these PAHs in the spring, summer, autumn, and winter were quantitatively assessed by PCA–MLR. Each factor profile was then identified by comparing the source profiles from acknowledged references. , Detail discussion of the source identification of PCA were listed in the section 5 in the Supporting Information and Table S6. Contribution rates of different PAH sources by MLR in four seasons are listed in Table S7.…”
Section: Resultsmentioning
confidence: 99%
“…Principal component analysis–multiple linear regression (PCA–MLR) is a multivariate analytical tool used widely for receptor modeling in environmental source apportionment studies. , In this study, based on the determination of 15 priority PAHs from the SSW of the northern SCS and the ECS and YS, the sources of these PAHs in the spring, summer, autumn, and winter were quantitatively assessed by PCA–MLR. Each factor profile was then identified by comparing the source profiles from acknowledged references. , Detail discussion of the source identification of PCA were listed in the section 5 in the Supporting Information and Table S6. Contribution rates of different PAH sources by MLR in four seasons are listed in Table S7.…”
Section: Resultsmentioning
confidence: 99%
“…With the extensive application of plastic products, PAEs are a significant emission and widespread in the air, water, soil, sediment, biological and other environmental media (Kranich et al, 2013;Kong et al, 2015;Paluselli et al, 2018). The study also found that coal combustion can also release PAEs (Wang et al, 2015a). Recent studies have indicated that PAEs are significant environmental pollutants with carcinogenic, teratogenic, and mutagenic effects.…”
Section: Introductionmentioning
confidence: 89%
“…Four seasons change in Xinjiang are obvious, the winter was very cold, and there was a heating period during the autumn, winter and spring, starting from October of the year to the end of next year April, for up to six months or more. The primary heating method in Changji relies on coal combustion and the coal-burning process can release PAEs to the environment (Wang et al, 2015a). During the winter, the low temperatures were not conducive to PAEs volatilizing from the soil.…”
Section: Seasonal Variation Of Paes and Its Influencing Factorsmentioning
confidence: 99%
“…BghiP and InP were considered to be derived from the emissions of gasoline and diesel engines combustion systems [52]. In general, Ana, Flua and Pyr could be designated as the important indicator of wood and coal combustion [53], which could be related to industrial emissions and local enterprise production activities. Based on the results, it was inferred that PC1 referred to the contribution of surrounding industrial pollution and traffic emissions to the import of PAHs.…”
Section: Principal Component Analysismentioning
confidence: 99%