Source apportionment of polycyclic aromatic hydrocarbons in soils of Huanghuai Plain, China: Comparison of three receptor models

Studies on polycyclic aromatic hydrocarbons in surface sediments of Mithi River near Mumbai, India: Assessment of sources, toxicity risk and biological impact

“…The concentration level of ΣPAHs found in the present study (1845-3809 ng/g dw) with a mean concentration of 2824 ± 116 ng/g dw, was high as compared to the agricultural soil of Delhi (830-3880 ng/g dw) (Agarwal et al, 2009) but low as compared to that reported in sediments from Mumbai Harbour Line, India (17-134,134 ng/g dw) (Dhananjayan et al, 2012). When compared with other regions of the world, the concentration level of PAHs found in our study was exceeding to that reported previously in soils/sediments from Masan Bay of Korea (41.5-1100 ng/g dw) (Khim et al, 1999), Daya Bay of China (115-1134 ng/g dw) (Zhou and Maskaoui, 2003), Huanghuai Plain of China (14-1246 ng/g dw) (Yang et al, 2013a). Baumard et al (1999) have suggested four categories or groups of soils depending on the contamination levels of PAHs: (a) low, 0-100 ng g −1 ; (b) moderate, 100-1000 ng g − 1 ; (c) high, 1000-5000 ng g − 1 ; and (d) very high, N5000 ng g − 1 .…”

Combination of Unmix and positive matrix factorization model identifying contributions to carcinogenicity and mutagenicity for polycyclic aromatic hydrocarbons sources in Liaohe delta reed wetland soils, China

“…These four source categories of PAHs by Unmix and PMF model were similar to those of our previous CMB model results, though the source contributions were not totally consistent with each other (Li et al, 2014). The different source contribution to PAH concentrations between Unmix, PMF and CMB model might attribute to uncertainties model parameters and species variables (Song et al, 2008;Yang et al, 2013).…”

“…(Jenkins et al, 1996;Pietzsch et al, 2010). Receptor models, including principal component analysis (PCA), positive matrix factorization (PMF), factor analysis with nonnegative constraints (FA-NNC), chemical mass balance (CMB) and Unmix model, etc., are frequently applied to identify the origin of PAHs (Henry 2003;Ravindra et al, 2006;Callén et al, 2009;Henry and Christensen, 2010;Zhang et al, 2012;Lang et al, 2013;Yang et al, 2013;Lang and Yang, 2014;Li et al, 2014). These models have shown good applicability in apportioning the PAHs sources, despite of the differences between these models.…”

Distribution and Accumulation of Polychlorinated Biphenyls (PCB), Polycyclic Aromatic Hydrocarbons (PAHs) and Organo-chlorine Residues in the Muscle Tissue of Labeo rohita

“…Due to their hydrophobicity, strong perseverance, and thorough transference potential, PAHs are extensively dispersed in the aquatic habitat as well as in the air (Halek et al, 2008), water (Li et al, 2006a, b;Cheung et al, 2007), soils (Zhu et al, 2008;Yang et al, 2013), sediments (Chen et al, 2012), and organisms Li et al, 2013). The PAH amalgam may also move between the various ecological niches.…”