Polycyclic aromatic hydrocarbons associated with total suspended particles and surface soils in Kunming, China: distribution, possible sources, and cancer risks
Abstract:The concentrations, distribution, possible sources, and cancer risks of polycyclic aromatic hydrocarbons (PAHs) in total suspended particles (TSPs) and surface soils collected from the same sampling spots were compared in Kunming, China. The total PAH concentrations were 9.35-75.01 ng/m(3) and 101.64-693.30 ng/g dry weight (d.w.), respectively, in TSPs and surface soils. Fluoranthene (FLA), pyrene (PYR), chrysene (CHR), and phenanthrene (PHE) were the abundant compounds in TSP samples, and phenanthrene (PHE), … Show more
“…Similarly, FLA (13.85%) was the most abundant compound in surface soil samples, followed by PYR (13.77%), PHE (12.85%), CHR (11.61%), ANT (8.87%) and BbF (7.86%). FLA, PYR, CHR, PHE and BbF were the abundant compounds both in PM and surface soil samples, which was similar with earlier paper on the profiles of PAHs in Kunming (Lin et al, 2013;Yang et al, 2015;Zhao et al, 2014). Obviously, the proportions of FLA absorbed in all measured samples were relatively higher than that of other compounds.…”
Section: Profiles Of Pahssupporting
confidence: 91%
“…The daily samples collected at each site were extracted and processed separately, and they were extracted cumulatively and a single value was obtained for each site. Details of the analysis of PAHs have been described previously (Lin et al, 2013;Yang et al, 2015). Before analysis, the filters and surface soils were lyophilised for 72 h using an Eyela FDU-1200 freeze drier (Tokyo, Japan).…”
Section: Sample Pre-treatment and Analysismentioning
confidence: 99%
“…It is significance to notice the pollution characteristics of PAHs in this city. Earlier papers on the results of PAHs in Kunming were focused on TSP and surface soils, showed that PAHs were detected both in TSP and surface soils (Lin et al, 2013;Yang et al, 2015). However, there is a lack of data documenting PM 2.5 -bound PAHs in Kunming, which can better understand the fate of PAHs pollution and assess the potential human health risks.…”
The concentrations, possible sources and cancer risks of polycyclic aromatic hydrocarbons (PAHs) in fine particulate matter (PM 2.5), total suspended particles (TSP) and surface soils collected from the same sampling spots were analysed in Kunming, China. The total PAH concentrations in PM 2.5 , TSP and surface soil were 7.44-25.64 ng/m 3 , 17.73-48.35 ng/m 3 and 72.16-442.40 ng/g dry weight, respectively. Pyrogenic origins (especially coal, wood and fossil fuel combustion) were identified as the main sources of PAHs in particulate matter (PM) and surface soils based on the diagnostic ratios and principal component analysis (PCA). The values of incremental lifetime cancer risk (ILCRs) that exposed to PAHs in PM 2.5 were slightly larger than 10-4 , indicating high potential of carcinogenic risk. And the values of ILCRs showed that particle-bound PAHs with higher potential carcinogenic ability than soil PAHs. Moreover, compared with adults, the values of cancer risk among children were always higher.
“…Similarly, FLA (13.85%) was the most abundant compound in surface soil samples, followed by PYR (13.77%), PHE (12.85%), CHR (11.61%), ANT (8.87%) and BbF (7.86%). FLA, PYR, CHR, PHE and BbF were the abundant compounds both in PM and surface soil samples, which was similar with earlier paper on the profiles of PAHs in Kunming (Lin et al, 2013;Yang et al, 2015;Zhao et al, 2014). Obviously, the proportions of FLA absorbed in all measured samples were relatively higher than that of other compounds.…”
Section: Profiles Of Pahssupporting
confidence: 91%
“…The daily samples collected at each site were extracted and processed separately, and they were extracted cumulatively and a single value was obtained for each site. Details of the analysis of PAHs have been described previously (Lin et al, 2013;Yang et al, 2015). Before analysis, the filters and surface soils were lyophilised for 72 h using an Eyela FDU-1200 freeze drier (Tokyo, Japan).…”
Section: Sample Pre-treatment and Analysismentioning
confidence: 99%
“…It is significance to notice the pollution characteristics of PAHs in this city. Earlier papers on the results of PAHs in Kunming were focused on TSP and surface soils, showed that PAHs were detected both in TSP and surface soils (Lin et al, 2013;Yang et al, 2015). However, there is a lack of data documenting PM 2.5 -bound PAHs in Kunming, which can better understand the fate of PAHs pollution and assess the potential human health risks.…”
The concentrations, possible sources and cancer risks of polycyclic aromatic hydrocarbons (PAHs) in fine particulate matter (PM 2.5), total suspended particles (TSP) and surface soils collected from the same sampling spots were analysed in Kunming, China. The total PAH concentrations in PM 2.5 , TSP and surface soil were 7.44-25.64 ng/m 3 , 17.73-48.35 ng/m 3 and 72.16-442.40 ng/g dry weight, respectively. Pyrogenic origins (especially coal, wood and fossil fuel combustion) were identified as the main sources of PAHs in particulate matter (PM) and surface soils based on the diagnostic ratios and principal component analysis (PCA). The values of incremental lifetime cancer risk (ILCRs) that exposed to PAHs in PM 2.5 were slightly larger than 10-4 , indicating high potential of carcinogenic risk. And the values of ILCRs showed that particle-bound PAHs with higher potential carcinogenic ability than soil PAHs. Moreover, compared with adults, the values of cancer risk among children were always higher.
To assess the effect of floor levels of high-rise apartment buildings on the accumulation of contaminants in indoor environment, residential air-conditioner filter dust (ACFD) samples from the 1 st , 10 th , 20 th and 30 th floors of a high-rise apartment building were collected for the determination of n-alkanes and polycyclic aromatic hydrocarbons (PAHs). The results show that both n-alkanes and PAHs in the residential ACFD were ubiquitous but varied greatly in concentrations. The total concentrations of 27 n-alkanes (Σ 27 AK) and 16 PAHs (Σ 16 PAH) ranged from 1.35 to 9290 µg g -1 and 278-34200 ng g -1 , respectively. Source apportionment revealed that n-alkanes were from mixed sources combining fossil fuel combustion, natural emission and solid biomass burning, but PAHs were mainly from indoor sources. Furthermore, the diagnostic ratio of paired low weight molecular PAH species may change during transportation and accumulation. Significantly higher concentrations of Σ 27 AK and Σ 16 PAH were observed in the samples from low floor levels (the 1 st and 10 th floors) compared to those from high floor levels (the 20 th and 30 th floors). The results of classification and regression tree analysis clearly suggested floor level is the most important factor influencing the accumulation of Σ 27 AK and Σ 16 PAH in the ACFD. Our findings imply that people living on lower floor levels have greater exposure risks to PAHs associated with indoor dust.
“…PC_P1 included high loading of BaA, BbF, BkF, BaP, InP, DBA, and BP known as molecular markers of emissions from gasoline and diesel vehicles (Ho et al 2009; Sklorz et al . Moderate loading PAHs (Acy, Phe, Flu, and Pyr) in PC_P1 were generally considered as typical tracers for coal combustion (Sofowote et al 2008;Wang et al 2015c;Yang et al 2015). PC_P1 was identified as a mixed source of a high traffic influence and a low coal combustion influence.…”
Section: Concentration and Profile Of Pahs In The Study Regionmentioning
Guiyu is a well-known electronic waste dismantling and recycling town in south China. Concentrations and distribution of the 21 mineral elements and 16 polycyclic aromatic hydrocarbons (PAHs) collected there were evaluated. Principal component analyses (PCA) applied to the data matrix of PAHs in the soil extracted three major factors explaining 85.7% of the total variability identified as traffic emission, coal combustion, and an unidentified source. By using metallic or metalloid element concentrations as variables, five principal components (PCs) were identified and accounted for 70.4% of the information included in the initial data matrix, which can be denoted as e-waste dismantling-related contamination, two different geological origins, anthropogenic influenced source, and marine aerosols. Combining the 21 metallic and metalloid element datasets with the 16 PAH concentrations can narrow down the coarse source and decrease the unidentified contribution to soil in the present study and therefore effectively assists the source identification process.
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