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CONCLUSIONS

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This study identified the spatial distributions of PCDD/Fs and PCBs of two media, including soils and pine needles in Ulsan, Korea. From the total concentrations and spatial distributions for three areas, the industrial area had higher concentrations of PCDD/Fs, dl-PCBs, and indicator PCBs in soils than those from suburban and urban areas. Since Ulsan has the industrial complexes on a large scale, the concentrations of target compounds in soils were mainly influenced by the industrial processes. Soils in urban and suburban areas; however, had the similar levels of PCDD/Fs and PCBs, indicating that suburban area was affected to either from the local sources or from the urban and industrial areas. Pine needles in some industrial sites were primarily polluted, but other than that, those from three areas were not different owing to the atmospheric transport of PCDD/Fs and PCBs based on the physicochemical properties and meteorological conditions.

According to the results of average and individual profiles for sampling sites, the average composition of ∑7PCDDs accounted for about 77% of the normalized concentrations in soils. The industrial area had a different profile compared to those of the urban and suburban areas, contributing slightly higher

10PCDFs due to the industrial activities. Furan groups with higher chlorine atoms such as HxCDFs and HpCDFs were predominant about 82% of the normalized concentrations in pine needles. For dl- PCBs and indicator PCBs in soils, about 85%, 60% of penta- and hexa-CBs were accounted for the total normalized concentrations, respectively. In case of pine needles, on the other hand, about 87% of tetra- and penta-CBs, about 80% of tri- to penta-CBs were accounted for the normalized concentrations.

According to the results of Spearman correlation analysis, ∑17PCDD/Fs and ∑18PCBs were positively correlated with each other, representing that Ulsan has many pollution sources in common, such as incomplete combustions and usage of commercial products during the industrial processes. However, TOC and most PCDFs and heavy chlorinated PCBs (penta- to hepta-CBs) had positive correlations because of their strong binding tendency to the organic carbons in soil while PCDDs and light chlorinated PCBs (tri- to tetra-CBs) had no correlations, assuming that they are directly deposited on the soil layer regardless of its organic carbon content. With the respect of pine needles, the correlation between every PCDD/F and PCB congener was somewhat impossible due to the unstable state of deposition in pine needle for organic compounds owing to the various factors such as photodegradation and changes in temperature. Furthermore, the lipid content of pine needle and PCDD/F and PCB congeners had negative or no correlations, indicating that physicochemical factors of each congener such as Kow and Koa would be mainly affected the sorption of organic pollutants to the bioindicator.

Eventually, it is imperative to study both media to understand the entire pathways of organic pollutants in the environment.

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SUPPLEMENTARY INFORMATION

Figure S1. Chromatogram of PCDD/F standard.

59 Figure S2. Chromatogram of PCDD/Fs in sample.

60 Figure S3. Chromatogram of dl-PCB standard.

61 Figure S4. Chromatogram of dl -PCBs in sample.

62 Figure S5. Chromatogram of indicator PCB standard.

63 Figure S6. Chromatogram of indicator PCBs in sample.

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Figure S7. TOC-normalized concentrations of PCDD/Fs in soil samples.

Figure S8. TOC-normalized concentrations of PCBs in soil samples.

0 0.06 0.12 0.18 0.24 0.3

S1 S2 S3 S4 S5 S6 S7 S8 S9 S10 S11 S12 S13 U1 U2 U3 U4 U5 U6 U7 I1 I2 I3 I4 I5 I6 I7 I8 I9 I10

ng/g dw ng/g dw TOC

Concentration (ng/g dw)

Suburban Urban Industrial

0 0.9 1.8 2.7 3.6 4.5

S1 S2 S3 S4 S5 S6 S7 S8 S9 S10 S11 S12 S13 U1 U2 U3 U4 U5 U6 U7 I1 I2 I3 I4 I5 I6 I7 I8 I9 I10

ng/g dw ng/g dw TOC

Concentration (ng/g dw)

Suburban Urban Industrial

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