Use of molecular composition and compound-specific isotope analysis for source appointment of PAHs in sediments of a highly industrialized area SCIE SCOPUS

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Title
Use of molecular composition and compound-specific isotope analysis for source appointment of PAHs in sediments of a highly industrialized area
Author(s)
Kim, Youngnam; Hong, Seongjin; Jun, Lincheon; Lee, Yeon Jung; Kim, Mungi; Yim, Un Hyuk; Khim, Jong Seong; Shin, Kyung-Hoon
KIOST Author(s)
Lee, Yeon Jung(이연정)Yim, Un Hyuk(임운혁)
Alternative Author(s)
이연정; 임운혁
Publication Year
2023-11
Abstract
This study utilized both conventional molecular analysis and compound-specific isotopic techniques to identify the sources of polycyclic aromatic hydrocarbons (PAHs) in sediments of Ulsan Bay, South Korea. The concentrations of 15 traditional and 11 emerging PAHs were determined in sediments from 21 source sites and 26 bay sites. The concentrations and compositions of traditional and emerging PAHs varied significantly, even at sites close to the source areas. The results obtained from diagnostic ratios and the positive matrix factorization model for source identification were inconsistent in adjacent source areas. The δ13C profiles of PAHs, such as phenanthrene (Phe), fluoranthene (Fl), pyrene (Py), and benz[a]anthracene (BaA) in the sediments showed distinct features depending on the surrounding sources. In urban sediments, lighter δ13CPhe values were observed (mean: −25.1‰), whereas relatively heavier values of δ13CPy were found in petroleum industry areas (mean: −23.4‰). The Bayesian isotope mixing model indicates that the predominant source of PAHs in Ulsan Bay sediments was the petroleum industry (45%), followed by the non-ferrous metals industry (30%), automobile industry (18%), and urban areas (6.3%). These results demonstrated the utility of stable isotopes in assessing the sources and contributions of PAHs in small-scale regions. However, there are still limitations in compound-specific isotope analysis of PAHs, including insufficient end-members for each source, difficulty in analysis, and the influence of non-point sources; thus, further study is needed to expand its application. © 2023 Elsevier Ltd
ISSN
0269-7491
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/44658
DOI
10.1016/j.envpol.2023.122546
Bibliographic Citation
Environmental Pollution, v.337, 2023
Publisher
Elsevier Ltd
Keywords
Sediments; Source identification; Bayesian isotope mixing model; Compound-specific isotope analysis; PMF model
Type
Article
Language
English
Document Type
Article
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