Assessment and Implication of PAHs and Compound-Specific δ 13 C Compositions in a Dated Marine Sediment Core from Daya Bay, China

Yan Lu, Dongmei Li, Xiaoyun Wang, Jianping Cao, Sheng Huang and Peng Zhou
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Yan Lu: Guangdong University of Petrochemical Technology, Maoming 525000, China
Dongmei Li: South China Sea Environment Monitoring Center, State Oceanic Administration (SOA), Guangzhou 510300, China
Xiaoyun Wang: Sixth Geological Brigade of Hubei Geological Bureau, Xiaogan 432000, China
Jianping Cao: Guangdong University of Petrochemical Technology, Maoming 525000, China
Sheng Huang: South China Sea Environment Monitoring Center, State Oceanic Administration (SOA), Guangzhou 510300, China
Peng Zhou: South China Sea Environment Monitoring Center, State Oceanic Administration (SOA), Guangzhou 510300, China

IJERPH, 2022, vol. 19, issue 8, 1-15

Abstract: PAHs in a sediment core covering ~120 years from Daya Bay in South China Sea were extracted using Soxhlet and high performance thin layer chromatography, and the compound-specific δ 13 C were analyzed using gas chromatography–combustion–isotopic ratio mass spectrometry. The concentrations of PAHs ranged from 99.3 to 676 ng g −1 , with high molecular weight PAHs as a key component. PAHs’ compound-specific δ 13 C ranged from −35.02‰ to −16.14‰. The patterns of 16 PAHs, molecular ratios, and compound specific δ 13 C compositions indicate important pyrolytic and petrogenic sources: PAHs derived predominantly from pyrogenic sources (including coal and wood incomplete combustion) before the 1960s, while after the 1960s, they derived predominantly from mixed pyrogenic and petrogenic sources (including automotive exhaust emissions, oil spills, and coal and wood incomplete combustion). Our results can provide important insights into organic pollution emissions influenced by human activities and the urbanization of Daya Bay.

Keywords: polycyclic aromatic hydrocarbons (PAHs); compound-specific carbon stable isotope; marine sediment; sources identification; Daya Bay (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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