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Source apportionment and health risk assessment of polycyclic aromatic hydrocarbons (PAHs) in the coastal ecosystem of the Brunei Bay, Brunei


Citation

Sharifi, Reza and Keshavarzifard, Mehrzad and Sharifinia, Moslem and Zakaria, Mohamad Pauzi and Mehr, Meisam Rastegari and Abbasi, Sajjad and Yap, Chee Kong and Yousefi, Mohamad Reza and Masood, Najat and Magam, Sami Muhsen and Alkhadher, Sadeq Abdullah Abdo and Daliri, Moslem (2022) Source apportionment and health risk assessment of polycyclic aromatic hydrocarbons (PAHs) in the coastal ecosystem of the Brunei Bay, Brunei. Marine Pollution Bulletin, 181. art. no. 113913. pp. 1-13. ISSN 0025-326X; ESSN: 1879-3363

Abstract

Pollution characteristics and associated ecological risks of PAHs in sediments from Brunei Bay, Brunei were investigated. The concentrations of ∑16 PAHs ranged from 826.7 to 2955.3 μg kg− 1 , indicating moderate to high level of pollution. Source apportionment of PAHs by molecular isomeric ratios and positive matrix factorization model indicated impact of potential anthropogenic PAH sources including combustion of biomass and fossil fuels. The data indicated relatively no significant ecotoxicological risk for most of PAH compounds. To estimate the individual c-PAH toxicity, the toxic equivalent quantity (c-TEQ) was calculated. Results of the TEQ analysis showed that BaP followed by DBA and BaA are the most carcinogenic of PAHs examined in the study area. The evaluation of human health risk of PAHs revealed that the cancer risk of PAHs for adults and children was higher than the USEPA threshold (<1E− 06) and lower than 1E-3, implying low to moderate risk.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Science
DOI Number: https://doi.org/10.1016/j.marpolbul.2022.113913
Publisher: Elsevier
Keywords: Polycyclic aromatic hydrocarbons (PAHs); Source apportionment; Positive matrix factorization (PMF); Sediment, Brunei Bay
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 19 Aug 2024 07:41
Last Modified: 19 Aug 2024 07:41
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.marpolbul.2022.113913
URI: http://psasir.upm.edu.my/id/eprint/109240
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