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Mesoscale cycling of organophosphorus flame retardants (OPFRs) in the Bohai Sea and Yellow Sea biotic and abiotic environment: A WRF-CMAQ modeling.

Authors :
Wang, Linfei
Huang, Yufei
Zhang, Xiaodong
Liu, Xinrui
Chen, Kaijie
Jian, Xiaohu
Liu, Junfeng
Gao, Hong
Zhugu, Ruiyu
Ma, Jianmin
Source :
Environmental Pollution; Apr2022, Vol. 298, pN.PAG-N.PAG, 1p
Publication Year :
2022

Abstract

Rapid urbanization and industrialization in the eastern seaboard region of China enhance the widespread use of organophosphorus flame retardants (OPFRs). The present study set up a coupled WRF-CMAQ-SMOKE and multi-compartment exchange modeling framework to assess the environmental fate and cycling of OPFRs and their contamination in the Bohai and Yellow Seas' marine food web. The framework predicts meteorological conditions, optimized air emissions, and concentrations of OPFRs in air, seawaters, marine sediment, and the food web. The model was implemented to simulate the temporal and spatial fluctuations of Tris (2-chloroisopropyl) phosphate (TCPP), the most dominant congener of OPFRs in China, in the Bohai and the Yellow Sea ecosystems on a spatial resolution of 10 km. Results revealed the effects of source proximity, atmospheric transport and deposition, and the changes in meteorology on TCPP's temporal-spatial distribution across different areas of coastal waters. The model also captures TCPP levels in commercial fish species in the Bohai Sea. The detailed temporal-spatial characteristics of TCPP with the mesoscale resolution provide useful information and a new tool for the environmental and health consequences of mariculture, urban and industrial emission mitigation in coastal regions for emerging chemicals, and fishery industry development. [Display omitted] • Mesoscale cycling of OPFR across China's marine environment was quantitatively assessed. • Diurnal and monthly variation of OPFR with high spatial resolution are identified. • Source proximity and lipid contents determine OPFR contamination in commercial fish. • The model provides a useful tool to foresee the risk of toxic chemicals in fish. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02697491
Volume :
298
Database :
Supplemental Index
Journal :
Environmental Pollution
Publication Type :
Academic Journal
Accession number :
155058956
Full Text :
https://doi.org/10.1016/j.envpol.2022.118859