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Zhu, Fu-Jie, Wang, Li-Fu, Qu, Long-Ze, Ma, Wan-Li, Ren, Geng-Bo, Li, Ben-Hang, Ma, Xiao-Dong (2024) Modelling the dynamic gas/particle partitioning process of semi-volatile organic compounds emitted from point sources: Quantitative analysis and impact assessment. Science of The Total Environment, 933. 172935 doi:10.1016/j.scitotenv.2024.172935

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Reference TypeJournal (article/letter/editorial)
TitleModelling the dynamic gas/particle partitioning process of semi-volatile organic compounds emitted from point sources: Quantitative analysis and impact assessment
JournalScience of The Total Environment
AuthorsZhu, Fu-JieAuthor
Wang, Li-FuAuthor
Qu, Long-ZeAuthor
Ma, Wan-LiAuthor
Ren, Geng-BoAuthor
Li, Ben-HangAuthor
Ma, Xiao-DongAuthor
Year2024 (July)Volume933
PublisherElsevier BV
DOIdoi:10.1016/j.scitotenv.2024.172935Search in ResearchGate
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Mindat Ref. ID17383783Long-form Identifiermindat:1:5:17383783:4
GUID0
Full ReferenceZhu, Fu-Jie, Wang, Li-Fu, Qu, Long-Ze, Ma, Wan-Li, Ren, Geng-Bo, Li, Ben-Hang, Ma, Xiao-Dong (2024) Modelling the dynamic gas/particle partitioning process of semi-volatile organic compounds emitted from point sources: Quantitative analysis and impact assessment. Science of The Total Environment, 933. 172935 doi:10.1016/j.scitotenv.2024.172935
Plain TextZhu, Fu-Jie, Wang, Li-Fu, Qu, Long-Ze, Ma, Wan-Li, Ren, Geng-Bo, Li, Ben-Hang, Ma, Xiao-Dong (2024) Modelling the dynamic gas/particle partitioning process of semi-volatile organic compounds emitted from point sources: Quantitative analysis and impact assessment. Science of The Total Environment, 933. 172935 doi:10.1016/j.scitotenv.2024.172935
In(2024) Science of The Total Environment Vol. 933. Elsevier BV

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