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• W4360604498 endingPage "163021" @default.
• W4360604498 startingPage "163021" @default.
• W4360604498 abstract "In this study, a chemical transport model (i.e., Community Multi-scale Air Quality (CMAQ) modeling system with brute-force method (BFM)) was used in combination with atmosphere-ocean coupling to evaluate the impact of natural emissions (e.g., marine dimethyl sulfide (DMS), sea salt aerosol (SSA), and biogenic compounds) on the air quality of South Korea in the spring of 2019 (May 1–31). Overall, the coupled simulation results exhibited good agreement with the observations for meteorological fields and air quality (fine particulate matter (PM2.5) and ozone (O3)) compared to those obtained using the non-coupled simulation. The coupling effect in the study area tended to be strong in the presence of relatively strong winds (≥4 m s−1). The mean contributions of natural marine (DMS and SSA) and biogenic emissions to total PM2.5 mass reached ~8.2 % over the marine area and ~ 9.1 % over the land area, respectively. On average, biogenic emissions contributed 8.6 %, 29.3 % (and 27.3 %) to the concentrations of O3, secondary organic aerosol (SOA) (and organic carbon (OC)), respectively, over the land area. Isoprene and monoterpene contributed 40 % and 20 %, respectively, to biogenic SOA production over the land area and biogenic SOA accounted for 1.7 % and 7.8 % of the total O3 and PM2.5, respectively. Secondary aerosol formation was enhanced by gas-to-particle conversion processes due to the coupling effect. Therefore, this modeling study confirmed the non-negligible impact of natural emissions on the air quality in the study area. In addition, the study area is likely to be associated with VOC-limited conditions because of significantly enhanced photochemical O3 production owing to biogenic emissions." @default.
• W4360604498 created "2023-03-24" @default.
• W4360604498 creator A5026937595 @default.
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• W4360604498 date "2023-07-01" @default.
• W4360604498 modified "2023-10-16" @default.
• W4360604498 title "Evaluation of air quality simulation with a coupled atmosphere-ocean model: A case study on natural marine and biogenic emissions" @default.
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• W4360604498 doi "https://doi.org/10.1016/j.scitotenv.2023.163021" @default.
• W4360604498 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36965729" @default.
• W4360604498 hasPublicationYear "2023" @default.
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