Journal of Geophysical Research Atmospheres · 2023 · 21 citations · 53 references
Natural SciencesEnvironmental SciencesAir PollutionAtmospheric ChemistryAtmospheric ScienceAir QualityEmission InventoriesEmission Inventory DevelopmentSecondary Organic AerosolsVolatile Organic CompoundsBiogenic Volatile Organic CompoundsEmission EstimationEmission FactorsEmission ModelsSecondary Organic Aerosol FormationSesquiterpene EmissionsVolatile Organic Compound EmissionsVolatile Organic Compounds Emissions
Abstract Biogenic volatile organic compounds (BVOCs) emitted from terrestrial plants contribute substantially to ozone (O 3 ) and secondary organic aerosol (SOA) formation in the troposphere. Accurate estimation of BVOC emissions is highly challengeable with a variety of uncertainties, one of which is the use of default emission factors (EFs) particularly for underrepresented regions without local data. In this study, locally measured BVOC‐EFs in south China, a subtropical region with abundant vegetation, were used to update regional BVOC emissions as estimated by the Model of Emissions of Gases and Aerosols from Nature (MEGAN). These EFs were recently determined in situ with characterized dynamic chambers for the emissions of isoprene, monoterpenes, and sesquiterpenes from tree species. The Community Multiscale Air Quality (CMAQ) model was then employed to see how much the regional O 3 and SOA production is altered with the updated BVOC emissions. Results revealed lower BVOC emission estimates in south China when using the localized EFs than the MEGAN default ones, particularly for sesquiterpenes with a notable average reduction rate of approximately 40%. Using the updated BVOC emissions improved model O 3 predictions in all seasons when compared to surface O 3 monitoring, yet the lower BVOC emissions resulted in modeled O 3 and SOA concentrations decreased by up to −6 ppb and −1.5 μg m −3 , respectively, throughout south China. This study highlights the significance of localized EFs in refining emission estimates and air quality predictions in regions with a wealth of vegetation.
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Natural Sciences, Environmental Sciences, Atmospheric Chemistry +15
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Chi Chen, Taejin Park, Xuhui Wang et al. · Nature Sustainability · 2019 · 2.9K citations · Full text