Updating Biogenic Volatile Organic Compound (BVOC) Emissions With Locally Measured Emission Factors in South China and the Effect on Modeled Ozone and Secondary Organic Aerosol Production

异戊二烯 CMAQ 环境科学 空气质量指数 大气科学 臭氧 气溶胶 对流层臭氧 亚热带 植被(病理学) 对流层 挥发性有机化合物 排放清单 环境化学 气象学 化学 地理 生态学 地质学 病理 有机化学 生物 聚合物 医学 共聚物
作者
Peng Wang,Yanli Zhang,Haixing Gong,Hongliang Zhang,Alex Guenther,Jianqiang Zeng,Tao Wang,Xinming Wang
出处
期刊:Journal Of Geophysical Research: Atmospheres [Wiley]
卷期号:128 (24) 被引量:12
标识
DOI:10.1029/2023jd039928
摘要

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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