MEGAN和BEIS的模式比较:生物源性VOCs和土壤NO排放对中国夏季臭氧和二次有机气溶胶形成的协同影响

Chao Gao, Xuelei Zhang*, Ling Huang, Hu Yang, Hongmei Zhao, Shichun Zhang and Aijun Xiu, 
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引用次数: 0

摘要

生物源性挥发性有机化合物(BVOCs)和土壤氮氧化物(NOx)是臭氧(O3)和二次有机气溶胶(SOA)形成的主要自然贡献者。虽然中国在减少人为排放方面取得了重大进展,但地表臭氧水平继续上升,这强调了生物排放在空气质量管理中的日益重要。尽管存在各种生物源排放模型,包括针对BVOCs的MEGAN v3.2和BEIS v3.6模型,以及针对土壤NO的YL95和BDSNP模型,但它们的估算存在差异,这给理解它们对臭氧形成的综合影响带来了不确定性。现有的研究主要集中在BVOCs或土壤氮氧化物的个体贡献上,而对其协同效应的探索较少。本文利用MEGAN和BEIS模型结合社区多尺度空气质量(CMAQ)模型,评估了BVOC和土壤NOx排放对中国臭氧形成的单独和综合影响。模拟了9种敏感性情景,以研究排放的时空变化及其对臭氧的贡献。结果表明,MEGAN估计的BVOC排放量比BEIS高1.27倍,特别是异戊二烯和单萜烯,而BDSNP方案预测的土壤NO排放量比YL95高。综合排放导致全国臭氧和SOA分别增加10.11% ~ 28.40%和15.03% ~ 62%,区域差异显著。协同效应放大了臭氧的形成,超出了单个排放源的叠加影响,特别是在华北平原等地区。我们的研究结果强调了将详细的生物源排放纳入空气质量模型以准确捕捉中国臭氧动态的迫切需要。通过确定BVOCs和土壤NOx的重要贡献,本研究为制定精细的排放控制策略提供了坚实的基础。所获得的见解促进了对大气化学中自然和人为相互作用的更广泛理解,指导了有效减轻臭氧污染的政策干预。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Model Intercomparisons of MEGAN and BEIS: Synergistic Impacts of Biogenic VOCs and Soil NO Emissions on Summer Ozone and Secondary Organic Aerosol Formation in China

Model Intercomparisons of MEGAN and BEIS: Synergistic Impacts of Biogenic VOCs and Soil NO Emissions on Summer Ozone and Secondary Organic Aerosol Formation in China

Biogenic volatile organic compounds (BVOCs) and soil nitrogen oxides (NOx) are major natural contributors to ozone (O3) and secondary organic aerosol (SOA) formation. While significant progress has been made in reducing anthropogenic emissions in China, surface ozone levels continue to rise, emphasizing the growing importance of biogenic emissions in air quality management. Despite the availability of various biogenic emission models, including MEGAN v3.2 and BEIS v3.6 for BVOCs and YL95 and BDSNP for soil NO, discrepancies in their estimates introduce uncertainties in understanding their combined impacts on ozone formation. Existing studies largely focus on individual contributions of BVOCs or soil NOx, leaving their synergistic effects underexplored in China. Here, we evaluate the individual and combined impacts of BVOC and soil NOx emissions on ozone formation in China using the MEGAN and BEIS models integrated with the Community Multiscale Air Quality (CMAQ) model. Nine sensitivity scenarios were simulated to examine spatial and temporal variations in emissions and their contributions to ozone. Results indicate that MEGAN estimates 1.27 times higher BVOC emissions than BEIS, particularly for isoprene and monoterpenes, while the BDSNP scheme predicts higher soil NO emissions compared to YL95. Combined emissions result in ozone and SOA increases of 10.11%–28.40% and 15.03%–62% across China, with significant regional variability. Synergistic effects amplify ozone formation beyond the additive impacts of individual emission sources, particularly in regions like the North China Plain. Our findings underscore the critical need to incorporate detailed biogenic emissions in air quality models to accurately capture ozone dynamics in China. By identifying the significant contributions of BVOCs and soil NOx, this study provides a robust basis for developing refined emission control strategies. The insights gained advance the broader understanding of natural and anthropogenic interactions in atmospheric chemistry, guiding policy interventions to mitigate ozone pollution effectively.

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