生态学杂志2025，Vol.44Issue(11)：3694-3703,10.DOI:10.13292/j.1000-4890.202511.035
中国天然源挥发性有机物排放特征及对大气二次污染物生成的影响
Characteristic of biogenic volatile organic compound(BVOC)emissions and their impacts on the forma-tion of atmospheric secondary pollutants in China
摘要
Abstract
To explore the temporal and spatial variations of biogenic volatile organic compound(BVOCs)emis-sions,based on the Moderate Resolution Imaging Spectroradiometer(MODIS)land cover dataset,the meteorologi-cal model WRF and BVOC emissions estimation model MEGANv3.2 were used to simulate the BVOC emissions in China in 2020.The maximum incremental reactivity method and the fractional aerosol coefficient method were used to quantify the impacts of BVOC emissions on ozone(O3)and secondary organic aerosol(SOA)formation.The re-sults showed that the total BVOC emissions in China in 2020 was 29.16 Tg,with isoprene,monoterpenes,sesquit-erpenes,and other VOCs(OVOCs)accounting for 27.54％,22.29％,3.16％,and 47.05％of the total annual emissions of BVOC,respectively.In terms of temporal distribution,BVOC emissions in spring,summer,fall,and winter accounted for 17.49％,63.68％,16.12％,and 2.71％of the total emissions,respectively.In terms of spa-tial distribution,BVOC emissions generally showed a trend of high in the southeast and low in the northwest,with the Guangxi Zhuang Autonomous Region,Guangdong Province,and Hunan Province having the highest BVOCs emissions,accounting for 11.08％,8.06％,and 8.02％of the total emissions.The total O3 formation potential(OFP)and SOA formation potential(SOAP)of BVOC emissions in 2020 were 175.17 and 2.60 Tg,respectively,with isoprene being the main source of OFP,accounting for 48.63％of the total OFP,and monoterpenes being the main contributor to SOAP,accounting for 74.90％of the total SOAP.关键词
挥发性有机物(VOCs)/排放清单/O3/二次有机气溶胶(SOA)Key words
volatile organic compound(VOC)/emission inventory/O3/secondary organic aerosol(SOA)引用本文复制引用
白广坤,孔范龙,李志才,李玲玉..中国天然源挥发性有机物排放特征及对大气二次污染物生成的影响[J].生态学杂志,2025,44(11):3694-3703,10.基金项目
山东省高等学校青年创新团队发展计划项目(2022KJ147)和国家自然科学基金项目(42075103)资助. （2022KJ147）
