研究报告

  • 王君驰,黄志炯,袁自冰,沙青娥,毕琳琳,余宇帆,胡鸣鸣,刘元向,陈诚,郑君瑜.广东省移动源中等挥发性有机物(IVOCs)排放清单及不确定性分析[J].环境科学学报,2022,42(9):408-418

  • 广东省移动源中等挥发性有机物(IVOCs)排放清单及不确定性分析
  • Development and uncertainty analysis of intermediate volatility organic compounds IVOCs emission inventories from mobile sources in Guangdong Province
  • 基金项目:国家重点研发计划(No.2018YFC0213905);国家自然科学基金委研究项目(No.41805068)
  • 作者
  • 单位
  • 王君驰
  • 暨南大学环境与气候研究院,广州 510632
  • 黄志炯
  • 暨南大学环境与气候研究院,广州 510632
  • 袁自冰
  • 华南理工大学环境与能源学院,广州 510641
  • 沙青娥
  • 暨南大学环境与气候研究院,广州 510632
  • 毕琳琳
  • 华南理工大学环境与能源学院,广州 510641
  • 余宇帆
  • 广东环境保护工程职业学院,广州 510655
  • 胡鸣鸣
  • 暨南大学环境与气候研究院,广州 510632
  • 刘元向
  • 华南理工大学环境与能源学院,广州 510641
  • 陈诚
  • 暨南大学环境与气候研究院,广州 510632
  • 郑君瑜
  • 暨南大学环境与气候研究院,广州 510632
  • 摘要:中等挥发性有机物(Intermediate Volatility Organic Compounds,IVOCs)是二次有机气溶胶(SOA)的重要前体物.然而,当前我国IVOCs排放清单研究相对较少,现有研究大多采用基于IVOCs/POA比值法估算,导致IVOCs排放表征存在很高的不确定性.以移动源为研究对象,在优先采用本土实测的排放因子的基础上,构建了基于实测排放因子的广东省2019年移动源IVOCs排放清单,并与基于IVOCs/POA比值法建立的排放清单进行对比评估.结果显示:2019年广东省移动源IVOCs总排放量为2.1万t,其中,道路移动源IVOCs排放量为1.5万t,占总排放量的70%,主要来自柴油重货(33%)、柴油轻货(23%)、汽油小客(14%).其中,道路移动源IVOCs汽油车主要以国四、国五标准车型为主,分别占 汽油车排放的36%和49%,而柴油车主要以国三、国四标准车型为主,分别占柴油车排放的53%和28%.相比实测因子法,比值法计算的道路移动源IVOCs排放整体偏高了100%~200%,但计算的非道路移动源IVOCs排放整体偏低了近1/3.通过不确定性量化对比也发现,实测因子法建立的IVOCs排放清单不确定性整体比比值法平均降低了60%,表明实测排放因子能够提高IVOCs表征的可靠性.此外,本土和国外实测排放因子建立的道路移动源IVOCs排放也有明显差异,采用国外实测排放因子可能会导致广东省2019年道路移动源IVOCs排放低估30%~50%.
  • Abstract:Intermediate volatile organic compounds IVOCs are important precursors of secondary organic aerosols SOA. However, there have been relatively few studies focusing on IVOC emission inventories in China. Previous studies primarily used the IVOC/POA ratio to estimate IVOC emissions , resulting in high uncertainty in IVOC emission characterizations. To improve emission estimates, we developed an IVOC emission inventory of mobile sources in Guangdong Province in 2019 by preferentially using locally field-tested emission factors. The emission inventory was assessed by comparing it to the estimate based on IVOC/POA ratio and performing an uncertainty analysis. Total IVOC emissions from mobile sources in Guangdong Province in 2019 are 21.0 kilotons, with on-road mobile sources are 15.0 kilotons, accounting for 70% of total emissions, mainly from heavy-duty diesel vehicles 33%, light-duty diesel vehicles 23%, and light-duty gasoline vehicles 14%. IVOC emissions from gasoline vehicles are mainly dominated by national IV and National V standards, accounting for 36% and 49% of gasoline vehicle emissions respectively, while IVOC emissions from diesel vehicles are mainly dominated by National III and National IV standards, accounting for 53% and 28% of diesel vehicle emissions respectively. When compared to the field-tested emission factor method, IVOC emissions from on-road mobile sources calculated by the IVOC/POA ratio method are 100%,200% overestimated, but IVOC emissions from non-road mobile sources calculated by the IVOC/POA ratio method were nearly one-third underestimated. Quantitative uncertainty analysis also reveals that the uncertainty of IVOC emission inventory based on field-tested emission factor was reduced by 60% on average when compared to the IVOCs/POA ratio method, indicating that field-tested emission factors can improve the IVOC emission estimation. In addition, there is also a significant difference between the local and foreign field-tested emission factors of on-road mobile source IVOCs emissions, and the use of foreign field-tested emission factors may lead to the underestimation of on-road mobile source IVOCs emissions by 30% to 50% in Guangdong Province in 2019.

  • 摘要点击次数: 187 全文下载次数: 278