School of Atmospheric Sciences, Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China.
School of Atmospheric Sciences, Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China.
Sci Total Environ. 2021 Mar 20;761:143295. doi: 10.1016/j.scitotenv.2020.143295. Epub 2020 Nov 2.
An emission inventory of precursors is a prerequisite for the simulation of secondary organic aerosol (SOA), which could provide valuable information on the evolution of precursors, formation of SOA, and its influence on fine particle (PM) abundance, oxidative capacity, and climate change. However, an emission inventory of semi-volatile and intermediate volatility organic compounds (S/IVOCs), the key precursor of SOA, particularly the gridded inventory that is appropriate for input into regional air quality models, remains limited in China, leading to an incomplete understanding of S/IVOCs sources and roles in SOA formation and the atmospheric environment. Therefore, a gridded emission inventory of S/IVOCs in China for 2016 was developed based on ample source-specific measured data on emission ratios of S/IVOCs to primary organic aerosols (POA) from literatures. The total emission of S/IVOCs was estimated to be 9.6 Tg, and industry and residential sectors were major sources of S/IVOCs, with contributions of 48.0% and 30.2%, respectively. The spatial variations suggested that S/IVOC emissions were mainly distributed in the highly industrialized and urbanized regions in China, such as Beijing-Tianjin-Hebei (BTH), the Yangtze River Delta (YRD), the Pearl River Delta (PRD), and the Sichuan-Chongqing (SC) regions, though the contributions and temporal patterns varied between different regions. Furthermore, uncertainty of the emission inventory was estimated to be within the range of -66%-153%, which was mainly attributed to emission ratios of IVOCs/POA for industry, transportation, and power plants. The gridded emission inventory developed in this study can be used to estimate the emissions of S/IVOCs in different regions, and can be applied to different models for a better understanding of the environmental effects of S/IVOCs.
排放清单是模拟二次有机气溶胶(SOA)的前提条件,它可以提供有关前体物演变、SOA 形成及其对细颗粒物(PM)丰度、氧化能力和气候变化影响的有价值信息。然而,中国半挥发性和中等挥发性有机化合物(S/IVOCs)的排放清单,即 SOA 的关键前体物,特别是适合输入区域空气质量模型的网格化排放清单仍然有限,导致对 S/IVOCs 源及其在 SOA 形成和大气环境中的作用的认识不完整。因此,基于文献中 S/IVOCs 与一次有机气溶胶(POA)排放比的充足源特定测量数据,开发了 2016 年中国 S/IVOCs 的网格化排放清单。S/IVOCs 的总排放量估计为 9.6Tg,工业和住宅部门是 S/IVOCs 的主要来源,分别占 48.0%和 30.2%。空间变化表明,S/IVOC 排放主要分布在中国高度工业化和城市化的地区,如京津冀(BTH)、长江三角洲(YRD)、珠江三角洲(PRD)和四川-重庆(SC)地区,尽管不同地区的贡献和时间模式有所不同。此外,排放清单的不确定性估计在-66%至 153%的范围内,主要归因于工业、交通和电厂 IVOCs/POA 的排放比。本研究开发的网格化排放清单可用于估算不同地区 S/IVOCs 的排放量,并可应用于不同模型,以更好地了解 S/IVOCs 的环境影响。