A gridded emission inventory of semi-volatile and intermediate volatility organic compounds in China.
A gridded emission inventory of semi-volatile and intermediate volatility organic compounds in China.
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DOI：
10.1016/j.scitotenv.2020.143295
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发表时间：
2020-11
期刊：
影响因子：
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通讯作者：
Liqing Wu;Z. Ling;Huan Liu;M. Shao;Si-hua Lu;Luolin Wu;Xuemei Wang
中科院分区：
文献类型：
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作者：
Liqing Wu;Z. Ling;Huan Liu;M. Shao;Si-hua Lu;Luolin Wu;Xuemei Wang
前体排放清单是模拟二次有机气溶胶(SOA)的先决条件，它可以提供关于前体的演化、SOA的形成及其对细颗粒物(PM2.5)丰度、氧化能力和气候变化的影响的有价值的信息。然而，中国的半挥发性和中挥发性有机化合物(S/IVOCs)排放清单，特别是适合输入区域空气质量模式的网格清单，仍然有限，导致对S/IVOCs的来源和在SOA形成和大气环境中的作用认识不全面。因此，基于文献中大量的S/IVOCs与初级有机气溶胶(POA)排放比的测量数据，建立了2016年S/IVOCs/IVOCs的网格排放清单。S/IVOCs的总排放量为9.6Tg，工业和居民部门是S/IVOCs的主要来源，贡献率分别为48.0%和30.2%。空间差异表明，S/有机碳排放量主要分布在中国的高度工业化和城市化地区，如京津冀、长三角、珠江三角洲和川渝地区，但不同地区的贡献和时间模式有所不同。此外，排放清单的不确定度估计在−66%-153%的范围内，这主要归因于工业、交通和发电厂的IVOCs/POA排放比。本研究开发的网格排放清单可用于估算不同地区S/IVOCs的排放量，并可应用于不同的模型，以更好地了解S/IVOCs的环境效应。
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 (PM2.5) 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.