A gridded emission inventory of semi-volatile and intermediate volatility organic compounds in China

被引:34
|
作者
Wu, Liqing [1 ,2 ]
Ling, Zhenhao [1 ,2 ]
Liu, Huan [3 ]
Shao, Min [4 ]
Lu, Sihua [5 ]
Wu, Luolin [1 ,2 ]
Wang, Xuemei [3 ]
机构
[1] Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Zhuhai 519082, Peoples R China
[2] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China
[3] Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100084, Peoples R China
[4] Jinan Univ, Inst Environm & Climate Res, Guangzhou 510632, Peoples R China
[5] Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China
基金
中国国家自然科学基金;
关键词
Semi-volatile and intermediate volatility organic compounds; Updated emission inventory; Uncertainties; China; PEARL RIVER DELTA; SPATIAL CHARACTERISTICS; ANTHROPOGENIC EMISSION; CARBONACEOUS PARTICLES; CHEMICAL-COMPOSITION; AEROSOL EMISSIONS; SHIP EMISSIONS; AIR-QUALITY; RESOLUTION; GASOLINE;
D O I
10.1016/j.scitotenv.2020.143295
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 BeijingTianjin-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. (C) 2020 Elsevier B.V. All rights reserved.
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页数:13
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