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Huan Jing Ke Xue


Title:[Establishment and Spatial Distribution of S/IVOCs Emission Inventory in Jiangsu Province in 2019]
Author(s):Song TA; Zhang JY; Guan L; Hu JL; Yu XN;
Address:"Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China. Jiangsu Key Laboratory of High Technology for Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China"
Journal Title:Huan Jing Ke Xue
Year:2023
Volume:44
Issue:3
Page Number:1328 - 1335
DOI: 10.13227/j.hjkx.202203275
ISSN/ISBN:0250-3301 (Print) 0250-3301 (Linking)
Abstract:"The semi-/intermediate volatile organic compound (S/IVOCs) emissions inventory of Jiangsu province was established in 2019 using the activity data of various S/IVOCs emission sources, emission factors, and an estimation method. S/IVOCs emissions for each source and city in Jiangsu province were analyzed. The total amount of S/IVOCs emissions in Jiangsu province in 2019 was 637.31 Gg. Industrial sources were the major source of total S/IVOCs emissions accounting for 63.42% (404.20 Gg), followed by residential on-road mobile sources (22.23%), and off-road mobile sources accounted for the least (0.06%). Suzhou had the highest S/IVOCs emissions in 2019, accounting for 25.40% (161.86 Gg) of the total S/IVOCs emissions in Jiangsu province. The S/IVOCs emission intensity per unit area in Suzhou was the highest, reaching 18.70 t.km(-2), and the emission intensity per unit GDP was the highest in Lianyungang (22.45 t.100 million yuan(-1)). The spatial distribution map revealed that S/IVOCs emissions in southern Jiangsu were relatively higher. The difference in the total emission of S/IVOCs, emission intensity per unit area, and emission intensity per unit of GDP were quite different among cities. The uncertainty range of S/IVOCs emissions was -88.46%-224.38% in Jiangsu province in 2019. The uncertainty range of biomass burning sources was the largest (-96.40%-277.17%)"
Keywords:Jiangsu province emissions inventory intermediate volatile organic compounds (IVOCs) semi-volatile organic compounds (SVOCs) spatial characteristics;
Notes:"PubMed-not-MEDLINESong, Tong-Ai Zhang, Jia-Ying Guan, Lu Hu, Jian-Lin Yu, Xing-Na chi English Abstract China 2023/03/16 Huan Jing Ke Xue. 2023 Mar 8; 44(3):1328-1335. doi: 10.13227/j.hjkx.202203275"

 
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