气候变化领域集成服务门户(CCPortal): Source apportionment of black carbon aerosols from light absorption observation and source-oriented modeling: An implication in a coastal city in China

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DOI	10.5194/acp-20-14419-2020
	Source apportionment of black carbon aerosols from light absorption observation and source-oriented modeling: An implication in a coastal city in China
	Deng J.; Guo H.; Zhang H.; Zhu J.; Wang X.; Fu P.
发表日期	2020
ISSN	1680-7316
起始页码	14419
结束页码	14435
卷号	20 期号:22
英文摘要	Black carbon (BC) is the most important light-absorbing aerosol in the atmosphere. However, sources of atmospheric BC aerosols are largely uncertain, making it difficult to assess its influence on radiative forcing and climate change. In this study, year-round light-absorption observations were conducted during 2014 using an aethalometer in Xiamen, a coastal city in Southeast China. Source apportionment of BC was performed and temporal variations in BC sources were characterized based on both light absorption measurements and a source-oriented air quality model. The annual average concentrations of BC from fossil fuel (BCff) and biomass burning (BCbb) by the aethalometer method were 2932 ± 1444 ng m-3and 1340 ± 542 ng m-3, contributing 66.7 % and 33.3 % to total BC, respectively. A sensitivity analysis was performed with different absorption Ångström exponent (AAE) values of fossil fuel combustion (αff) and biomass burning (αbb), suggesting that the aethalometer method was more sensitive to changes in αbb than αff. BCbb contribution exhibited a clear diurnal cycle, with the highest level (37.9 %) in the evening rush hour and a seasonal pattern with the maximum (39.9 %) in winter. Conditional probability function (CPF) analysis revealed the large biomass-burning contributions were accompanied by east-northeasterly and northerly winds. Backward trajectory indicated that air masses from North and East-Central China were associated with larger biomass-burning contributions. Potential source contribution function (PSCF) and concentration-weighted trajectory (CWT) suggested that North and East-Central China and Southeast Asia were potential sources of both BCff and BCbb. The source-oriented modeling results showed that transportation, residential and open biomass burning accounting for 45.3 %, 30.1 % and 17.6 % were the major BC sources. Among the three fuel catalogs, liquid fossil fuel (46.5 %) was the largest source, followed by biomass burning (32.6 %) and coal combustion (20.9 %). Source contributions of fossil fuel combustion and biomass burning identified by the source-oriented model were 67.4 % and 32.6 %, respectively, close to those obtained by the aethalometer method. The findings provide solid support for controlling fossil fuel sources to limit the impacts of BC on climate change and environmental degradation in the relatively clean region in China. © 2020 Copernicus GmbH. All rights reserved.
语种	英语
scopus关键词	absorption; aerosol; air quality; biomass burning; black carbon; climate change; coastal zone; source apportionment; spatiotemporal analysis; China; Fujian; Xiamen
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/247334
作者单位	Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, 300072, China; Department of Earth System Science, University of California, Irvine, CA 92697-3100, United States; Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
推荐引用方式 GB/T 7714	Deng J.,Guo H.,Zhang H.,et al. Source apportionment of black carbon aerosols from light absorption observation and source-oriented modeling: An implication in a coastal city in China[J],2020,20(22).
APA	Deng J.,Guo H.,Zhang H.,Zhu J.,Wang X.,&Fu P..(2020).Source apportionment of black carbon aerosols from light absorption observation and source-oriented modeling: An implication in a coastal city in China.ATMOSPHERIC CHEMISTRY AND PHYSICS,20(22).
MLA	Deng J.,et al."Source apportionment of black carbon aerosols from light absorption observation and source-oriented modeling: An implication in a coastal city in China".ATMOSPHERIC CHEMISTRY AND PHYSICS 20.22(2020).