气候变化领域集成服务门户(CCPortal): Fourier transform infrared time series of tropospheric HCN in eastern China: Seasonality, interannual variability, and source attribution

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DOI	10.5194/acp-20-5437-2020
	Fourier transform infrared time series of tropospheric HCN in eastern China: Seasonality, interannual variability, and source attribution
	Sun Y.; Liu C.; Zhang L.; Palm M.; Notholt J.; Yin H.; Vigouroux C.; Lutsch E.; Wang W.; Shan C.; Blumenstock T.; Nagahama T.; Morino I.; Mahieu E.; Strong K.; Langerock B.; De Mazière M.; Hu Q.; Zhang H.; Petri C.; Liu J.
发表日期	2020
ISSN	16807316
起始页码	5437
结束页码	5456
卷号	20 期号:9
英文摘要	We analyzed seasonality and interannual variability of tropospheric hydrogen cyanide (HCN) columns in densely populated eastern China for the first time. The results were derived from solar absorption spectra recorded with a ground-based high-spectral-resolution Fourier transform infrared (FTIR) spectrometer in Hefei (31540 N, 117100 E) between 2015 and 2018. The tropospheric HCN columns over Hefei, China, showed significant seasonal variations with three monthly mean peaks throughout the year. The magnitude of the tropospheric HCN column peaked in May, September, and December. The tropospheric HCN column reached a maximum monthly mean of .9:80:78/ 1015 molecules cm-2 in May and a minimum monthly mean of .7:160:75/1015 molecules cm-2 in November. In most cases, the tropospheric HCN columns in Hefei (32 N) are higher than the FTIR observations in Ny-lesund (79 N), Kiruna (68 N), Bremen (53 N), Jungfraujoch (47 N), Toronto (44 N), Rikubetsu (43 N), Izana (28 N), Mauna Loa (20 N), La Reunion Maido (21 S), Lauder (45 S), and Arrival Heights (78 S) that are affiliated with the Network for Detection of Atmospheric Composition Change (NDACC). Enhancements of tropospheric HCN column were observed between September 2015 and July 2016 compared to the same period of measurements in other years. The magnitude of the enhancement ranges from 5% to 46% with an average of 22 %. Enhancement of tropospheric HCN (1HCN) is correlated with the concurrent enhancement of tropospheric CO (1CO), indicating that enhancements of tropospheric CO and HCN were due to the same sources. The GEOS-Chem tagged CO simulation, the global fire maps, and the potential source contribution function (PSCF) values calculated using back trajectories revealed that the seasonal maxima in May are largely due to the influence of biomass burning in Southeast Asia (SEAS) (4113:1 %), Europe and boreal Asia (EUBA) (219:3 %), and Africa (AF) (224:7 %). The seasonal maxima in September are largely due to the influence of biomass burnings in EUBA (3811:3 %), AF (266:7 %), SEAS (143:3 %), and North America (NA) (13:88:4 %). For the seasonal maxima in December, dominant contributions are from AF (367:1 %), EUBA (215:2 %), and NA (18:75:2 %). The tropospheric HCN enhancement between September 2015 and July 2016 at Hefei (32 N) was attributed to an elevated influence of biomass burnings in SEAS, EUBA, and Oceania (OCE) in this period. In particular, an elevated number of fires in OCE in the second half of 2015 dominated the tropospheric HCN enhancement between September and December 2015. An elevated number of fires in SEAS in the first half of 2016 dominated the tropospheric HCN enhancement between January and July 2016. © 2020 BMJ Publishing Group. All rights reserved.
语种	英语
scopus关键词	annual variation; atmospheric pollution; biomass burning; carbon monoxide; correlation; cyanide; FTIR spectroscopy; ground-based measurement; hydrogen; seasonal variation; seasonality; time series analysis; troposphere; Anhui; China; Hefei
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/152907
作者单位	Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei, 230031, China; Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; University of Science and Technology of China, Hefei, 230026, China; Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, University of Science and Technology of China, Hefei, 230026, China; Anhui Province Key Laboratory of Polar Environment and Global Change, USTC, Hefei, 230026, China; Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, 100871, China; Institute of Environmental Physics, University of Bremen, P.O. Box 330440, Bremen, 28334, Germany; Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium; Department of Physics, University of Toronto, Toront...
推荐引用方式 GB/T 7714	Sun Y.,Liu C.,Zhang L.,et al. Fourier transform infrared time series of tropospheric HCN in eastern China: Seasonality, interannual variability, and source attribution[J],2020,20(9).
APA	Sun Y..,Liu C..,Zhang L..,Palm M..,Notholt J..,...&Liu J..(2020).Fourier transform infrared time series of tropospheric HCN in eastern China: Seasonality, interannual variability, and source attribution.Atmospheric Chemistry and Physics,20(9).
MLA	Sun Y.,et al."Fourier transform infrared time series of tropospheric HCN in eastern China: Seasonality, interannual variability, and source attribution".Atmospheric Chemistry and Physics 20.9(2020).