Preprints
https://doi.org/10.5194/acp-2022-354
https://doi.org/10.5194/acp-2022-354
23 Jun 2022
 | 23 Jun 2022
Status: this preprint was under review for the journal ACP but the revision was not accepted.

Variations and correlations of CO, C2H2, C2H6, H2CO and HCN columns derived from three years of ground-based FTIR measurements at Xianghe, China

Minqiang Zhou, Bavo Langerock, Pucai Wang, Corinne Vigouroux, Qichen Ni, Christian Hermans, Bart Dils, Nicolas Kumps, Weidong Nan, and Martine De Mazière

Abstract. Carbon monoxide (CO), acetylene (C2H2), ethane (C2H6), formaldehyde (H2CO), and hydrogen cyanide (HCN) are important trace gases in the atmosphere. They are highly related to biomass burning, fossil fuel combustion, and biogenic emissions, affecting air quality and climate change. Mid-infrared high spectral resolution solar-absorption spectra are continuously recorded by a Fourier-transform infrared (FTIR) spectrometer (Bruker IFS 125HR) at Xianghe (39.75° N, 116.96° E), China. In this study, we use the SFIT4 code to retrieve these five species from the FTIR spectra measured between June 2018 and November 2021. The retrieval strategies, retrieval information, and uncertainties are presented and discussed. For the first time, the time series, variations, and correlations of these five species are analyzed in North China. The seasonal variations of C2H2 and C2H6 total columns show a maximum in winter-spring and a minimum in autumn, whereas the seasonal variations of H2CO and HCN show a maximum in summer and a minimum in winter. Unlike the other four species, there is almost no seasonal variation of the CO total column. Using the monthly means as the background, the synoptic variations of these species are investigated as well. The FTIR measurements at Xianghe reveal high correlations among these species, indicating that they are affected by common sources. The correlation coefficients (R) between CO and the other four species (C2H2, C2H6, H2CO, and HCN) are between 0.68 and 0.80. The FLEXible PARTicle dispersion model (FLEXPART) v10.4 backward simulations are used to understand the airmass sources observed at Xianghe, and it is found that the high column abundances are coming mainly from local anthropogenic emissions. Using satellite measurements, we show that the boreal forest fire emissions in Russia can lead to enhanced HCN total columns at Xianghe.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Minqiang Zhou, Bavo Langerock, Pucai Wang, Corinne Vigouroux, Qichen Ni, Christian Hermans, Bart Dils, Nicolas Kumps, Weidong Nan, and Martine De Mazière

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-354', Anonymous Referee #1, 03 Jul 2022
  • RC2: 'Comment on acp-2022-354', Anonymous Referee #2, 23 Jul 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-354', Anonymous Referee #1, 03 Jul 2022
  • RC2: 'Comment on acp-2022-354', Anonymous Referee #2, 23 Jul 2022
Minqiang Zhou, Bavo Langerock, Pucai Wang, Corinne Vigouroux, Qichen Ni, Christian Hermans, Bart Dils, Nicolas Kumps, Weidong Nan, and Martine De Mazière
Minqiang Zhou, Bavo Langerock, Pucai Wang, Corinne Vigouroux, Qichen Ni, Christian Hermans, Bart Dils, Nicolas Kumps, Weidong Nan, and Martine De Mazière

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Short summary
The ground-based FTIR measurements at Xianghe provide carbon monoxide (CO), acetylene (C2H2), ethane (C2H6), formaldehyde (H2CO), and hydrogen cyanide (HCN) total columns between June 2018 and November 2021. The retrieval strategies, retrieval information, and uncertainties of these five important trace gases are presented and discussed. This study provides an insight into the time series, variations, and correlations of these five species in North China.
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