Fourier transform infrared time series of tropospheric HCN in eastern China: seasonality, interannual variability, and source attribution

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) spe...

Full description

Bibliographic Details
Published in:Atmospheric Chemistry and Physics
Main Authors: Sun, Youwen, Liu, Cheng, Zhang, Lin, Palm, Mathias, Notholt, Justus, Yin, Hao, Vigouroux, Corinne, Lutsch, Erik, Wang, Wei, Shan, Changong, Blumenstock, Thomas, Nagahama, Tomoo, Morino, Isamu, Mahieu, Emmanuel, Strong, Kimberly, Langerock, Bavo, Mazière, Martine, Hu, Qihou, Zhang, Huifang, Petri, Christof, Liu, Jianguo
Format: Text
Language:English
Published: 2020
Subjects:
Online Access:https://doi.org/10.5194/acp-20-5437-2020
https://www.atmos-chem-phys.net/20/5437/2020/
id ftcopernicus:oai:publications.copernicus.org:acp79265
record_format openpolar
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description 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 (31 ∘ 54 ′ N, 117 ∘ 10 ′ 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 <math xmlns="http://www.w3.org/1998/Math/MathML" id="M5" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>(</mo><mn mathvariant="normal">9.8</mn><mo>±</mo><mn mathvariant="normal">0.78</mn><mo>)</mo><mo>×</mo><msup><mn mathvariant="normal">10</mn><mn mathvariant="normal">15</mn></msup></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="90pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="aeb69ede97d4c25ad2e221c9b9278e89"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-20-5437-2020-ie00001.svg" width="90pt" height="15pt" src="acp-20-5437-2020-ie00001.png"/></svg:svg> molecules cm −2 in May and a minimum monthly mean of <math xmlns="http://www.w3.org/1998/Math/MathML" id="M7" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>(</mo><mn mathvariant="normal">7.16</mn><mo>±</mo><mn mathvariant="normal">0.75</mn><mo>)</mo><mo>×</mo><msup><mn mathvariant="normal">10</mn><mn mathvariant="normal">15</mn></msup></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="96pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="1b1b144d9e5c92d0bf7962da273d5876"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-20-5437-2020-ie00002.svg" width="96pt" height="15pt" src="acp-20-5437-2020-ie00002.png"/></svg:svg> molecules cm −2 in November. In most cases, the tropospheric HCN columns in Hefei (32 ∘ N) are higher than the FTIR observations in Ny-Ålesund (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 ( Δ HCN) is correlated with the concurrent enhancement of tropospheric CO ( Δ CO), 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) ( 41±13.1 %), Europe and boreal Asia (EUBA) ( 21±9.3 %), and Africa (AF) ( 22±4.7 %). The seasonal maxima in September are largely due to the influence of biomass burnings in EUBA ( 38±11.3 %), AF ( 26±6.7 %), SEAS ( 14±3.3 %), and North America (NA) ( 13.8±8.4 %). For the seasonal maxima in December, dominant contributions are from AF ( 36±7.1 %), EUBA ( 21±5.2 %), and NA ( 18.7±5.2 %). 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.
format Text
author Sun, Youwen
Liu, Cheng
Zhang, Lin
Palm, Mathias
Notholt, Justus
Yin, Hao
Vigouroux, Corinne
Lutsch, Erik
Wang, Wei
Shan, Changong
Blumenstock, Thomas
Nagahama, Tomoo
Morino, Isamu
Mahieu, Emmanuel
Strong, Kimberly
Langerock, Bavo
Mazière, Martine
Hu, Qihou
Zhang, Huifang
Petri, Christof
Liu, Jianguo
spellingShingle Sun, Youwen
Liu, Cheng
Zhang, Lin
Palm, Mathias
Notholt, Justus
Yin, Hao
Vigouroux, Corinne
Lutsch, Erik
Wang, Wei
Shan, Changong
Blumenstock, Thomas
Nagahama, Tomoo
Morino, Isamu
Mahieu, Emmanuel
Strong, Kimberly
Langerock, Bavo
Mazière, Martine
Hu, Qihou
Zhang, Huifang
Petri, Christof
Liu, Jianguo
Fourier transform infrared time series of tropospheric HCN in eastern China: seasonality, interannual variability, and source attribution
author_facet Sun, Youwen
Liu, Cheng
Zhang, Lin
Palm, Mathias
Notholt, Justus
Yin, Hao
Vigouroux, Corinne
Lutsch, Erik
Wang, Wei
Shan, Changong
Blumenstock, Thomas
Nagahama, Tomoo
Morino, Isamu
Mahieu, Emmanuel
Strong, Kimberly
Langerock, Bavo
Mazière, Martine
Hu, Qihou
Zhang, Huifang
Petri, Christof
Liu, Jianguo
author_sort Sun, Youwen
title Fourier transform infrared time series of tropospheric HCN in eastern China: seasonality, interannual variability, and source attribution
title_short Fourier transform infrared time series of tropospheric HCN in eastern China: seasonality, interannual variability, and source attribution
title_full Fourier transform infrared time series of tropospheric HCN in eastern China: seasonality, interannual variability, and source attribution
title_fullStr Fourier transform infrared time series of tropospheric HCN in eastern China: seasonality, interannual variability, and source attribution
title_full_unstemmed Fourier transform infrared time series of tropospheric HCN in eastern China: seasonality, interannual variability, and source attribution
title_sort fourier transform infrared time series of tropospheric hcn in eastern china: seasonality, interannual variability, and source attribution
publishDate 2020
url https://doi.org/10.5194/acp-20-5437-2020
https://www.atmos-chem-phys.net/20/5437/2020/
long_lat ENVELOPE(166.650,166.650,-77.817,-77.817)
geographic Arrival Heights
Kiruna
Ny-Ålesund
geographic_facet Arrival Heights
Kiruna
Ny-Ålesund
genre Kiruna
Ny Ålesund
Ny-Ålesund
genre_facet Kiruna
Ny Ålesund
Ny-Ålesund
op_source eISSN: 1680-7324
op_relation doi:10.5194/acp-20-5437-2020
https://www.atmos-chem-phys.net/20/5437/2020/
op_doi https://doi.org/10.5194/acp-20-5437-2020
container_title Atmospheric Chemistry and Physics
container_volume 20
container_issue 9
container_start_page 5437
op_container_end_page 5456
_version_ 1766058466754953216
spelling ftcopernicus:oai:publications.copernicus.org:acp79265 2023-05-15T17:04:23+02:00 Fourier transform infrared time series of tropospheric HCN in eastern China: seasonality, interannual variability, and source attribution Sun, Youwen Liu, Cheng Zhang, Lin Palm, Mathias Notholt, Justus Yin, Hao Vigouroux, Corinne Lutsch, Erik Wang, Wei Shan, Changong Blumenstock, Thomas Nagahama, Tomoo Morino, Isamu Mahieu, Emmanuel Strong, Kimberly Langerock, Bavo Mazière, Martine Hu, Qihou Zhang, Huifang Petri, Christof Liu, Jianguo 2020-05-11 application/pdf https://doi.org/10.5194/acp-20-5437-2020 https://www.atmos-chem-phys.net/20/5437/2020/ eng eng doi:10.5194/acp-20-5437-2020 https://www.atmos-chem-phys.net/20/5437/2020/ eISSN: 1680-7324 Text 2020 ftcopernicus https://doi.org/10.5194/acp-20-5437-2020 2020-05-18T16:22:01Z 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 (31 ∘ 54 ′ N, 117 ∘ 10 ′ 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 <math xmlns="http://www.w3.org/1998/Math/MathML" id="M5" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>(</mo><mn mathvariant="normal">9.8</mn><mo>±</mo><mn mathvariant="normal">0.78</mn><mo>)</mo><mo>×</mo><msup><mn mathvariant="normal">10</mn><mn mathvariant="normal">15</mn></msup></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="90pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="aeb69ede97d4c25ad2e221c9b9278e89"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-20-5437-2020-ie00001.svg" width="90pt" height="15pt" src="acp-20-5437-2020-ie00001.png"/></svg:svg> molecules cm −2 in May and a minimum monthly mean of <math xmlns="http://www.w3.org/1998/Math/MathML" id="M7" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>(</mo><mn mathvariant="normal">7.16</mn><mo>±</mo><mn mathvariant="normal">0.75</mn><mo>)</mo><mo>×</mo><msup><mn mathvariant="normal">10</mn><mn mathvariant="normal">15</mn></msup></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="96pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="1b1b144d9e5c92d0bf7962da273d5876"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-20-5437-2020-ie00002.svg" width="96pt" height="15pt" src="acp-20-5437-2020-ie00002.png"/></svg:svg> molecules cm −2 in November. In most cases, the tropospheric HCN columns in Hefei (32 ∘ N) are higher than the FTIR observations in Ny-Ålesund (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 ( Δ HCN) is correlated with the concurrent enhancement of tropospheric CO ( Δ CO), 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) ( 41±13.1 %), Europe and boreal Asia (EUBA) ( 21±9.3 %), and Africa (AF) ( 22±4.7 %). The seasonal maxima in September are largely due to the influence of biomass burnings in EUBA ( 38±11.3 %), AF ( 26±6.7 %), SEAS ( 14±3.3 %), and North America (NA) ( 13.8±8.4 %). For the seasonal maxima in December, dominant contributions are from AF ( 36±7.1 %), EUBA ( 21±5.2 %), and NA ( 18.7±5.2 %). 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. Text Kiruna Ny Ålesund Ny-Ålesund Copernicus Publications: E-Journals Arrival Heights ENVELOPE(166.650,166.650,-77.817,-77.817) Kiruna Ny-Ålesund Atmospheric Chemistry and Physics 20 9 5437 5456