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Analysis of Atmospheric CO(2) and CO at Akedala Atmospheric Background Observation Station, a Regional Station in Northwestern China
Air samples were collected by flasks and analyzed via a Picarro G2401 gas analyzer for carbon dioxide (CO(2)) and carbon monoxide (CO) at the Akedala Atmospheric Background Station in Xinjiang, China, from September 2009 to December 2019, to analyze the changes in the characteristics of atmospheric...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180019/ https://www.ncbi.nlm.nih.gov/pubmed/35682532 http://dx.doi.org/10.3390/ijerph19116948 |
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author | Zhao, Zhujun He, Qing Lu, Zhongqi Zhao, Quanwei Wang, Jianlin |
author_facet | Zhao, Zhujun He, Qing Lu, Zhongqi Zhao, Quanwei Wang, Jianlin |
author_sort | Zhao, Zhujun |
collection | PubMed |
description | Air samples were collected by flasks and analyzed via a Picarro G2401 gas analyzer for carbon dioxide (CO(2)) and carbon monoxide (CO) at the Akedala Atmospheric Background Station in Xinjiang, China, from September 2009 to December 2019, to analyze the changes in the characteristics of atmospheric CO(2) and CO and determine the sources. The results show that the annual average CO(2) concentration showed an increasing trend (growth rate: 1.90 ppm year(−1)), ranging from 389.80 to 410.43 ppm, and the annual average CO concentration also showed an increasing trend (growth rate: 1.78 ppb year(−1)), ranging from 136.30 to 189.82 ppb. The CO(2) concentration and growth rate were the highest in winter, followed by autumn, spring, and summer. The CO concentration and growth rate were also the highest in winter due to anthropogenic emissions, ecosystem effects, and diffusion conditions. The main trajectories of CO(2) and CO determined by the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model were parallel to the Irtysh River valley and then passed through the Old Wind Pass. Furthermore, the main source regions of CO(2) and CO at the Akedala Station were eastern Kazakhstan, southern Russia, western Mongolia, and the Xinjiang Tianshan North Slope Economic Zone of China. This study reflects the characteristics of long-term changes in CO(2) and CO concentrations at the Akedala station and provides fundamental data for the studies on environmental changes and climate change in Central Asia. |
format | Online Article Text |
id | pubmed-9180019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91800192022-06-10 Analysis of Atmospheric CO(2) and CO at Akedala Atmospheric Background Observation Station, a Regional Station in Northwestern China Zhao, Zhujun He, Qing Lu, Zhongqi Zhao, Quanwei Wang, Jianlin Int J Environ Res Public Health Article Air samples were collected by flasks and analyzed via a Picarro G2401 gas analyzer for carbon dioxide (CO(2)) and carbon monoxide (CO) at the Akedala Atmospheric Background Station in Xinjiang, China, from September 2009 to December 2019, to analyze the changes in the characteristics of atmospheric CO(2) and CO and determine the sources. The results show that the annual average CO(2) concentration showed an increasing trend (growth rate: 1.90 ppm year(−1)), ranging from 389.80 to 410.43 ppm, and the annual average CO concentration also showed an increasing trend (growth rate: 1.78 ppb year(−1)), ranging from 136.30 to 189.82 ppb. The CO(2) concentration and growth rate were the highest in winter, followed by autumn, spring, and summer. The CO concentration and growth rate were also the highest in winter due to anthropogenic emissions, ecosystem effects, and diffusion conditions. The main trajectories of CO(2) and CO determined by the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model were parallel to the Irtysh River valley and then passed through the Old Wind Pass. Furthermore, the main source regions of CO(2) and CO at the Akedala Station were eastern Kazakhstan, southern Russia, western Mongolia, and the Xinjiang Tianshan North Slope Economic Zone of China. This study reflects the characteristics of long-term changes in CO(2) and CO concentrations at the Akedala station and provides fundamental data for the studies on environmental changes and climate change in Central Asia. MDPI 2022-06-06 /pmc/articles/PMC9180019/ /pubmed/35682532 http://dx.doi.org/10.3390/ijerph19116948 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhao, Zhujun He, Qing Lu, Zhongqi Zhao, Quanwei Wang, Jianlin Analysis of Atmospheric CO(2) and CO at Akedala Atmospheric Background Observation Station, a Regional Station in Northwestern China |
title | Analysis of Atmospheric CO(2) and CO at Akedala Atmospheric Background Observation Station, a Regional Station in Northwestern China |
title_full | Analysis of Atmospheric CO(2) and CO at Akedala Atmospheric Background Observation Station, a Regional Station in Northwestern China |
title_fullStr | Analysis of Atmospheric CO(2) and CO at Akedala Atmospheric Background Observation Station, a Regional Station in Northwestern China |
title_full_unstemmed | Analysis of Atmospheric CO(2) and CO at Akedala Atmospheric Background Observation Station, a Regional Station in Northwestern China |
title_short | Analysis of Atmospheric CO(2) and CO at Akedala Atmospheric Background Observation Station, a Regional Station in Northwestern China |
title_sort | analysis of atmospheric co(2) and co at akedala atmospheric background observation station, a regional station in northwestern china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180019/ https://www.ncbi.nlm.nih.gov/pubmed/35682532 http://dx.doi.org/10.3390/ijerph19116948 |
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