Factors contributing to spatial–temporal variations of observed oxygen concentration over the Qinghai-Tibetan Plateau

Abstract Oxygen (O2) is the most abundant molecule in the atmosphere after nitrogen. Previous studies have documented that oxygen concentration remains nearly constant (20.946%) at all altitudes. Here we show for the first time that oxygen concentration varies significantly from earlier consensus an...

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Autores principales: Peijun Shi, Yanqiang Chen, Gangfeng Zhang, Haiping Tang, Zhi Chen, Deyong Yu, Jing Yang, Tao Ye, Jing’ai Wang, Shunlin Liang, Yonggui Ma, Jidong Wu, Peng Gong
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:bbcc79b224174a45b7fe0b6a5f3dccc02021-12-02T17:51:11ZFactors contributing to spatial–temporal variations of observed oxygen concentration over the Qinghai-Tibetan Plateau10.1038/s41598-021-96741-62045-2322https://doaj.org/article/bbcc79b224174a45b7fe0b6a5f3dccc02021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96741-6https://doaj.org/toc/2045-2322Abstract Oxygen (O2) is the most abundant molecule in the atmosphere after nitrogen. Previous studies have documented that oxygen concentration remains nearly constant (20.946%) at all altitudes. Here we show for the first time that oxygen concentration varies significantly from earlier consensus and shows strong spatial and seasonal differences. Field observations on the Qinghai-Tibetan Plateau (QTP) indicate oxygen concentration of 19.94–20.66% (2018, n = 80), 19.98–20.78% (2019, n = 166) and 19.97–20.73% (2020, n = 176), all statistically different from earlier reports (p < 0.001) and are lower than the nearly constant. The mean oxygen concentration in summer (20.47%) is 0.31% higher than that of winter (20.16%) (n = 53) at identical locations in 2019, sampled in the Qilian Mountains, northwest QTP. We used LMG (The Lindeman, Merenda and Gold) method to estimate the relative contributions of altitude, air temperature and vegetation index (Fractional Vegetation Cover, FVC and Leaf Area Index, LAI) to oxygen concentration, which are 47%, 32% and 3% (FVC, R2 = 82%); 45%, 30% and 7% (LAI, R2 = 82%), respectively. These findings provide a new perspective for in-depth understanding on population risk in high altitude regions in the context of global climate change, to ensure the health and safety of residents and tourists in high altitude regions and promoting the stability, prosperity and sustainable development of high-altitude regions worldwide.Peijun ShiYanqiang ChenGangfeng ZhangHaiping TangZhi ChenDeyong YuJing YangTao YeJing’ai WangShunlin LiangYonggui MaJidong WuPeng GongNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Peijun Shi
Yanqiang Chen
Gangfeng Zhang
Haiping Tang
Zhi Chen
Deyong Yu
Jing Yang
Tao Ye
Jing’ai Wang
Shunlin Liang
Yonggui Ma
Jidong Wu
Peng Gong
Factors contributing to spatial–temporal variations of observed oxygen concentration over the Qinghai-Tibetan Plateau
description Abstract Oxygen (O2) is the most abundant molecule in the atmosphere after nitrogen. Previous studies have documented that oxygen concentration remains nearly constant (20.946%) at all altitudes. Here we show for the first time that oxygen concentration varies significantly from earlier consensus and shows strong spatial and seasonal differences. Field observations on the Qinghai-Tibetan Plateau (QTP) indicate oxygen concentration of 19.94–20.66% (2018, n = 80), 19.98–20.78% (2019, n = 166) and 19.97–20.73% (2020, n = 176), all statistically different from earlier reports (p < 0.001) and are lower than the nearly constant. The mean oxygen concentration in summer (20.47%) is 0.31% higher than that of winter (20.16%) (n = 53) at identical locations in 2019, sampled in the Qilian Mountains, northwest QTP. We used LMG (The Lindeman, Merenda and Gold) method to estimate the relative contributions of altitude, air temperature and vegetation index (Fractional Vegetation Cover, FVC and Leaf Area Index, LAI) to oxygen concentration, which are 47%, 32% and 3% (FVC, R2 = 82%); 45%, 30% and 7% (LAI, R2 = 82%), respectively. These findings provide a new perspective for in-depth understanding on population risk in high altitude regions in the context of global climate change, to ensure the health and safety of residents and tourists in high altitude regions and promoting the stability, prosperity and sustainable development of high-altitude regions worldwide.
format article
author Peijun Shi
Yanqiang Chen
Gangfeng Zhang
Haiping Tang
Zhi Chen
Deyong Yu
Jing Yang
Tao Ye
Jing’ai Wang
Shunlin Liang
Yonggui Ma
Jidong Wu
Peng Gong
author_facet Peijun Shi
Yanqiang Chen
Gangfeng Zhang
Haiping Tang
Zhi Chen
Deyong Yu
Jing Yang
Tao Ye
Jing’ai Wang
Shunlin Liang
Yonggui Ma
Jidong Wu
Peng Gong
author_sort Peijun Shi
title Factors contributing to spatial–temporal variations of observed oxygen concentration over the Qinghai-Tibetan Plateau
title_short Factors contributing to spatial–temporal variations of observed oxygen concentration over the Qinghai-Tibetan Plateau
title_full Factors contributing to spatial–temporal variations of observed oxygen concentration over the Qinghai-Tibetan Plateau
title_fullStr Factors contributing to spatial–temporal variations of observed oxygen concentration over the Qinghai-Tibetan Plateau
title_full_unstemmed Factors contributing to spatial–temporal variations of observed oxygen concentration over the Qinghai-Tibetan Plateau
title_sort factors contributing to spatial–temporal variations of observed oxygen concentration over the qinghai-tibetan plateau
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/bbcc79b224174a45b7fe0b6a5f3dccc0
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