Suppr超能文献

中国秦岭北麓大气一氧化碳(CO)和二氧化碳(CO₂)的垂直测量。 (注:原文中第二个CO应该是CO₂,不然表述有误)

Vertical measurements of atmospheric CO and CO at the northern foot of the Qinling Mountains in China.

作者信息

Liang Dan, Niu Zhenchuan, Zhou Weijian, Wang Guowei, Feng Xue, Lyu Mengni, Lu Xuefeng, Liu Wanyu, Qu Yao

机构信息

State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; Xi'an Institute for Innovative Earth Environment Research, Xi'an, China.

State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an 710049, China; Shaanxi Provincial Key Laboratory of Accelerator Mass Spectrometry Technology and Application, Xi'an AMS Center, Xi'an 710061, China; National Observation and Research Station of Regional Ecological Environment Change and Comprehensive Management in the Guanzhong Plain, Shaanxi, China.

出版信息

Sci Total Environ. 2024 Apr 20;922:171200. doi: 10.1016/j.scitotenv.2024.171200. Epub 2024 Feb 24.

Abstract

The CO and CO levels in air samples from the northern foot of the Qinling Mountains (Xi'an, China) were determined. In 2021, a hexacopter unmanned aerial vehicle sampled air at different heights, from near-ground to 2000 m. The objectives of this study were to determine vertical characteristics of CO and CO, the sources of different-height CO, and the influence of air mass transport. The CO concentrations mainly exhibited a slight decreasing trend with increasing height during summer observations, which was in contrast to the increasing trend that was followed by a subsequent gradual decreasing trend during early winter observations, with peak CO levels (443.4 ± 0.4-475.7 ± 0.5 ppm) at 100-500 m. The variation in vertical concentrations from 20 to 1000 m in early winter observations (21.6 ± 19.3 ppm) was greater than that in summer observations (14.6 ± 14.3 ppm), and the maximum vertical variation from 20 to ∼2000 m reached 61.1 ppm. Combining ΔC and δC vertical measurements, the results showed that fossil fuel CO (CO, 56.1 ± 15.2 %), which mainly come from coal combustion (81.2 ± 3.4 %), was the main contributor to CO levels in excess of the background level (CO) during early winter observations. In contrast, biological CO (CO) dominated CO in summer observations. The vertical distributions of CO in early winter observations and CO in summer observations were consistent with those of CO during early winter and summer observations, respectively. The strong correlation between winter CO and ΔCO (r = 0.81, p < 0.01) indicated that biomass burning was the main contributor to CO during early winter observations. Approximately half of the air masses originated from the Guanzhong Basin during observations. The results provide insights into the vertical distribution of different-sources of atmospheric CO in scientific support of formulating carbon emission-reduction strategies.

摘要

对秦岭北麓(中国西安)空气样本中的一氧化碳(CO)和二氧化碳(CO₂)水平进行了测定。2021年,一架六旋翼无人机在从近地面到2000米的不同高度采集空气样本。本研究的目的是确定CO和CO₂的垂直特征、不同高度CO的来源以及气团输送的影响。夏季观测期间,CO浓度主要呈现出随高度增加而略有下降的趋势,这与初冬观测期间先上升随后逐渐下降的趋势形成对比,CO峰值水平(443.4±0.4 - 475.7±0.5 ppm)出现在100 - 500米高度。初冬观测期间20至1000米高度的垂直浓度变化(21.6±19.3 ppm)大于夏季观测期间(14.6±14.3 ppm),20至约2000米的最大垂直变化达到61.1 ppm。结合Δ¹⁴C和δ¹³C垂直测量结果表明,化石燃料CO(CO₂,56.1±15.2%)主要来自煤炭燃烧(81.2±3.4%),是初冬观测期间超过背景水平(CO₂)的CO₂水平的主要贡献者。相比之下,夏季观测期间生物源CO(CO₂)占主导。初冬观测期间CO₂的垂直分布和夏季观测期间CO的垂直分布分别与初冬和夏季观测期间CO的垂直分布一致。冬季CO₂与Δ¹⁴CO₂之间的强相关性(r = 0.81,p < 0.01)表明生物质燃烧是初冬观测期间CO₂的主要贡献者。观测期间约一半的气团起源于关中盆地。这些结果为大气CO不同来源的垂直分布提供了见解,为制定碳排放减排策略提供科学支持。

相似文献

1
Vertical measurements of atmospheric CO and CO at the northern foot of the Qinling Mountains in China.
Sci Total Environ. 2024 Apr 20;922:171200. doi: 10.1016/j.scitotenv.2024.171200. Epub 2024 Feb 24.
2
Atmospheric CO and CO observations at the northern foot of the Qinling Mountains in China: Temporal characteristics and source quantification.
Sci Total Environ. 2024 Apr 10;920:170682. doi: 10.1016/j.scitotenv.2024.170682. Epub 2024 Feb 5.
3
Determining diurnal fossil fuel CO and biological CO by ΔCO observation on certain summer and winter days at Chinese background sites.
Sci Total Environ. 2020 May 20;718:136864. doi: 10.1016/j.scitotenv.2020.136864. Epub 2020 Jan 21.
4
Emission characteristics of atmospheric carbon dioxide in Xi'an, China based on the measurements of CO concentration, △C and δC.
Sci Total Environ. 2018 Apr 1;619-620:1163-1169. doi: 10.1016/j.scitotenv.2017.11.125. Epub 2017 Nov 29.
6
Tracing fossil fuel CO by C in maize leaves in Guanzhong Basin of China.
J Environ Manage. 2022 Dec 1;323:116286. doi: 10.1016/j.jenvman.2022.116286. Epub 2022 Sep 19.
7
Observations of Atmospheric ΔCO at the Global and Regional Background Sites in China: Implication for Fossil Fuel CO Inputs.
Environ Sci Technol. 2016 Nov 15;50(22):12122-12128. doi: 10.1021/acs.est.6b02814. Epub 2016 Nov 4.
8
Fossil fuel CO traced by radiocarbon in fifteen Chinese cities.
Sci Total Environ. 2020 Aug 10;729:138639. doi: 10.1016/j.scitotenv.2020.138639. Epub 2020 Apr 15.
9
C-AMS measurements in modern tree rings to trace local fossil fuel-derived CO in the greater Xi'an area, China.
Sci Total Environ. 2020 May 1;715:136669. doi: 10.1016/j.scitotenv.2020.136669. Epub 2020 Jan 13.
10
Atmospheric fossil fuel CO traced by CO and air quality index pollutant observations in Beijing and Xiamen, China.
Environ Sci Pollut Res Int. 2018 Jun;25(17):17109-17117. doi: 10.1007/s11356-018-1616-z. Epub 2018 Apr 11.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验