地球科学进展

地球科学进展 >

2023 , Vol. 38 >Issue 7: 715 - 728

DOI: https://doi.org/10.11867/j.issn.1001-8166.2023.035

研究论文

典型工业城市兰州市大气氧气的高精度观测研究

  • 王莉 ,
  • 刘晓岳 ,
  • 黄建平
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  • 1.兰州大学西部生态安全省部共建协同创新中心，甘肃 兰州 730000
    2.兰州大学半干旱 气候变化教育部重点实验室，兰州大学大气科学学院，甘肃 兰州 730000
王莉（1989-），女，甘肃白银人，实验师，主要从事大气氧观测研究. E-mail：w_l@lzu.edu.cn
黄建平（1962-），男，福建漳平人，教授，中国科学院院士，主要从事半干旱气候变化研究. E-mail：hjp@lzu.edu.cn

收稿日期: 2023-03-01

  修回日期: 2023-05-31

  网络出版日期: 2023-07-19

基金资助

国家自然科学基金项目“干旱半干旱地区气候变化及其水循环效应”(41991231);甘肃省青年科技基金项目“兰州地区大气颗粒物及臭氧的时空分布特征及其重污染时段成因与模拟分析”(21JR7RA528)

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High-precision Observation of Atmospheric Oxygen in a Typical Industrial City of Lanzhou

  • Li WANG ,
  • Xiaoyue LIU ,
  • Jianping HUANG
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  • 1.Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou 730000, China
    2.Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric and Sciences, Lanzhou University, Lanzhou 730000, China
WANG Li (1989-), female, Baiyin City, Gansu Province, Laboratory technician. Research area includes atmospheric oxygen observation. E-mail: w_l@lzu.edu.cn
HUANG Jianping (1962-), male, Zhangping City, Fujian Province, Professor, Academician of the Chinese Academy of Sciences. Research areas include climate change in semi-arid regions. E-mail: hjp@lzu.edu.cn

Received date: 2023-03-01

  Revised date: 2023-05-31

  Online published: 2023-07-19

Supported by

the National Natural Science Foundation of China “Climate change in arid and semi-arid regions and its effects on hydrologic cycle”(41991231);Youth Science and Technology Fund Project of Gansu Province of China “Temporal and spatial distribution characteristics of atmospheric particulates and ozone in Lanzhou and the causes and simulation analysis of heavy pollution period”(21JR7RA528)

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摘要

人类活动对城市区域的空气含氧量产生了显著的影响，这种改变已经对区域范围内的大气氧平衡构成了威胁。但是城市大气O2的相关研究仍然薄弱，无法对城市O2变化机制做出系统评估。因此，在城市区域进行大气O2的长期观测具有重要意义。详细介绍了兰州市在线大气氧观测平台的基本情况，该平台是国内首个大气O2原位高精度连续观测平台。平台采用气相色谱仪—热导检测器（GC-TCD）来测量大气中O2含量，并构建了一种基于XGBoost模型的数据订正方法。通过使用这种方法，成功地减小了大气O2观测数据的系统误差，使得订正后的测量结果的误差明显减小至-0.68 μmol/mol。观测结果表明，大气中O2呈现明显的季节性和日变化特征，且大气O2与城市人类活动指标（NO x ）之间存在良好的对应关系。该平台能够在高背景下检测到大气O2的微变化，为城市大气O2相关研究提供关键的数据支持。由于碳氧循环紧密相关，大气O2的长期观测可为有效制定因地制宜的“双碳”现实路径提供科学依据。

关键词： 大气氧观测; 兰州市; 气相色谱仪; XGBoost模型订正; 变化特征

本文引用格式

王莉 , 刘晓岳 , 黄建平 . 典型工业城市兰州市大气氧气的高精度观测研究[J]. 地球科学进展, 2023 , 38(7) : 715 -728 . DOI: 10.11867/j.issn.1001-8166.2023.035

Abstract

Human activities have changed the air oxygen content in urban areas and threatened the regional atmospheric oxygen balance. However, studies on urban atmospheric oxygen (O2) remain limited, and a systematic assessment of the mechanisms that drive urban O2 variability is not yet possible. Therefore, the long-term observation of atmospheric O2 in urban areas is of utmost importance. This study provides an in-depth overview of the Lanzhou online atmospheric oxygen observation platform, which is the first in situ, high-precision, continuous atmospheric O2 observation platform in China. The platform uses a gas chromatography-thermal conductivity detector (GC-TCD) method to measure the atmospheric O2 content and establishes an XGBoost-based correction model for atmospheric O2 observation data. After correction, the observation system error of atmospheric O2 has significantly reduced to -0.68 μmol/mol. The observation results showed that atmospheric O2 has clear seasonal and daily variation characteristics and good correspondence with urban human activity indicators (NOx). Based on the capabilities of the atmospheric oxygen observation platform demonstrated in this study, the platform can detect microvariations in atmospheric O2 against a high background, providing crucial data to support research into urban atmospheric O2 levels. Due to the close relationship between carbon and oxygen cycles, the long-term observation of atmospheric O2 can be a scientific basis for establishing regionally appropriate “double carbon” practical paths.

Key words： Atmospheric oxygen observation; Lanzhou City; Gas chromatography; XGBoost-based correction model; Variation characteristics

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