城市绿地CO2质量浓度和通量的时间变化特征分析

doi:10.3969/j.issn.1673-6141.2025.06.004

大气与环境光学学报 ›› 2025, Vol. 20 ›› Issue (6): 726-738.doi: 10.3969/j.issn.1673-6141.2025.06.004

• 环境光学监测技术 • 上一篇

城市绿地CO2质量浓度和通量的时间变化特征分析

陈玥萌 1, 花家嘉 2, 李卓远 1, 孙丽君 1, 袁仁民 1*

1 中国科学技术大学地球和空间科学学院, 安徽合肥 230026; 2 中国气象局雄安大气边界层重点开放实验室, 河北雄安新区 071800

收稿日期:2023-08-08 修回日期:2023-10-11 出版日期:2025-11-28 发布日期:2025-11-24
通讯作者: E-mail: rmyuan@ustc.edu.cn E-mail:rmyuan@ustc.edu.cn
作者简介:陈玥萌 (2003- ), 女, 四川威远人, 硕士研究生, 主要从事大气边界层方面的研究。E-mail: cym0913@mail.ustc.edu.cn
基金资助:
国家重点研发项目 (2022YFC3700701), 国家自然科学基金项目 (42075131)

Analysis of time variation characteristics of CO2 mass concentration and flux in urban green space

CHEN Yuemeng 1, HUA Jiajia 2, LI Zhuoyuan 1, SUN Lijun 1, YUAN Renmin 1*

1 School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China; 2 China Meteorological Administration Xiong'an Atmospheric Boundary Layer Key Laboratory, Xiong'an New Area 071800, China

Received:2023-08-08 Revised:2023-10-11 Online:2025-11-28 Published:2025-11-24

摘要/Abstract

摘要： 近年来，全球变暖等气候环境问题愈发引起人们的重视。城市是CO2 的主要排放源，因此对城市CO2 质量浓度和通量进行监测并分析其变化特征在全球变暖研究和温室气体监测中有着极其重要的意义。本文基于涡动相关法，于2017 年7 月至2021 年7 月在中国科学技术大学东校区气象塔展开城市绿地环境的通量观测，主要围绕观测地点附近CO2质量浓度和通量的日变化特征及其影响因素展开研究。结果表明：在观测时段内，中国科学技术大学校园附近CO2 质量浓度在年际变化上呈现出微弱的增长趋势，年平均增长率为4.47 (mg∙m-3 )/a； CO2 质量浓度及其日变化峰值谷值时刻、CO2 通量及其日变化谷值时刻均呈现出明显的季节变化特征； CO2 通量日变化峰值时刻变化趋势没有明显的季节性特征，而与人类通勤时段呈现出显著的相关性。由此可以说明，中国科学技术大学校园附近的CO2变化与自然植被和人类活动都具有密切联系。

关键词: 城市绿地, CO2质量浓度, CO2通量, 日变化, 峰值谷值时刻

Abstract: In recent years, climatic and environmental problems such as global warming have attracted more and more attention. Cities are the main emission source of CO2, therefore monitoring the mass concentration and flux of urban CO2 and analyzing of their characteristics are of great significance in the study of global warming and greenhouse gas monitoring. Based on the eddy covariance method, the flux observation of urban green space environment was carried out at the meteorological tower of the East Campus of University of Science and Technology of China (USTC) from July 2017 to July 2021, and the diurnal variation characteristics and influencing factors of CO2 mass concentration and flux near the observation site were mainly studied. The results show that during the observation period, the CO2 mass concentration near USTC campus showed a slight increasing trend, with an average annual increase rate of 4.47 (mg∙m-3 )/a. All of CO2 mass concentration and its daily peak time and valley time showed obvious seasonal characteristics, as well as CO2 flux and its daily valley time. However, the variation trend of the daily peak time of CO2 flux did not have obvious seasonal characteristics, but showed a significant correlation with human commuting time. It can be concluded that the change of CO2 near the campus of USTC was closely related to natural vegetation and human activities.

Key words: urban green space, CO2 mass concentration, CO2 flux, daily variation, peak and valley time

中图分类号:

P416

陈玥萌, 花家嘉, 李卓远, 孙丽君, 袁仁民 . 城市绿地CO2质量浓度和通量的时间变化特征分析[J]. 大气与环境光学学报, 2025, 20(6): 726-738.

CHEN Yuemeng , HUA Jiajia , LI Zhuoyuan , SUN Lijun , YUAN Renmin . Analysis of time variation characteristics of CO2 mass concentration and flux in urban green space[J]. Journal of Atmospheric and Environmental Optics, 2025, 20(6): 726-738.

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城市绿地CO2质量浓度和通量的时间变化特征分析

Analysis of time variation characteristics of CO2 mass concentration and flux in urban green space

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