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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

陈玥萌 花家嘉 李卓远 孙丽君 袁仁民

大气与环境光学学报2025,Vol.20Issue(6):726-738,13.
大气与环境光学学报2025,Vol.20Issue(6):726-738,13.DOI:10.3969/j.issn.1673-6141.2025.06.004

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

陈玥萌 1花家嘉 2李卓远 1孙丽君 1袁仁民1

作者信息

  • 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
  • 折叠

摘要

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.

关键词

城市绿地/CO2质量浓度/CO2通量/日变化/峰值谷值时刻

Key words

urban green space/CO2 mass concentration/CO2 flux/daily variation/peak and valley time

分类

天文与地球科学

引用本文复制引用

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):726-738,13.

基金项目

国家重点研发项目(2022YFC3700701),国家自然科学基金项目(42075131) (2022YFC3700701)

大气与环境光学学报

1673-6141

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