| 深圳市不同区域大气CO2变化特征与来源分析 |
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| 引用本文： | 孙天乐,何冬一,林晓玉,唐梦雪,曹礼明,计军平,古添发,何凌燕.深圳市不同区域大气CO2变化特征与来源分析[J].中国环境科学,2022,42(12):5497-5505. |
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| 作者姓名： | 孙天乐 何冬一 林晓玉 唐梦雪 曹礼明 计军平 古添发 何凌燕 |
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| 作者单位： | 1. 广东省深圳生态环境监测中心站, 广东 深圳 518049;2. 北京大学深圳研究生院环境与能源学院大气观测超级站实验室, 广东 深圳 518055;3. 哈尔滨工业大学(深圳)经济管理学院, 广东 深圳 518055 |
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| 基金项目： | 国家重点研发计划（2022YFC3701000，第二课题）；深圳市科技计划项目（JCYJ20200109110625819） |
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| 摘 要： | 于2020年12月1日~2021年12月1日分别在深圳市大学城和路边站两点位对大气CO2和CO浓度进行了为期1a的观测.本次观测期间内两点位大气CO2平均浓度分别为432×10-6和439×10-6，均呈现了“秋冬季高、春夏季低”的季节变化特征与“昼低夜高”日变化特征，且日变化特征在早晚高峰期受到交通源排放的显著影响.此外，通过引入CO2和CO的净变化值得到大学城和路边站两点位的ΔCO2/ΔCO值分别为136.8~184.8、59.0~119.3，结果表明机动车排放对深圳市大气CO2贡献突出.
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| 关 键 词： | 深圳 CO2浓度 季节变化 日变化 来源分析 |
| 收稿时间： | 2022-05-13 |
The characterization and source analysis of atmospheric CO2 in different areas of Shenzhen |
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| SUN Tian-le,HE Dong-yi,LIN Xiao-yu,TANG Meng-xue,CAO Li-ming,JI Jun-ping,GU Tian-fa,HE Ling-yan.The characterization and source analysis of atmospheric CO2 in different areas of Shenzhen[J].China Environmental Science,2022,42(12):5497-5505. |
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| Authors: | SUN Tian-le HE Dong-yi LIN Xiao-yu TANG Meng-xue CAO Li-ming JI Jun-ping GU Tian-fa HE Ling-yan |
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| Institution: | 1. Shenzhen Environmental Monitoring Center of Guangdong Province, Shenzhen 518049, China;2. Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China;3. School of Economics and Management, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China |
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| Abstract: | This study was monitored CO2 and CO concentrations for one year at two sites (Roadside Station and University Town) in Shenzhen from December 1, 2020 to December 1, 2021.During the observation period, the average atmospheric CO2 concentrations of the University Town and Roadside Station in the Shenzhen were 432x10-6 and 438x10-6, respectively. The atmospheric CO2 concentration at both sites showed the seasonal variation characteristics of high in autumn and winter and low in spring and summer, and diurnal variation characteristics of low in day and high in night. In addition, introducing the net change values of CO2 and CO (ΔCO2 and ΔCO), the ΔCO2/ΔCO values at the University Town and Roadside Station in the Shenzhen ranged from 136.8 to 184.8 and 59.0 to 119.3, respectively, indicating that vehicle emissions contributed significantly to atmospheric CO2 in Shenzhen. |
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| Keywords: | Shenzhen CO2 concentration seasonal variation diurnal variation source analysis |
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