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城市复杂环境中碳通量日变化规律及其影响因素

The diurnal variation and influencing factors of carbon dioxide fluxes in an urban complex area

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【作者】 赵露王效科姚扬孙旭周伟奇张红星

【Author】 ZHAO Lu;WANG Xiaoke;YAO Yang;SUN Xu;ZHOU Weiqi;ZHANG Hongxing;State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences;University of Chinese Academy of Sciences;Beijing Urban Ecosystem Research Station, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences;

【通讯作者】 张红星;

【机构】 中国科学院生态环境研究中心城市与区域生态国家重点实验室中国科学院大学中国科学院生态环境研究中心北京城市生态系统研究站

【摘要】 城市是人类居住和活动最集中地区,其CO2排放量占世界总排放量的71%,城市碳排放规律研究对全球碳减排工作具有重要意义。利用涡动相关技术观测了北京市某街区2015年至2016年的CO2通量,重点研究了不同时间尺度和气象条件下的CO2通量的日变化规律,分析了影响城市CO2通量的社会及自然因素。结果表明,CO2通量日变化特征具有(1)明显的早晚“双峰型”特征,早晚高峰分别出现在早上7:30—9:30和晚上17:30—20:30;(2)周末特征:周末早高峰时间延迟,晚于工作日约1.5h,且峰值低了约10.8%,但晚高峰时间提前,且峰值高于工作日约10.6%;(3)季节特征:冬季CO2通量均值和早高峰值明显高于其他季节,夏季中午具有明显低峰区;(4)风向特征:在不同来风方向上,CO2通量的日变化峰值差异很大;(5)天气特征:阴天双峰特征比晴天明显。研究表明CO2通量日变化主要与交通流量动态变化关系最为密切,其次要受到植被的影响。因此,交通减排和植被增汇对于控制城市碳排放具有重要意义。

【Abstract】 Cities are the most concentrated area of human habitation and activities, and their CO2 emissions account for 71% of the world′s total emissions. The study on the law of urban carbon emission has great significance for the reduction of the global carbon emission. In this study, we used the eddy covariance(EC) to measure CO2 fluxes of a block in Beijing, China in 2015—2016, and analyzed the patterns of diurnal variations in CO2 fluxes over different timescales. The diurnal variations in CO2 fluxes exhibited(1) the obvious “bimodal” pattern: peaks of CO2 fluxes appeared at 7:30—9:30 and 17:30—20:30 in the morning and the evening, respectively.(2) The weekend phenomona: Compared with weekday, the peak in the morning on weekends appeared about 1.5 hours later and 10.8% lower, while the peak in the evening was about 10.6% higher.(3) The seasonal dependence: The mean and daily peak values of CO2 fluxes in winter were significantly higher than those in other seasons. There was an obvious valley in CO2 fluxes at noon in summer.(4) Differences among wind direction: In the two main wind directions, the peaks varied greatly.(5) The weather influence: The “bimodal” pattern on cloudy days was more obvious than that on sunny days. Our research suggested that the diurnal variation of CO2 fluxes in cities was mainly related to traffic volume, and was secondarily affected by vegetation. Therefore, the reduction in traffic emission and enhancement in vegetation sink play an important role in reducing carbon emissions in cities.

【关键词】 北京CO2通量城市涡动相关法日变化
【Key words】 BeijingCO2 fluxcityeddy covariancediurnal variation
【基金】 国家重点研发计划项目(2017YFE0127700)
  • 【文献出处】 生态学报 ,Acta Ecologica Sinica , 编辑部邮箱 ,2023年11期
  • 【分类号】X321
  • 【网络出版时间】2023-02-07 14:33:00
  • 【下载频次】232
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