中文关键词
CO2影响因素杭州城区远郊 | 英文关键词CO2influence factorHangzhouurban arearural area |
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| 中文摘要 |
| 选取2015年8月至2016年9月杭州城区、远郊地区在线观测CO2体积分数，分析杭州地区CO2体积分数的城郊差异，并结合风向、CO2体积分数周末效应、二十国集团（G20）峰会期间CO2体积分数变化过程分析，探讨杭州城市对CO2体积分数的影响程度.结果表明，杭州城区、远郊地区CO2体积分数的日变化分布以单峰型形态为主，植物光合作用/呼吸作用和大气输送条件的日变化是主要的影响因素；城郊CO2体积分数差值表现为双峰形态，人为排放对城郊CO2体积分数差值的日变化分布存在重要影响.CO2体积分数日变化幅度在春夏季节远郊地区大于城区，秋季则反之.杭州城区、远郊地区CO2体积分数的季节变化趋势基本一致，均表现为冬、春季高，夏季低；城郊CO2体积分数差值冬季最高，夏季最低.杭州地区CO2体积分数高值的输送方向与周边城市区域的分布方向一致.杭州城区、远郊地区CO2体积分数均呈现周末效应，尤其在城区，机动车排放对工作日-周末CO2体积分数的日变化分布存在影响.杭州城区CO2平均体积分数比远郊地区高9.3×10-6，G20峰会期间人为源排放的减少有效地降低了大气CO2体积分数，尤其对市区的削减效果更为明显. |
| 英文摘要 |
| In situ measurement of CO2 concentration(volume fraction) was carried out in both urban and rural areas of Hangzhou from August 2015 to September 2016. The characteristics of CO2 concentration at the urban site were compared to those at the rural site, and the factors affecting CO2 concentration in Hangzhou were analyzed via wind direction, weekday-weekend difference in CO2 concentration, and evolution of CO2 concentration during the G20 summit. The results revealed that the diurnal variation of CO2 concentration in both the urban and rural areas presented a single peak curve most of the time, which resulted from the daily evolution of plant photosynthesis/respiration and atmospheric transport conditions. The diurnal variation of the difference in CO2 concentration observed at the urban and rural sites showed a bimodal peak curve, because anthropogenic emissions played a more important role. The diurnal amplitude of CO2 concentration in rural area was higher than that in urban area in spring and summer, but lower in autumn. The seasonal variation of CO2 concentration in both the urban and rural areas showed the same trend, with higher values appearing in winter and spring and lower values in summer. The difference in CO2 concentration observed at the urban and rural sites reached its highest level in winter, and dropped to its lowest in summer. The wind direction induction of high CO2 concentration was consistent with the location of the surrounding urban areas. A weekday-weekend difference in CO2 concentration was observed in Hangzhou, especially in urban area, as traffic emissions had an impact on the weekday-weekend difference in diurnal distribution of CO2 concentration. The average volume fraction of CO2 in urban area of Hangzhou was 9.3×10-6 higher than that in rural area, and the reduction of anthropogenic emissions during the G20 summit reduced the atmospheric CO2 concentration effectively, especially in urban area. |
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