| 瓦里关大气二氧化碳和甲烷时间变化特征 |
| 摘要点击 1767 全文点击 1331 投稿时间：2014-01-21 修订日期：2014-04-03 |
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| 中文关键词 二氧化碳 甲烷 傅立叶分析 功率谱 瓦里关 |
| 英文关键词 carbon dioxide methane Fourier analysis power spectrum Waliguan |
| 作者 | 单位 | E-mail | | 刘鹏 | 青海省气象局, 中国大气本底基准观象台, 西宁 810001 | liupeng_wlg@163.com | | 张国庆 | 青海省气象局, 中国大气本底基准观象台, 西宁 810001 | | | 王剑琼 | 青海省气象局, 中国大气本底基准观象台, 西宁 810001 | | | 吴昊 | 青海省气象局, 中国大气本底基准观象台, 西宁 810001 | | | 李宝鑫 | 青海省气象局, 中国大气本底基准观象台, 西宁 810001 | | | 王宁章 | 青海省气象局, 中国大气本底基准观象台, 西宁 810001 | |
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| 中文摘要 |
| 于 2009~2010对瓦里关山大气二氧化碳（CO2）和甲烷（CH4）进行了连续观测. 结果表明，瓦里关山夏季频繁受到区域排放的影响，大约17%的 CO2浓度标识为污染浓度. 2009~2010年CO2平均浓度390.72×10-6，较1995~2008年高17.4×10-6；2009~2010年CH4中位浓度为1851.11×10-9，较2002~2006年高16×10-9，意味着区域内 CO2和 CH4的排放仍在不断增加. 利用遗传算法改进的神经网络模型插补数据获得了完整的空气温度、风速、CO2和CH4浓度时间序列，并对时间序列展开了傅立叶分析. 在天时间尺度，由于太阳活动的逐日变化，气象因子、CO2和CH4功率谱在24 h和12 h有着非常明显的谱峰. 在月时间尺度，CO2浓度在30 d的周期内有明显的谱隙，意味着气象和物候因素在这个时间尺度上对CO2浓度的影响并不明显. |
| 英文摘要 |
| In this paper, the continuous (2009-2010) measurement of atmospheric CO2 and CH4 from the Mount Waliguan Baseline Observatory of Western China are presented. The results show that about 17% of CO2 observations are classified as polluted due to more frequently influence of regional emission on local measurement in summer time. The mean concentration of CO2 measured at the period of 2009 to 2010 was 390.72×10-6 which was 17.4×10-6 higher than that measured from 1995 to 2008, and the median concentration of CH4 was 1851.11×10-9 which was 16×10-9 higher than that from 2002 to 2006, which implied that the regional emission of CO2 and CH4 was continuously increased. The unavailable data were filled by back propagation neural network (BPNN) and optimized by genetic algorithm (GA), which were analyzed by the Fourier analysis of time series of air temperature, wind speed, concentration of CO2 and CH4. At the daily time scale, strong spectrum peak occurred and concentration recorded at periods of 12 and 24 hours,due to the daily sun activity changes. At the monthly time scale, the spectrum gap occurred in CO2 concentration at periods of 30 day suggesting that the effect of meteorological and phenological factors on the variation of CO2 concentration was insignificant. |
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