中国CO时空分布的遥感诊断分析

Remote Sensing Diagnosis Analysis of Spatial and Temporal Distribution of Carbon Monoxide in China

  • 摘要: 利用2010年9月AIRS(Atmospheric InfraRed Sounder)传感器的CO柱密度数据及地面CO小时浓度监测资料进行对比分析,结果表明,二者具有时间同步特征,相关系数0.63(显著性水平95%),AIRS观测数据反映了地面CO的污染。通过2004—2010年CO柱密度数据,研究了中国CO的时空分布特征,平均CO柱密度由重至轻依次为华北、长三角、华中、珠三角、东北、四川及新疆地区,各区域在3月和4月达到CO污染峰值,且7年的CO柱密度较稳定。CO的空间分布具有显著汇聚带的特征,结合气象资料发现,反气旋系统中部及后部覆盖的均压场是形成显著汇聚带系统的主要背景场。

     

    Abstract: A contrastive analysis of the CO column density data derived from Atmospheric InfraRed Sounder (AIRS) observations and the CO hourly concentration monitoring data in September 2010 was analyzed. The results showed that the two series of data were synchronous in time, with relative coefficient of 0.63(α=0.05), and thus the data from AIRS could reflect the surface CO pollution. The spatial and temporal distribution of CO in China during 2004-2010 was investigated by using the remote sensing data. It was found that the average CO column density order from heavy to light was North China, Yangtze River Delta, Central China, Pearl River Delta, Northeast China, Sichuan and Xinjiang. The peeks were reached in March or April and the column density was stable during the seven years. The CO column density distribution had the characteristic of distinct converging belt. Combined with the weather data, the results revealed that the uniform pressure fields covered in the center and rear of anticyclones were the main background fields to form distinct converging belts.

     

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