| 北京市近地层颗粒物浓度与气溶胶光学厚度相关性分析研究 |
| 摘要点击 3182 全文点击 2323 投稿时间：2012-05-25 修订日期：2012-10-10 |
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| 中文关键词 北京市 颗粒物污染 PM2.5 PM10 气溶胶光学厚度 相关性 |
| 英文关键词 Beijing City particulate matter pollution PM2.5 PM10 AOD correlation |
| 作者 | 单位 | E-mail | | 林海峰 | 兰州大学大气科学学院,甘肃省干旱气候变化与减灾重点实验室, 兰州 730000
中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京 100029
辽宁省气象局沈阳中心气象台,沈阳 110001 | lhf@dq.cern.ac.cn | | 辛金元 | 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京 100029 | xjy@mail.iap.ac.cn | | 张文煜 | 兰州大学大气科学学院,甘肃省干旱气候变化与减灾重点实验室, 兰州 730000 | | | 王跃思 | 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京 100029 | | | 刘子锐 | 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京 100029 | | | 陈传雷 | 辽宁省气象局沈阳中心气象台,沈阳 110001 | |
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| 中文摘要 |
| 利用2009年北京市大气颗粒物质量浓度和气溶胶光学特性的同步观测研究发现,北京市城区颗粒物污染严重. PM2.5、PM10年平均浓度分别为(65±14)、(117±31)μg·m-3,均超出国家2016年拟执行环境空气质量二级标准,PM2.5、PM10日均值超标率分别为35%、26%. 细粒子PM2.5污染与可吸入颗粒物PM10污染呈显著性相关,相关系数R约为0.90 (P<0.001),二者相关性伴随PM2.5在PM10中所占比重自春季到冬季逐渐增大而增强,年均PM2.5占PM10比重为61%. 气溶胶光学厚度AOD(500 nm)与气溶胶波长指数(α)年均值分别为(0.55±0.10)、(1.12±0.08). PM2.5、PM10与AOD间全年及各季节均呈显著线性相关,相关系数R≥0.50; 但其相关系数与相关函数存在着显著的季节差异,夏秋季节相关性显著高于春冬季节,且全年相关会掩盖较大的季节性系统差异. 对PM2.5、PM10数据进行湿度订正,对AOD进行混合层高度订正,PM2.5、PM10与AOD之间的相关性得到一定提升,且更适合指数相关. |
| 英文摘要 |
| The pollution of particulate matter was serious in Beijing City from the synchronous observation of particulate matter mass concentration and aerosol optical characteristics in 2009.The annual mean concentrations of PM2.5 and PM10 were (65±14) μg·m-3 and (117±31) μg·m-3, respectively, which exceeded the national ambient air quality annual standards to be implemented in 2016.There were 35% and 26% days of 2009 that the daily standards were exceeded. There was a significant correlation between fine particulate (PM2.5) and inhalable particle (PM10), with a correlation coefficient (R) of approximately 0.90 (P<0.001). PM10 contained a large percentage of PM2.5, with an annual percentage of about 61%. The percentage became much higher from spring to winter, while the correlation between PM2.5 and PM10 became much stronger. The annual mean of AOD (500 nm) and Angstrom exponent were (0.55±0.1) and (1.12±0.08), respectively. There were significant correlations between PM2.5, PM10 and AOD in the four seasons and the whole year, and the correlation coefficients were greater than or equal to 0.50. Furthermore, the correlation functions and coefficients had seasonal variations. The correlations were more significant in summer and autumn than in spring and winter. The annual correlation could cover up the seasonal systematic differences. The correlations between AOD revised by Mixed Layer Height and PM2.5, PM10 revised by Relative Humidity became stronger, and the exponential correlations were superior to the linear correlations. |
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