摘要
大气气溶胶数浓度谱分布(PNSD)对于大气辐射和光学计算至关重要,利用目前普遍观测的气溶胶质量浓度(PM_(2.5))来反演计算PNSD,能有效补充PNSD观测的不足,对于需要PNSD信息的研究工作如大气能见度计算等有重要的实用价值.本文利用2014年11月~2015年1月在广州城市站进行同期连续观测的干气溶胶粒子的PM_(2.5)、PNSD数据进行客观分析,建立了一种使用PM_(2.5)反演PNSD的方法,并评估了该方法的适用性.结果表明该反演算法具有较好地适用性和稳定性,对于积聚模态的PNSD反演效果较好,但对于PM_(2.5)高浓度的反演结果差异较大.该反演方法将为珠三角地区的大气能见度计算和应用提供有利的依据和支撑.
The aerosol particle number size distribution( PNSD) is of great importance in calculating atmospheric radiation and optics.It can effectively supplement the inadequate observation of PNSD using the widely known aerosol mass concentration( PM_(2.5))measurement to invert PNSD. It would be valuable for research that needs PNSD data,like atmospheric visibility calculation. This paper created a PNSD inversed method based on the statistics and parameterization of the dry aerosol PM_(2.5) and PNSD dataset from the Guangzhou urban site's simultaneous measurements from November 2014 to January 2015. The inversed results appeared good in the accumulation mode,whereas more differences showed with higher PM_(2.5) loading. The applicability and stability of this method makes it preferable. It would provide advanced technical support for the visibility calculation and application in PRD.
引文
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