【摘要】 利用卫星和地基遥感气溶胶数据分析了北京地区多气溶胶性质参量与PM2.5的相关性,提出了计算粒子直径小于2.5μm的气溶胶体积浓度和光学厚度(AOD)的方法,并用该方法对2012年3~9月北京地区地基遥感气溶胶体积浓度和光学厚度进行了尺度校正.结果表明:多种气溶胶遥感参量如气溶胶光学厚度、体积浓度和质量浓度等均与PM2.5存在一定的相关性;相比于卫星遥感参量,地基遥感参量与PM2.5的相关性更好;各波段的总气溶胶光学厚度与PM2.5的相关性随波长的增加而减小;经粒子尺度校正后,气溶胶的体积浓度和长波段总气溶胶光学厚度与PM2.5的相关性明显增加.更多还原

【Abstract】 The correlation between aerosol parameters and PM2.5 were analyzed by using satellite and ground based remote sensing data. Meanwhile a method which can calculate volume concentration and aerosol optical depth(AOD) with diameter less than 2.5μm was presented and used to correct the volume concentration and AOD obtained from ground based remote sensing between March and September 2012. The results showed that a variety of aerosol remote sensing parameters such as AOD, volume and mass concentration etc. exhibited significant correlations with PM2.5. The correlations between ground based remote sensing parameters and PM2.5 were better than those between the satellite remote sensing parameters and PM2.5. The correlation coefficients between total AOD and PM2.5 decreased with wavelength increase. Correlations of the aerosol volume concentration and long wavelength AOD with PM2.5 increased significantly after the particle size correction.更多还原