【摘 要】
：
本文利用2013年1月AERONET(Aerosol Robotic Network)北京站的气溶胶光学厚度AOD(Aerosol Optical Depth)、细颗粒物光学厚度占总光学厚度的比例即气溶胶细模态比例η以及地面监测的细颗粒物PM2.5(Particulate Matter 2.5)质量浓度数据建立气溶胶细模态光学厚度AODf(fine-mode Aerosol Optical Dep
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本文利用2013年1月AERONET(Aerosol Robotic Network)北京站的气溶胶光学厚度AOD(Aerosol Optical Depth)、细颗粒物光学厚度占总光学厚度的比例即气溶胶细模态比例η以及地面监测的细颗粒物PM2.5(Particulate Matter 2.5)质量浓度数据建立气溶胶细模态光学厚度AODf(fine-mode Aerosol Optical Depth)与PM2.5的线性回归关系,并利用2013年2月1日—15日的数据验证该方法。结果表明,利用201
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