Estimation of PM<sub>2.5</sub> from fine-mode aerosol optical depth

doi:10.11834/jrs.20133063

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Estimation of PM_2.5 from fine-mode aerosol optical depth
Vol. 17, Issue 4, Pages: 929-943(2013)
Published：2013
DOI： 10.11834/jrs.20133063
稿件说明：

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[1]张莹,李正强.利用细模态气溶胶光学厚度估计PM_(2.5)[J].遥感学报,2013,17(04):929-943. DOI： 10.11834/jrs.20133063.

Estimation of PM_2.5 from fine-mode aerosol optical depth[J]. Journal of Remote Sensing, 2013, 17(4): 929-943. DOI： 10.11834/jrs.20133063.

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 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2013年1月建立的回归方法能够有效估算灰霾期间PM2.5

获得PM2.5的均值为85μg/m3

均方根误差为50μg/m3。利用气溶胶细模态订正方法估算的AODf与PM2.5的相关系数大于AOD与PM2.5的相关系数

这表明灰霾期间以PM2.5为代表的细模态颗粒物成为气溶胶消光的主体

且AOD与PM2.5的关系转化为AODf与PM2.5的相关关系时

相关程度提高。垂直分布修正在灰霾时对改善AOD与PM2.5相关关系作用不明显;当相对湿度大于80%时

湿度订正效果受到较大限制。

Abstract

The correlation between fine Particulate Matters （ PM2.5 ） and Fine-mode Aerosol Optical Depth （ AODf ） is established. AODf is obtained from product of Aerosol Optical Depth （ AOD） and fine-mode fraction at Beijing site belonging to the AErosol RO-botic NETwork （ AERONET） in January 2013. And then we compare estimation with observation of PM2.5 from 1 to 15 February

2013. The results show that the developed correction method is effective to estimate PM2.5 during haze

with root-mean-square error of 50 μg / m3 at a mean level of 85 μg/m3 . The relationship between AODf and PM2.5 is obviously better than that of AOD and PM2.5 . It is also found that when the relative humidity is higher than 80%

the humidity correction on AOD-PM2.5 correlation is limited

and the vertical correction cannot improve the correlation during haze.