| 基于多源数据的PM2.5反演方法 |
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| 引用本文： | 景瑞环,麻金继,汪超.基于多源数据的PM2.5反演方法[J].大气与环境光学学报,2015,10(1):51-62. |
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| 作者姓名： | 景瑞环 麻金继 汪超 |
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| 作者单位： | （安徽师范大学国土资源与旅游学院，芜湖，安徽 241002） |
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| 基金项目： | 国家自然科学基金(41271377)、 安徽省自然科学基金(1208085MD58)资助 |
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| 摘 要： | 利用MODIS L1B 1km分辨率数据和NASA 的V5.2 气溶胶改良业务反演算法，对南京都市圈2013年9月至2014年1月期间的气溶胶光学厚度（AOD）进行反演，并运用AERONET地基气溶胶监测网的AOD产品对反演结果进行验证。然后，将经过验证后的AOD与国家环保部建立的国家空气质量自动监测点实测得到的PM2.5质量浓度和PM10质量浓度根据经典统计学进行线性回归性分析，并用气溶胶细模态光学厚度AODf和气象因子对PM2.5质量浓度与MODIS AOD之间的模型进行修正，修正后的模型为y=136.78+9.16x1-0.36 x2-3.98x3，R2=0.79，并应用该模型，证实气溶胶光学厚度可以用来对城市空气质量进行评价。
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| 关 键 词： | PM2.5 细模态气溶胶光学厚度 MODIS 多元回归拟合模型 |
| 收稿时间： | 2014/5/13 |
| 修稿时间： | 2014-07-07 |
Methods of PM2.5 Inversion Based on Multi-Source Data |
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| JING Rui-Huan,MA Jin-Ji,WANG Chao.Methods of PM2.5 Inversion Based on Multi-Source Data[J].Journal of Atmospheric and Environmental Optics,2015,10(1):51-62. |
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| Authors: | JING Rui-Huan MA Jin-Ji WANG Chao |
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| Affiliation: | (College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241000, China) |
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| Abstract: | Earth-observing satellites have provided satellite image datasets for urban-scale air quality monitoring. Aerosol optical depths (AOD) at 1 km resolution is retrieved from MODIS on Terra and Aqua Satellite by using the improved algorithm. The 1 km AOD data are validated by using AOD measurementsof AERONET station in the period from September 2013 to January 2014. Then the validated 1 km AOD data are compared with ground-based PM2.5 mass concentration and PM10 mass concentration in Nanjing metropolitan area respectively. Then these models have been amended by fine aerosol optical depths and the meteorological factors. The revised model of Nanjing metropolitan area is y=136.78+9.16x1-0.36x2-3.98x3,with R2=0.79. By applying the model, it is confirmed that the aerosol optical depths can be used to evaluate the quality of urban air. |
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| Keywords: | PM2 5 fine mode aerosol optical depth MODIS multivariate regression models |
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