• 关键词：MODIS气溶胶光学厚度  PM₁₀质量浓度  相关性分析

• 基金项目：测绘地理信息公益性行业科研专项(No.201412007);国际科技合作项目(No.S2014ZR0347)

• 谢志英
• 1. 兰州交通大学, 兰州 730070;2. 甘肃省地理国情监测工程实验室, 兰州 730070

• 刘浩
• 北京师范大学减灾与应急管理研究院, 北京 100875

• 唐新明
• 国家测绘地理信息局卫星测绘应用中心, 北京 101300

• 摘要：利用北京地区2012年1-12月NASA MODIS气溶胶光学厚度(AOD)和通过空气污染指数(API)转换得到的PM₁₀质量浓度进行了相关性分析.结果发现,二者的直接相关程度较低,在引入季节变化的气溶胶标高且考虑了气溶胶的垂直分布后,进行标高订正,二者的相关系数有所提高;在考虑了湿度影响因子后,进行湿度订正,二者的相关系数显著提高;引入平均风速、平均气温和平均气压等气象因素,进行多元回归分析,相关系数进一步提高.证实了卫星遥感气溶胶光学厚度在经过垂直和湿度订正并考虑气象因素的情况下,可以作为监测北京地区颗粒物污染物地面分布的一个有效手段.

• Abstract：Correlation analysis was performed between MODIS aerosol optical depth (AOD) and PM₁₀ mass concentration calculated from Air Pollutant Index in Beijing in the entire year of 2012. It is found that the direct correlation between AOD and PM₁₀ mass concentration is relative low. After introducing the vertical distribution of the aerosol and correcting the aerosol scale height, the correlation coefficient increased. After taking into account of the humidity effect factors, the correlation coefficient between AOD and PM₁₀ mass concentration increased significantly. The correlation increased further with multivariate regression with meteorological factors, such as average wind speed, average temperature, and average atmospheric pressure, etc. It can be concluded that MODIS AOD products, after vertical and humidity correction and incorporation of meteorological factors, can be utilized to retrieve PM₁₀ mass concentration in Beijing.

• Key words：MODIS aerosol optical depth(AOD)  PM₁₀ concentration  correlation analysis

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