长沙市MODIS气溶胶光学厚度与PM2.5浓度的相关性研究

利用MODIS数据研究区域大气PM2.5浓度分布是环境动态监测的有效方法。获取美国NASA发布的分辨率为3km的MOD光学厚度产品;提取2016年1月至2017年7月期间长沙市10个大气监测站点的PM2.5浓度数据进行相关性分析,建立PM2.5浓度与AOD之间的线性、幂函数以及指数函数3种相关性模型;引入湿度影响因子建立大气PM2.5浓度订正模型,采用PM2.5浓度订正模型订正PM2.5浓度。结果表明:湿度订正提高了PM2.5与AOD相关性,幂函数相关性模型的方差值相对其他2种模型较好,运用幂函数相关性模型研究长沙市MODIS气溶胶光学厚度与PM2.5浓度的相关性较好。

Using MODIS data to study regional atmospheric PM2.5 concentration distribution is an effective method for environmental monitoring.A MOD optical thickness product with a resolution of 3km was obtained by American NASA,and the correlation analysis of the PM2.5 concentration data of 10 atmospheric monitoring stations in Changsha from January 2016 to July 2017 was extracted.The linear,power function and exponential function between PM2.5 concentration and AOD were established,and the humidit y inf luence factors were introduced.The correction model of atmospheric PM2.5 concentration was established,and PM2.5 concentration correction model was used to correct PM2.5 concentration.The results showed that the correlation between PM2.5 and AOD was improved.The variance value of the power function correlation model was better than the other 2 models.The correlation between the MODIS aerosol optical thickness of MODIS and the concentration of PM2.5 was better with the power function correlation model.