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Assessment of Satellite Aerosol Optical Depth to Estimate Particulate Matter Distribution in Valencia City

机译:评估瓦伦西亚市卫星气溶胶光学深度以估算颗粒物分布

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The estimation of exposure to PM10 and PM2.5 requires the knowledge of surface concentration at high temporal and spatial resolutions. In this paper, the relation between PM10 and PM2.5 ground data and MODIS AOD satellite data has been evaluated to determine the concentration of particulate matter in Valencia, Spain. This was done using data from the Valencian Network of Surveillance and Control of Air Pollution and the scientific data set “Optical Depth Land and Ocean” from MODIS Terra and Aqua with 3km of spatial resolution. The linear regression model for PM10 provided a regression slope of 25.99 μg.m-3 and an interception of 12.07 μg.m-3 (RMSE=8.61 μg.m-3), while for PM2.5 the slope and interception were 26.87 μg.m-3 and 5.98 μg.m-3 (RMSE=5.5 μg.m-3).
机译:暴露于PM的估计 10 和PM 2.5 需要了解高时空分辨率下的表面集中度知识。本文中PM之间的关系 10 和PM 2.5 评估了地面数据和MODIS AOD卫星数据,以确定西班牙巴伦西亚的颗粒物浓度。这是利用来自瓦伦西亚空气污染监测和控制网络的数据以及来自MODIS Terra和Aqua的科学数据集“光学深度陆地和海洋”以3 km的空间分辨率完成的。 PM的线性回归模型 10 提供了25.99μg.m的回归斜率 -3 截获量为12.07μg.m -3 (RMSE = 8.61微克 -3 ),而对于PM 2.5 斜率和截距为26.87μg.m -3 和5.98μg.m -3 (RMSE = 5.5微克 -3 )。

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