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Study of the monthly correlation between AOD obtained from MODIS images and particulate matter for a coastal city

机译:MODIS图像获得的AOD与沿海城市颗粒物之间月度相关性的研究

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Remote sensing applied to the study of air quality has provided new tools for assessing the spatial and temporal distribution of atmospheric pollutants. One of the main satellite parameters used is the optical density of aerosols (AOD), which allows quantifying the attenuation of solar radiation in the presence of aerosols within an atmospheric column. This study was evaluated the correlation between the average monthly ODA levels recorded by the MODIS sensor on the Terra and Aqua platforms (products MYD04_3k and MOD04_3k), and the average monthly concentrations of PM10 and PM2.5 measured at 5 continuous monitoring stations in the city of Valencia, Spain, over an 8-year period. Correlation was analyzed in each station, excluding those where the correlation was not significant. Thus a ratio of 0.31 (p <;0.01, n=87) was obtained for PM10 and 0.49 (p <;0.001, n=74) for PM2.5. Based on this, the generated linear models were analyzed and maps of particulate matter were made. These results were similar to those reported in the literature, showing that it is feasible to use these products to assess the spatial distribution of atmospheric pollutants.
机译:应用于空气质量研究的遥感为评估大气污染物的时空分布提供了新的工具。使用的主要卫星参数之一是气溶胶的光密度(AOD),它可以量化大气柱内存在气溶胶时太阳辐射的衰减。这项研究评估了MODIS传感器在Terra和Aqua平台(产品MYD04_3k和MOD04_3k)上记录的平均每月ODA水平与PM10和PM的平均每月浓度之间的相关性。 2.5 在长达8年的时间里,对西班牙瓦伦西亚市的5个连续监测站进行了测量。在每个站点中分析了相关性,但相关性不显着的站点除外。因此,PM的比率为0.31(p <; 0.01,n = 87) 10 PM为0.49(p <; 0.001,n = 74) 2.5 。在此基础上,对生成的线性模型进行了分析,并绘制了颗粒物图。这些结果与文献报道的结果相似,表明使用这些产品评估大气污染物的空间分布是可行的。

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