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

机译:从Modis图像获得的AOD与沿海城区颗粒物质之间的每月相关性研究

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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空间和时间分布提供了新的工具。所使用的主要卫星参数之一是气溶胶(AOD)的光密度,这允许在大气柱内的气溶胶存在下量化太阳辐射的衰减。该研究评估了Modis传感器在Terra和Aqua平台上记录的平均月度ODA水平(产品MyD04_3K和Mod04_3k)之间的相关性,以及PM10和PM的平均每月浓度 2.5 在8年内,在西班牙巴伦西亚市5次连续监测站测量。在每个站分析相关性,不包括相关性不显着的那些。因此,PM的比例为0.31(p <; 0.01,n = 87) 10 PM的0.49(p <; 0.001,n = 74) 2.5 。基于此,分析了产生的线性模型,并制备了颗粒物质的图。这些结果与文献中报道的结果类似,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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