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URBAN PM10 ESTIMATION BASED ON MERIS/AATSR SYNERGY DERIVED AOT AND MODIS LEVEL-2 ATMOSPHERIC PARAMETERS

机译:城市PM10基于Meris / Aatsr Synergy衍生AOT和MODIS级 - 2大气参数的估计

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In recent years, there has been a focus on urban air quality studies, aiming to improve the knowledge of the environmental factors that affect population health and well-being. Important urban air quality indicators are both PM10 and PM2.5. Recent scientific efforts have concentrated on PM mapping using Earth Observation data, offering better spatial coverage and resolution compared to ground measurements [1], [2]. The most common approach of these studies has been the correlation of the in-situ measured near surface PM concentration with the satellite derived Aerosol Optical Thickness (AOT), constraint by ancillary meteorological parameters to estimate the overall AOT contribution at the surface PM level. Although several studies have shown promising results, a major drawback remains, regarding the spatial resolution of the available satellite derived AOT products, which reaches at best the 10 km × 10 km in both MODIS and the GlobAEROSOL products cases. This study aims at quantifying the surface PM10 concentration over the broader urban area of Athens, Greece, using AOT spatial distributions derived by the MERIS/AATSR synergy algorithm [3]. Using this algorithm, AOT can be derived at 1 km × 1 km spatial resolution. Using 4 years of PM10 ground measurements, a multivariate regression technique was employed to estimate PM10 as function of the MERIS/AATSR derived AOT and some MODIS Level 2 atmospheric parameters (related to surface temperature and humidity, as well as to atmospheric static stability), at 5 km × 5 km spatial resolution. Our approach can be easily extended to Sentnel3 observations since they will be capable of extracting information about all the above parameters.
机译:近年来,旨在重点对城市空气质量研究,旨在提高影响人口健康和福祉的环境因素的知识。重要的城市空气质量指标都是PM10和PM2.5。最近的科学努力通过地球观测数据进行了PM映射,与地面测量相比,提供了更好的空间覆盖和分辨率[1],[2]。这些研究中最常见的方法是在卫星衍生的气溶胶光学厚度(AOT)附近测量的原位测量的原位的相关性,通过辅助气象参数约束,以估计表面PM水平的整体AOT贡献。虽然有几项研究表明了有希望的结果,但是,对于可用卫星衍生的AOT产品的空间分辨率,仍然存在一个主要的缺点,该产品衍生的AOT产品达到了Modis和Globaerosol产品案例的10公里×10公里。本研究旨在使用Meris / Aatsr协同算法的AOT空间分布来量化在希腊雅典更广泛的城市地区的表面PM10集中度[3]。使用该算法,AOT可以以1km×1 km空间分辨率导出。使用4年的PM10接地测量,使用多变量回归技术来估计PM10作为Meris / Aatsr衍生的AOT的功能和一些MODIS级别2大气参数(与表面温度和湿度相关,以及大气静态稳定性),以5公里×5公里的空间分辨率。我们的方法可以轻松扩展到Sentnel3观察,因为它们能够提取有关所有上述参数的信息。

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