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Aerosols detection for urban air pollution monitoring

机译:用于城市空气污染监测的气溶胶检测

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In the context of reducing the impact of atmospheric pollution on public health in cities. Previous studies have shown that optical sensors aboard satellites may be sensitive to the level of pollution because of the relation between radiances and aerosol loading and especially particulate matter (PM). The purpose of this paper is to add to this evidence by studying cloud-free satellite images and ground measurements, and then to show that urban aerosols concentrations variations can be detected and quantified by the means of satellite images. We used the radiative transfer model (6S). We simulated the reflectance at pixel level in the Landsat-TM bands. The effects and contributions of parameters (H_2O content, O_3 content, albedo, aerosols and atmosphere optical thickness) are studied thanks to experimental design approach. Change in aerosol loading is the major contributor to change in reflectance. We thus demonstrate and quantify the sensitivity of reflectance to PM. We find that channel TM4 (~ 815 nm) of Landsat is the appropriate band. However, when taking into account the gain of the sensor, we recommend TM1. On TM1 image, a difference of 71 DN (digital number) represents a variation of 120 μg/m~3. The minimal concentration variation detectable is around 2.6 μg/m~3. Results from observations (ground measurements and DN on satellites images) are in good agreement with simulations. In particular, an empirical model that converts DN into [PM] confirms simulations.
机译:在减少大气污染对城市公共卫生的影响的背景下。先前的研究表明,卫星上的光学传感器可能对污染程度敏感,这是因为辐射与气溶胶负载(尤其是颗粒物(PM))之间的关系。本文的目的是通过研究无云的卫星图像和地面测量值来补充这一证据,然后表明可以通过卫星图像来检测和量化城市气溶胶浓度变化。我们使用了辐射传输模型(6S)。我们模拟了Landsat-TM波段像素级的反射率。通过实验设计方法研究了参数(H_2O含量,O_3含量,反照率,气溶胶和大气光学厚度)的影响和贡献。气溶胶载量的变化是反射率变化的主要因素。因此,我们证明并量化了反射对PM的敏感性。我们发现Landsat的TM4通道(〜815 nm)是合适的波段。但是,考虑到传感器的增益时,我们建议使用TM1。在TM1图像上,相差71 DN(数字)代表120μg/ m〜3的变化。可检测到的最小浓度变化约为2.6μg/ m〜3。观测结果(地面测量和卫星图像上的DN)与模拟结果非常吻合。特别是,将DN转换为[PM]的经验模型证实了模拟。

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