Night-time Remote Sensing of Fine Particulate Matter in the near Ground Atmosphere by Ground-based Hyperspectral Imaging
نویسندگان
چکیده
Spatiotemporal variations in attributes of particulate matter (PM) in ambient air are important estimates of environmental pollution and public health risks. In particularly, the exposure to fine PM, with count mean diameters of less than 4μm, has been associated with undesirable health effects. Therefore, methodologies that analyze the size profiles of fine PM in ambient air segments at ground-level are entailed. Indeed, remote sensing in the visible-NIR range has already been engaged in measuring the multispectral signatures of PM, providing estimated size distributions of fine PM in atmospheric columns. However, the solar-based measurements require daylight and provide PM profiles in vertical atmospheric columns that do not correlate well with the ground-level PM attributes in an urban-scale resolution, which is the most relevant to public health. A ground hyperspectral camera was used for imaging illuminating targets through horizontal, urbanscale, open paths in order to detect effects of fine PM in spatial segments stretched between the camera and chosen targets. Spectra were acquired in the range of 400-1100nm which corresponds to fine PM in between 0.5-2μm. The aim of this study was to design an imaging procedure and apply a proper target selection, in order to detect changes in the size resolved PM concentrations. A nighttime imaging was implemented as a new source for information using remote street lights emission, instead of commonly used reflectance. Change detection was demonstrated for haze event with comparison to emission spectra acquired through clear ambient air. * Corresponding author
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تاریخ انتشار 2009