Presentation + Paper
23 September 2021 Urban air pollution exposure: an assessment exploiting world settlement footprint and land use data
Author Affiliations +
Abstract
The majority of the population in Europe that is exposed to air pollution levels exceeding the WHO limit values lives in metropolitan areas. There are already several studies that assess the linkage between air pollution and adverse effects on health. With the technology at our disposition, today, we can identify air pollution hotspots. The assessment of the pollution situation alone represents, however, only one component of the whole picture. In order to be able to build a scale that identifies the most critical regions in higher need of intervention, also the probability of exposure and the number of people exposed to defined pollution concentrations must be considered. For this purpose, we can benefit from satellite-derived data products of settlement extent, population density and land use. To improve the health risk assessment, novel data sets have been synergistically exploited for the first time. In this work a method is proposed to perform an assessment of the increased health risk within urban areas in Europe due to the exposure to PM2.5 and to calculate the health burden index HBI: a useful parameter for the assessment of health risk that provides a measure of the impact of air pollution and enables to perform comparisons between different cities. This is a first approach showing the potential of this easily scalable tool that can be of support in the decision-making process and in the research on air pollution/health relationship. Further work is required for the verification and tuning of the initial hypotheses by means of validation with real-life data.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
L. Gilardi, A. Metz-Marconcini, M. Marconcini, and T. Erbertseder "Urban air pollution exposure: an assessment exploiting world settlement footprint and land use data", Proc. SPIE 11864, Remote Sensing Technologies and Applications in Urban Environments VI, 1186406 (23 September 2021); https://doi.org/10.1117/12.2600414
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KEYWORDS
Air contamination

Pollution

Satellites

Data modeling

Remote sensing

Spatial resolution

Roads

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