Regional mobility patterns and exposure to environmental stressors: effects on the health risk assessments due to air pollution

Lorenza Gilardi; Mattia Marconcini; Annekatrin Metz-Marconcini; Thomas Esch; Hannes Taubenboeck; Thilo Erbertseder

doi:10.1117/12.3000174

20 October 2023 Regional mobility patterns and exposure to environmental stressors: effects on the health risk assessments due to air pollution

Lorenza Gilardi, Mattia Marconcini, Annekatrin Metz-Marconcini, Thomas Esch, Hannes Taubenboeck, Thilo Erbertseder

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Proceedings Volume 12735, Remote Sensing Technologies and Applications in Urban Environments VIII; 127350G (2023) https://doi.org/10.1117/12.3000174
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands

Abstract

This study presents a methodology for conducting a retrospective and indirect health risk assessment in urban areas, due to the long-term exposure to particulate matter (PM2.5), nitrogen dioxide (NO2), ozone (O3). Specifically, the risk of all-causes mortality is investigated. The methodology combines satellite-based settlement data, model-based air pollution data, land use information, demographic data, and regional-scale mobility patterns. The study examines the impact of population mobility on the population exposure and daily variations in pollutant levels on health risks. The results from the study show that neglecting the mobility patterns and the diurnal cycles of pollutants can lead to an underestimation of the health risk. The incorporation of satellite and model data makes this methodology scalable to perform a health risk assessment also in remote regions, where local sensors are limited. Additional studies are required to assess the uncertainty in the exposure when using these medium to- low resolution data.

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Lorenza Gilardi, Mattia Marconcini, Annekatrin Metz-Marconcini, Thomas Esch, Hannes Taubenboeck, and Thilo Erbertseder "Regional mobility patterns and exposure to environmental stressors: effects on the health risk assessments due to air pollution", Proc. SPIE 12735, Remote Sensing Technologies and Applications in Urban Environments VIII, 127350G (20 October 2023); https://doi.org/10.1117/12.3000174

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KEYWORDS

Risk assessment

Air contamination

Data modeling

Nitrogen dioxide

Satellites

Model-based design

Ozone

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