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Long-term exposure and health risk assessment from air pollution: impact of regional scale mobility

Gilardi, Lorenza and Marconcini, Mattia and Metz-Marconcini, Annekatrin and Esch, Thomas and Erbertseder, Thilo (2023) Long-term exposure and health risk assessment from air pollution: impact of regional scale mobility. International Journal of Health Geographics, 22 (1), pp. 1-14. Springer Nature. doi: 10.1186/s12942-023-00333-8. ISSN 1476-072X.

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Official URL: https://dx.doi.org/10.1186/s12942-023-00333-8


The negative effect of air pollution on human health is widely reported in recent literature. It typically involves urbanized areas where the population is concentrated and where most primary air pollutants are produced. A comprehensive health risk assessment is therefore of strategic importance for health authorities. In this study we propose a methodology to perform an indirect and retrospective health risk assessment of all-cause mortality associated with long-term exposure to particulate matter less than 2.5 microns (PM2.5), nitrogen dioxide (NO2) and ozone (O3) in a typical Monday to Friday working week. A combination of satellite-based settlement data, model-based air pollution data, land use, demographics and regional scale mobility, allowed to examine the effect of population mobility and pollutants daily variations on the health risk. A Health Risk Increase (HRI) metric was derived on the basis of three components: hazard, exposure and vulnerability, utilizing the relative risk values from the World Health Organization. An additional metric, the Health Burden (HB) was formulated, which accounts for the total number of people exposed to a certain risk level. The effect of regional mobility patterns on the HRI metric was assessed, resulting in an increased HRI associated with all three stressors when considering a dynamic population compared to a static one. The effect of diurnal variation of pollutants was only observed for NO2 and O3. For both, the HRI metric resulted in significantly higher values during night. Concerning the HB parameter, we identified the commuting flows of the population as the main driver in the resulting metric. This indirect exposure assessment methodology provides tools to support policy makers and health authorities in planning intervention and mitigation measures. The study was carried out in Lombardy, Italy, one of the most polluted regions in Europe, but the incorporation of satellite data makes our approach valuable for studying global health.

Item URL in elib:https://elib.dlr.de/196355/
Document Type:Article
Title:Long-term exposure and health risk assessment from air pollution: impact of regional scale mobility
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Gilardi, LorenzaUNSPECIFIEDhttps://orcid.org/0000-0003-4472-8530UNSPECIFIED
Marconcini, MattiaUNSPECIFIEDhttps://orcid.org/0000-0002-5042-5176UNSPECIFIED
Metz-Marconcini, AnnekatrinUNSPECIFIEDhttps://orcid.org/0009-0002-3896-4705142535163
Esch, ThomasUNSPECIFIEDhttps://orcid.org/0000-0002-5868-9045UNSPECIFIED
Erbertseder, ThiloUNSPECIFIEDhttps://orcid.org/0000-0003-4888-1065UNSPECIFIED
Date:19 May 2023
Journal or Publication Title:International Journal of Health Geographics
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:pp. 1-14
Publisher:Springer Nature
Keywords:Exposure assessment, Air pollutants, Satellite‑based data, Dynamic population, Diurnal variability, Settlement mask
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Project Environmental Stressors and Health Costs
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Atmosphere
Deposited By: Erbertseder, Thilo
Deposited On:18 Sep 2023 09:29
Last Modified:19 Sep 2023 08:29

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