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

Gilardi, Lorenza and Marconcini, Mattia and Metz-Marconcini, Annekatrin and Taubenböck, Hannes and Erbertseder, Thilo (2023) Regional mobility patterns and exposure to environmental stressors: effects on the health risk assessments due to air pollution. SPIE Conference 2023, 2023-09-03 - 2023-09-06, Amsterdam. doi: 10.1117/12.3000174.

Full text not available from this repository.

Official URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12735/3000174/Regional-mobility-patterns-and-exposure-to-environmental-stressors--effects/10.1117/12.3000174.full?SSO=1

Abstract

Urban environments are often characterized by high levels of air pollution, representing a significant risk to human health. 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. For this purpose, relative risk values from the World Health Organization were used. The methodology combines various data sources that are available over a large geographical scale. They include: satellite-based settlement data, model-based air pollution data, land use information, demographic data, and regional-scale mobility patterns. By incorporating these factors, the study examines the impact of population mobility on the population exposure and daily variations in pollutant levels on health risks. As a results two health metrics are derived: The Health Risk Increase (HRI) and the Health Burden (HB). 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. This methodology tries to fill the data gap encountered when information on personal exposure are needed at population level. The incorporation of satellite and model data makes it scalable and easy tunable to perform a health risk assessment also in remote regions, where local sensors are limited, for example by using globally available pollution datasets. This methodology can be extended to cover the additional environmental stressors, like heat/cold stress, and health endpoints. and Additional studies are required to assess the uncertainty in the exposure when using these medium to- low resolution data.

Item URL in elib:https://elib.dlr.de/199811/
Document Type:Conference or Workshop Item (Speech)
Title:Regional mobility patterns and exposure to environmental stressors: effects on the health risk assessments due to air pollution
Authors:
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/0009-0002-3896-4705147617347
Taubenböck, HannesUNSPECIFIEDhttps://orcid.org/0000-0003-4360-9126UNSPECIFIED
Erbertseder, ThiloUNSPECIFIEDhttps://orcid.org/0000-0003-4888-1065UNSPECIFIED
Date:2023
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.1117/12.3000174
Series Name:Proc. SPIE 12735, Remote Sensing Technologies and Applications in Urban Environments , 127350G
Status:Published
Keywords:Exposure assessment, Air quality, Mobility, Air pollutants, Health risk, Environmental stressors
Event Title:SPIE Conference 2023
Event Location:Amsterdam
Event Type:international Conference
Event Start Date:3 September 2023
Event End Date:6 September 2023
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
German Remote Sensing Data Center > Geo Risks and Civil Security
German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Gilardi, Lorenza
Deposited On:28 Nov 2023 11:31
Last Modified:24 Apr 2024 21:00

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