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Urban air pollution exposure: an assessment exploiting world settlement footprint and land use data

Gilardi, Lorenza and Metz-Marconcini, Annekatrin and Marconcini, Mattia and Erbertseder, Thilo (2021) Urban air pollution exposure: an assessment exploiting world settlement footprint and land use data. SPIE-Remote Sensing, 13-16 Sept 2021, Madrid (online event). doi: 10.1117/12.2600414.

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Official URL: https://spie.org/Publications/Proceedings/Paper/10.1117/12.2600414

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.

Item URL in elib:https://elib.dlr.de/144516/
Document Type:Conference or Workshop Item (Speech)
Title:Urban air pollution exposure: an assessment exploiting world settlement footprint and land use data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Gilardi, LorenzaLorenza.Gilardi (at) dlr.dehttps://orcid.org/0000-0003-4472-8530
Metz-Marconcini, AnnekatrinAnnekatrin.Metz-Marconcini (at) dlr.deUNSPECIFIED
Marconcini, MattiaMattia.Marconcini (at) dlr.dehttps://orcid.org/0000-0002-5042-5176
Erbertseder, ThiloThilo.Erbertseder (at) dlr.dehttps://orcid.org/0000-0003-4888-1065
Date:September 2021
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:11864
DOI :10.1117/12.2600414
Editors:
EditorsEmailEditor's ORCID iD
Erbertseder, ThiloThilo.Erbertseder@dlr.dehttps://orcid.org/0000-0003-4888-1065
Chrysoulakis, Nektarioszedd2@iacm.forth.grhttps://orcid.org/0000-0002-5208-626X
Series Name:SPIE proceedings
Status:Published
Keywords:Air pollution exposure, health risk assessment, urban air pollution, world settlement footprint
Event Title:SPIE-Remote Sensing
Event Location:Madrid (online event)
Event Type:international Conference
Event Dates:13-16 Sept 2021
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Research under Space Conditions
DLR - Research area:Raumfahrt
DLR - Program:R FR - Research under Space Conditions
DLR - Research theme (Project):R - Environmental Stressors and Health ME/FE
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Atmosphere
German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Gilardi, Lorenza
Deposited On:06 Dec 2021 11:45
Last Modified:14 Jan 2022 11:36

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