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Comparing the aggregated health risk calculated from different Earth observation resources

Houdayer, Marion and Khorsandi, Ehsan and Handschuh, Jana and Baier, Frank and Erbertseder, Thilo (2021) Comparing the aggregated health risk calculated from different Earth observation resources. In: Proceedings of SPIE - The International Society for Optical Engineering, 11864, pp. 1-11. SPIE 11864, Remote Sensing Technologies and Applications in Urban Environments VI, 13-16 September, Online. doi: 10.1117/12.2599929. ISSN 0277-786X.

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Ambient air quality (AQ) is a recurrent issue in cities, exacerbated in low- and middle-income countries. Global AQ impacts on health can be assessed using an aggregated health risk indicator (ƩRIs), derived from in-situ stations, chemical transport models (CTMs) or satellite data. AQ monitoring is well covered in the city of Munich (Germany): in-situ stations, POLYPHEMUS CTM with three domains, CAMS-Reanalysis of the regional model ensemble and satellite data from MODIS. From these data sets, the ƩRIs was calculated considering four major air pollutants (NO2, PM10, PM2.5, O3), using their respective relative risk for the mortality-all causes health end-point. Then, the ƩRIs from the models and the satellite data were compared to the ƩRIs in-situ by means of basic statistics, time series and violin plots and the mean relative difference (MRD). Using the ƩRIs allows to further observe the contribution of individual pollutants to the index. For the mortality all causes health end point between 2017 and 2018, ground observations and CTMs show an increase of ca. 12-13% when exposed to ambient air pollution. The difference between traffic and background stations can be observed: ƩRIs in situ mean is higher at the traffic station than at the background stations. This order is however reversed when considering ƩRIs mean from the models. The four CTMs simulate the ƩRIs well and its seasonality is also represented. Most of the data are spread around the mean and the median for all data sets and stations with an overall distribution skewed towards high values. With 0.5<r2<0.6, POLYPHEMUS/DLR yields medium correlation, regardless the domain, while CAMS-Reanalysis returns high correlation (r2 ≈ 0.8) for all the studied stations. The MRD indicates an underestimation of the ƩRIs by CAMS-Reanalysis, while POLYPHEMUS tends to overestimate it for the larger domains (positive MRD). The difference in the r2 between the two CTMs is due to their singularities: POLYPHEMUS/DLR uses free runs while CAMS-Reg uses a data assimilation process with station measurements (among them the two studied background stations). The overestimation of Johanneskirchen by POLYPHEMUS/DLR comes from its location nearby a power plant and the wind direction. Finally, the very high values in early 2017 can be explained by fireworks, which are not reproduced by models. It is show in this study that estimating a global health risk from air pollution is possible using in-situ measurements, models and satellite. Finally, satellite data can be helpful to assess the ƩRIs worldwide.

Item URL in elib:https://elib.dlr.de/144518/
Document Type:Conference or Workshop Item (Speech)
Title:Comparing the aggregated health risk calculated from different Earth observation resources
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Houdayer, MarionMarion.Houdayer (at) dlr.deUNSPECIFIED
Khorsandi, EhsanEhsan.Khorsandi (at) dlr.deUNSPECIFIED
Handschuh, JanaJana.Handschuh (at) dlr.deUNSPECIFIED
Baier, FrankFrank.Baier (at) dlr.deUNSPECIFIED
Erbertseder, ThiloThilo.Erbertseder (at) dlr.deUNSPECIFIED
Date:September 2021
Journal or Publication Title:Proceedings of SPIE - The International Society for Optical Engineering
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1117/12.2599929
Page Range:pp. 1-11
Keywords:Air pollution, remote sensing, earth observation, health, data set comparison
Event Title:SPIE 11864, Remote Sensing Technologies and Applications in Urban Environments VI
Event Location:Online
Event Type:international Conference
Event Dates:13-16 September
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 - Geoproducts and systems, services
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Atmosphere
Deposited By: Houdayer, Marion
Deposited On:24 Nov 2021 11:09
Last Modified:24 Nov 2021 11:09

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