Uncertainties in estimates of mortality attributable to ambient PM2.5 in Europe

The assessment of health impacts associated with airborne particulate matter smaller than 2.5 μ m in diameter (PM _2.5 ) relies on aerosol concentrations derived either from monitoring networks, satellite observations, numerical models, or a combination thereof. When global chemistry-transport model...

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Main Authors: Jonilda Kushta, Andrea Pozzer, Jos Lelieveld
Format: Article
Language:English
Published: IOP Publishing 2018-01-01
Series:Environmental Research Letters
Subjects:
Online Access:https://doi.org/10.1088/1748-9326/aabf29
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author Jonilda Kushta
Andrea Pozzer
Jos Lelieveld
author_facet Jonilda Kushta
Andrea Pozzer
Jos Lelieveld
author_sort Jonilda Kushta
collection DOAJ
description The assessment of health impacts associated with airborne particulate matter smaller than 2.5 μ m in diameter (PM _2.5 ) relies on aerosol concentrations derived either from monitoring networks, satellite observations, numerical models, or a combination thereof. When global chemistry-transport models are used for estimating PM _2.5 , their relatively coarse resolution has been implied to lead to underestimation of health impacts in densely populated and industrialized areas. In this study the role of spatial resolution and of vertical layering of a regional air quality model, used to compute PM _2.5 impacts on public health and mortality, is investigated. We utilize grid spacings of 100 km and 20 km to calculate annual mean PM _2.5 concentrations over Europe, which are in turn applied to the estimation of premature mortality by cardiovascular and respiratory diseases. Using model results at a 100 km grid resolution yields about 535 000 annual premature deaths over the extended European domain (242 000 within the EU-28), while numbers approximately 2.4% higher are derived by using the 20 km resolution. Using the surface (i.e. lowest) layer of the model for PM _2.5 yields about 0.6% higher mortality rates compared with PM _2.5 averaged over the first 200 m above ground. Further, the calculation of relative risks (RR) from PM _2.5 , using 0.1 μ g m ^−3 size resolution bins compared to the commonly used 1 μ g m ^−3 , is associated with ±0.8% uncertainty in estimated deaths. We conclude that model uncertainties contribute a small part of the overall uncertainty expressed by the 95% confidence intervals, which are of the order of ±30%, mostly related to the RR calculations based on epidemiological data.
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spelling doaj.art-3b7b998cc2d541c7a5935784deb064922023-08-09T14:34:32ZengIOP PublishingEnvironmental Research Letters1748-93262018-01-0113606402910.1088/1748-9326/aabf29Uncertainties in estimates of mortality attributable to ambient PM2.5 in EuropeJonilda Kushta0https://orcid.org/0000-0003-3695-9267Andrea Pozzer1https://orcid.org/0000-0003-2440-6104Jos Lelieveld2https://orcid.org/0000-0001-6307-3846Energy , Environment and Water Research Centre (EEWRC), The Cyprus Institute, Nicosia, 2121, Cyprus; Author to whom any correspondence should be addressed.Max Planck Institute for Chemistry , Mainz, 55128, GermanyEnergy , Environment and Water Research Centre (EEWRC), The Cyprus Institute, Nicosia, 2121, Cyprus; Max Planck Institute for Chemistry , Mainz, 55128, GermanyThe assessment of health impacts associated with airborne particulate matter smaller than 2.5 μ m in diameter (PM _2.5 ) relies on aerosol concentrations derived either from monitoring networks, satellite observations, numerical models, or a combination thereof. When global chemistry-transport models are used for estimating PM _2.5 , their relatively coarse resolution has been implied to lead to underestimation of health impacts in densely populated and industrialized areas. In this study the role of spatial resolution and of vertical layering of a regional air quality model, used to compute PM _2.5 impacts on public health and mortality, is investigated. We utilize grid spacings of 100 km and 20 km to calculate annual mean PM _2.5 concentrations over Europe, which are in turn applied to the estimation of premature mortality by cardiovascular and respiratory diseases. Using model results at a 100 km grid resolution yields about 535 000 annual premature deaths over the extended European domain (242 000 within the EU-28), while numbers approximately 2.4% higher are derived by using the 20 km resolution. Using the surface (i.e. lowest) layer of the model for PM _2.5 yields about 0.6% higher mortality rates compared with PM _2.5 averaged over the first 200 m above ground. Further, the calculation of relative risks (RR) from PM _2.5 , using 0.1 μ g m ^−3 size resolution bins compared to the commonly used 1 μ g m ^−3 , is associated with ±0.8% uncertainty in estimated deaths. We conclude that model uncertainties contribute a small part of the overall uncertainty expressed by the 95% confidence intervals, which are of the order of ±30%, mostly related to the RR calculations based on epidemiological data.https://doi.org/10.1088/1748-9326/aabf29mortality estimatesregional atmospheric modelsimpact of aerosols on human healthuncertainties in PM2.5
spellingShingle Jonilda Kushta
Andrea Pozzer
Jos Lelieveld
Uncertainties in estimates of mortality attributable to ambient PM2.5 in Europe
Environmental Research Letters
mortality estimates
regional atmospheric models
impact of aerosols on human health
uncertainties in PM2.5
title Uncertainties in estimates of mortality attributable to ambient PM2.5 in Europe
title_full Uncertainties in estimates of mortality attributable to ambient PM2.5 in Europe
title_fullStr Uncertainties in estimates of mortality attributable to ambient PM2.5 in Europe
title_full_unstemmed Uncertainties in estimates of mortality attributable to ambient PM2.5 in Europe
title_short Uncertainties in estimates of mortality attributable to ambient PM2.5 in Europe
title_sort uncertainties in estimates of mortality attributable to ambient pm2 5 in europe
topic mortality estimates
regional atmospheric models
impact of aerosols on human health
uncertainties in PM2.5
url https://doi.org/10.1088/1748-9326/aabf29
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