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Substantial reduction in particulate matter air pollution across Europe during 2006-2019: a spatiotemporal modeling analysis

Beloconi, A. and Vounatsou, P.. (2021) Substantial reduction in particulate matter air pollution across Europe during 2006-2019: a spatiotemporal modeling analysis. Environmental science & technology, 55 (22). pp. 15505-15518.

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Official URL: https://edoc.unibas.ch/88887/

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Abstract

Air pollution poses the largest environmental health risk in Europe. Particulate matter (PM) concentrations are the most harmful pollutants representing the main air quality indicator in the Sustainable Development Goals (SDGs). The air quality surveillance in Europe is based on a monitoring network that is too coarse for a comprehensive evaluation of the air pollution burden. We link raw pollutant data with remotely sensed products using Bayesian geostatistical models and for the first time estimate pan-European near-surface concentrations of both fine (PM2.5) and coarse (PM10) particles at 1 km(2) spatial resolution during 2006-2019. We evaluate the compliance with the air quality thresholds set by the World Health Organization (WHO) and the European Union (EU) and assess country-wise trends. The results show that during the last 14 years, PM10 and PM2.5 concentrations declined by 36.5% (95% credible interval: 30.3, 41.9%) and 39.1% (26.6, 50.5%), respectively. The number of people exposed to PM10 levels above the WHO thresholds decreased from 78.3% (52.6, 91.8%) in 2006 to 28.4% (16.2, 43.7%) in 2019; for PM2.5, the decrease was smaller: from 91.0% (61.3, 99.1%) exposed in 2006 to 53.6% (33.5, 76.3%) in 2019. Although there is a clear improvement in the overall picture, stricter measures are needed to ensure compliance with the WHO guidelines.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Biostatistics > Bayesian Modelling and Analysis (Vounatsou)
UniBasel Contributors:Beloconi, Anton and Vounatsou, Penelope
Item Type:Article, refereed
Article Subtype:Research Article
ISSN:0013-936X
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:19 Dec 2022 10:14
Deposited On:19 Dec 2022 10:14

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