Global air quality: an inter-disciplinary approach to exposure assessment for burden of disease analyses

Shaddick, Gavin ORCID: https://orcid.org/0000-0002-4117-4264, Salter, James M., Peuch, Vincent-Henri, Ruggeri, Giulia, Thomas, Matthew L., Mudu, Pierpaolo, Tarasova, Oksana, Baklanov, Alexander and Gumy, Sophie 2020. Global air quality: an inter-disciplinary approach to exposure assessment for burden of disease analyses. Atmosphere 12 (1) , 48. 10.3390/atmos12010048

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Abstract

Global assessments of air quality and health require comprehensive estimates of the exposures to air pollution that are experienced by populations in every country. However, there are many countries in which measurements from ground-based monitoring are sparse or non-existent, with quality-control and representativeness providing additional challenges. While ground-based monitoring provides a far from complete picture of global air quality, there are other sources of information that provide comprehensive coverage across the globe. The World Health Organization developed the Data Integration Model for Air Quality (DIMAQ) to combine information from ground measurements with that from other sources, such as atmospheric chemical transport models and estimates from remote sensing satellites in order to produce the information that is required for health burden assessment and the calculation of air pollution-related Sustainable Development Goals indicators. Here, we show an example of the use of DIMAQ with the Copernicus Atmosphere Monitoring Service Re-Analysis (CAMSRA) of atmospheric composition, which represents the best practices in meteorology and climate monitoring that were developed under the World Meteorological Organization’s Global Atmosphere Watch programme. Estimates of PM2.5 from CAMSRA are integrated within the DIMAQ framework in order to produce high-resolution estimates of air pollution exposure that can be aggregated in a coherent fashion to produce country-level assessments of exposures.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	?? VCO ??
Publisher:	MDPI
ISSN:	2073-4433
Date of First Compliant Deposit:	1 August 2024
Date of Acceptance:	24 December 2020
Last Modified:	01 Aug 2024 14:14
URI:	https://orca.cardiff.ac.uk/id/eprint/170774

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