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A model-based framework for air quality indices and population risk evaluation, with an application to the analysis of Scottish air quality data
Article first published online: 22 JAN 2013
© 2013 Royal Statistical Society
Journal of the Royal Statistical Society: Series C (Applied Statistics)
Volume 62, Issue 2, pages 287–308, March 2013
How to Cite
Finazzi, F., Scott, E. M. and Fassò, A. (2013), A model-based framework for air quality indices and population risk evaluation, with an application to the analysis of Scottish air quality data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 62: 287–308. doi: 10.1111/rssc.12001
- Issue published online: 21 FEB 2013
- Article first published online: 22 JAN 2013
- [Received July 2011. Final revision September 2012]
- Air quality indices;
- Ambient exposure and risk;
- Multivariate space–time models;
- Unbalanced networks
Summary. The paper is devoted to the development of a statistical framework for air quality assessment at the country level and for the evaluation of the ambient population exposure and risk with respect to airborne pollutants. The framework is based on a multivariate space–time model and on aggregated indices defined at different levels of aggregation in space and time. The indices are evaluated, uncertainty included, by considering both the model outputs and the information on the population spatial distribution. The framework is applied to the analysis of air quality data for Scotland for 2009 referring to European and Scottish air quality legislation.