A statistical framework for model based air quality indicators and population risk evaluation

This paper is devoted to the development of a statistical framework for air quality assessment at country level and for the evaluation of the ambient population exposure and risk with respect to airborne pollutants. The framework is based on a dynamic coregionalization model which copes with the data complexity and is able to provide high resolution multipollutant dynamic maps. Air quality indicators based on latent variables, exposure indicators and risk indicators are defined at different aggregation levels in space and time and they are evaluated, uncertainty included, on observed air quality data for Scotland for 2009.