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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

Finazzi, F., Scott, E.M., and Fasso, 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 (2). pp. 287-308. ISSN 0035-9254 (doi:10.1111/rssc.12001)

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Abstract

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.

Item Type:Article
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Finazzi, Dr Francesco and Scott, Prof E
Authors: Finazzi, F., Scott, E.M., and Fasso, A.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Journal of the Royal Statistical Society: Series C (Applied Statistics)
Publisher:Wiley-Blackwell
ISSN:0035-9254
ISSN (Online):1467-9876
Published Online:22 January 2013
Copyright Holders:Copyright © 2013 Royal Statistical Society
First Published:First published in Journal of the Royal Statistical Society: Series C (Applied Statistics) 62(2):287-308
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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