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.

FINAZZI, Francesco, Scott, Marian E., FASSO', Alessandro, (2012). A statistical framework for model based air quality indicators and population risk evaluation 2/MS (2012)). Bergamo: Retrieved from http://hdl.handle.net/10446/68221

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

FINAZZI, Francesco;FASSO', Alessandro
2012-01-01

Abstract

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.
2012
Finazzi, Francesco; Scott, Marian E.; Fasso', Alessandro
File allegato/i alla scheda:
File Dimensione del file Formato  
ms2_2012.pdf

accesso aperto

Versione: publisher's version - versione editoriale
Licenza: Licenza default Aisberg
Dimensione del file 4.22 MB
Formato Adobe PDF
4.22 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/68221
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact