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Mapping air pollutants at municipality level in Italy and Spain in support to health impact evaluations
Authors:Stefania?Ghigo  Stefano?Bande  Luisella?Ciancarella  Mihaela?Mircea  Antonio?Piersanti  Gaia?Righini  José?María?Baldasano  Xavier?Basaga?a  Ennio?Cadum
Affiliation:1.Dipartimento Tematico Sistemi Previsionali,Qualitá dell’aria, ARPA Piemonte,Turin,Italy;2.ENEA, Agenzia Nazionale per le Nuove Tecnologie, L’energia e lo Sviluppo Economico Sostenibile,Bologna,Italy;3.Earth Sciences Department,Barcelona Supercomputing Center (BSC),Barcelona,Spain;4.Environmental Modelling Laboratory,Technical University of Catalonia (UPC),Barcelona,Spain;5.ISGlobal, Centre for Research in Environmental Epidemiology (CREAL),Barcelona,Spain;6.Dipartimento Tematico Epidemiologia e Salute Ambientale,ARPA Piemonte,Turin,Italy
Abstract:
A growing health concern, due to poor air quality, recently led to an increased number of studies regarding air pollution effects on public health. Consequently, close attention is paid to estimation methods of exposure to atmospheric pollutants. This paper aims to meet a specific requirement of epidemiological researchers, that is providing annual air pollution maps at municipality scale for health impact assessment purposes on national basis. Firstly, data fusion through kriging with external drift is implemented, combining pollution data from two different sources, models and measurements, in order to improve the spatial distribution of surface concentrations at grid level. Then, the assimilated data of air pollution are upscaled, so as to obtain concentrations at municipality level. This methodology was applied to Italy and Spain (in Spain, only the second step was carried out since the modeled concentration already included an assimilation procedure). In both countries, for each municipality, an estimate of the concentration value for atmospheric pollutants of major concern for human health (PM10 and NO2) was provided, offering more relevant information from a surveillance point of view.
Keywords:
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