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Mapping air pollutants at municipality level in Italy and Spain in support to health impact evaluations

Air Quality, Atmosphere & Health volume 11, pages 69–82 (2018)Cite this article

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.

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Notes

  1. The national system: http://www.brace.sinanet.apat.it/

  2. The European air quality database: http://www.eea.europa.eu/data-and-maps/data/airbase-the-european-air-quality-database-7

  3. http://www.europa.eu/data-and-maps/data/corine-land-cover-2006-raster-2

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Acknowledgements

The research described in this article was conducted under the grant agreement European Commission, Environment LIFE12 ENV/IT/000834. The authors declare they have no actual or potential competing financial interests.

The authors wish to thank Nino Küenzli from Swiss Tropical and Public Health Institute and Xavier Querol from Institute for Environmental. Assessment and Water Research IDAEA-CSIC (Spanish Research Council) for their assistance during the project and their valuable suggestions.

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Authors and Affiliations

  1. Dipartimento Tematico Sistemi Previsionali, Qualitá dell’aria, ARPA Piemonte, Via Pio VII 9, 10135, Turin, TO, Italy

    Stefania Ghigo & Stefano Bande

  2. ENEA, Agenzia Nazionale per le Nuove Tecnologie, L’energia e lo Sviluppo Economico Sostenibile, Via Martiri di Monte Sole 4, 40129, Bologna, Italy

    Luisella Ciancarella, Mihaela Mircea, Antonio Piersanti & Gaia Righini

  3. Earth Sciences Department, Barcelona Supercomputing Center (BSC), C/ Jordi Girona 29, Edificio Nexus II, 08034, Barcelona, Spain

    José María Baldasano

  4. Environmental Modelling Laboratory, Technical University of Catalonia (UPC), Avda. Diagonal 647, Edificio H, Oficina 10.23, 08028, Barcelona, Spain

    José María Baldasano

  5. ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), C/Doctor Aiguader 88, 08003, Barcelona, Spain

    Xavier Basagaña

  6. Dipartimento Tematico Epidemiologia e Salute Ambientale, ARPA Piemonte, Via Pio VII 9, 10135, Turin, TO, Italy

    Ennio Cadum

Authors
  1. Stefania Ghigo
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  2. Stefano Bande
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  3. Luisella Ciancarella
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  4. Mihaela Mircea
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  5. Antonio Piersanti
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  6. Gaia Righini
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  7. José María Baldasano
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  8. Xavier Basagaña
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  9. Ennio Cadum
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on behalf of the MED HISS Study group

Corresponding author

Correspondence to Stefania Ghigo.

Additional information

Members of the LIFE MED HISS Study group: Italy: S. Bande, G. Berti, G. Briganti, E. Cadum, A. Cappelletti, P. Carná, L. Ciancarella, G. Cremona, M. Clemente, G. Costa, M. Demaria, R. De Maria, E. Ferracin, M. Gandini, S. Ghigo, R. Gnavi, M. Grosa, M. Mircea, R. Onorati, A. Piersanti, G. Righini, M. Rowinski, C. Scarinzi, T. Spadea, G. Zanini; France: N. Baïz, S. Banerjee, JF. Bertholon, A. Fouad, C. Maesano, AM. Magnier, S. Launois, I. Annesi-Maesano, A. Moustafa, S. Sanyal; Slovenia: K. Bitenc, I. Erzen, T. Grc̆a, A. Kukec, P. Otorepec, M. Rus, L. Zaletel-Krageli; Spain: D. Agis, G. Arévalo, J. M Baldasano, J. Barrera-Gómez, X. Basagaña, J. Benach, È. Martinez-Solanas.

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Ghigo, S., Bande, S., Ciancarella, L. et al. Mapping air pollutants at municipality level in Italy and Spain in support to health impact evaluations. Air Qual Atmos Health 11, 69–82 (2018). https://doi.org/10.1007/s11869-017-0520-x

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Keywords

  • Data fusion
  • Atmospheric pollution
  • CTM models
  • Health impact assessment
  • Upscaling