A cokriging based approach to reconstruct air pollution maps, processing measurement station concentrations and deterministic model simulations

  • Authors:

  • Vikas Singh;Claudio Carnevale;Giovanna Finzi;Enrico Pisoni;Marialuisa Volta

  • Affiliations:

  • Department of Electronics for Automation, University of Brescia, Via Branze 38, I-25123 Brescia, Italy;Department of Electronics for Automation, University of Brescia, Via Branze 38, I-25123 Brescia, Italy;Department of Electronics for Automation, University of Brescia, Via Branze 38, I-25123 Brescia, Italy;Department of Electronics for Automation, University of Brescia, Via Branze 38, I-25123 Brescia, Italy;Department of Electronics for Automation, University of Brescia, Via Branze 38, I-25123 Brescia, Italy

  • Venue:
  • Environmental Modelling & Software
  • Year:
  • 2011

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Abstract

One of the aims of regional Environmental Authorities is to provide citizens information about the quality of the atmosphere over a certain region. To reach this objective Environmental Authorities need suitable tools to interpolate the data coming from monitoring networks to domain locations where no measures are available. In this work a spatial interpolation system has been developed to estimate 8-h mean daily maximum ozone concentrations and daily mean PM10 concentrations over a domain, starting from measured concentration values. The presented approach is based on a cokriging technique, using the results of a deterministic Chemical Transport Model (CTM) simulation as secondary variable. The developed methodology has been tested over a 60 x 60 km^2 domain located in Northern Italy, including Milan metropolitan area, one of the most polluted areas in Europe.