A cokriging based approach to reconstruct air pollution maps, processing measurement station concentrations and deterministic model simulations
Author
Singh, V.
Carnevale, C.
Finzi, G.
Pisoni, E.
Volta, M.
Attention
2299/10515
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 × 60 km domain located in Northern Italy, including Milan metropolitan area, one of the most polluted areas in Europe