Optimal interpolation to re-analyse PM10 concentration modelling simulations

Author

Candiani, Gabriele ; Carnevale, Claudio ; Filisina, Veronica ; Finzi, Giovanna ; Pisoni, Enrico ; Volta, Marialuisa

Author_Institution

Dept. of Electron. for Autom., Univ. of Brescia, Brescia, Italy

fYear

2009

fDate

15-18 Dec. 2009

Firstpage

1794

Lastpage

1799

Abstract

An optimal interpolation technique is formalized and applied to the output of an air quality deterministic model in order to improve the description of the evolution of pollutant (namely particulate matter, PM10) in atmosphere. The paper presents an application of the methodology to the Northern Italy region, often affected by high concentration of PM10. The validation of the methodology performed for winter 2004 shows that the re-analysis highly improves the description of the phenomena both in terms of mean error and correlation coefficient.

Keywords

aerosols; air pollution; atmospheric composition; interpolation; Northern Italy region; PM10 concentration modelling simulations; TCAM model; air quality deterministic model; correlation coefficient; mean error; optimal interpolation technique; particulate matter; pollutant evolution; transport chemical aerosol model; Aerodynamics; Aerosols; Atmosphere; Atmospheric modeling; Chemicals; Computational modeling; Interpolation; Meteorology; Monitoring; Pollution measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on

Conference_Location

Shanghai

ISSN

0191-2216

Print_ISBN

978-1-4244-3871-6

Electronic_ISBN

0191-2216

Type

conf

DOI

10.1109/CDC.2009.5399873

Filename

5399873