DocumentCode :
3299658
Title :
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
Link To Document :
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