Paper Info
Title
Optimal interpolation to re-analyse PM10 concentration modelling simulations
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.
Year
DOI
Venue
2009
10.1109/CDC.2009.5399873
Shanghai
Keywords
Field
DocType
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
Correlation coefficient,Mathematical optimization,Particulates,Noise measurement,Computer science,Interpolation,Mean squared error,Atmospheric model,Air quality index,Deterministic system
Conference
ISSN
ISBN
Citations 
0191-2216 E-ISBN : 978-1-4244-3872-3
978-1-4244-3872-3
0
PageRank 
References 
Authors
0.34
2
4
Name
Order
Citations
PageRank
Candiani, G.100.34
Claudio Carnevale2518.60
Filisina, V.300.34
Giovanna Finzi4406.95