Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2.5 concentrations using artificial neural networks, in Thessaloniki and Helsinki
- Author
- VOUKANTSIS, Dimitris1 ; KARATZAS, Kostas1 ; KUKKONEN, Jaakko2 ; RÄSÄNEN, Teemu3 ; KARPPINEN, Ari2 ; KOLEHMAINEN, Mikko3
[1] Department of Mechanical Engineering, Informatics Applications and Systems Group, Aristotle University, P.O. Box 483, 54124, Thessaloniki, Greece
[2] Finnish Meteorological Institute. P.O. Box 503, 00101, Helsinki, Finland
[3] Department of Environmental Science, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland - Source
Science of the total environment. 2011, Vol 409, Num 7, pp 1266-1276, 11 p ; ref : 3/4 p
- CODEN
- STENDL
- ISSN
- 0048-9697
- Scientific domain
- Ecology; Environment; Pollution; Toxicology
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Air pollution Artificial neural networks Atmospheric quality comparison and forecasting Multi-layer perceptron Particulate matter Principal component analysis
- Keyword (fr)
- Analyse composante principale Aérosol Condition météorologique Distribution concentration Donnée observation Etude comparative Particule fine Particule grosse Perceptron multicouche Pollution air Prévision pollution atmosphérique Qualité air Réseau neuronal Zone urbaine Finlande Grèce Europe
- Keyword (en)
- Principal component analysis Aerosols Atmospheric condition Concentration distribution Observation data Comparative study Fine particle Coarse particle Multilayer perceptrons Air pollution Atmospheric pollution forecasting Air quality Neural network Urban area Finland Greece Europe
- Keyword (es)
- Análisis componente principal Aerosol Condición meteorológica Distribución concentración Dato observación Estudio comparativo Partícula fina Partícula gruesa Contaminación aire Previsión contaminación del ambiente Calidad aire Red neuronal Zona urbana Finlandia Grecia Europa
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D16 Pollution / 001D16C Atmospheric pollution / 001D16C02 Pollutants physicochemistry study: properties, effects, reactions, transport and distribution
- Discipline
- Pollution
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 23910949
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.scitotenv.2010.12.039 
https://dx.doi.org/10.1016/j.scitotenv.2010.12.039
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