Bayesian data fusion for space-time prediction of air pollutants: The case of NO sub(2) in Belgium

In the beginning of the 21st century, it is obvious that health and environmental matters are among the most important political and societal topics. The various kinds of pollution (e.g. air pollution, soil pollution, water contamination) are responsible for significant health and environmental degr...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Atmospheric environment (1994) 2009-09, Vol.43 (30), p.4632-4645
Hauptverfasser:	Fasbender, D, Brasseur, O, Bogaert, P
Format:	Artikel
Sprache:	eng
Schlagworte:	Air pollution Data fusion Data integration Health Information sources Nitrogen dioxide Pollutants Water pollution
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!