Bayesian data fusion for space-time prediction of air pollutants: The case of NO2 in Belgium

Atmospheric Environment

Volumn 43, Issue 30, 2009, Pages 4632-4645

  Fasbender, D ^a   Brasseur, O ^b   Bogaert, P ^a  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^b Belgian Interregional Environment Agency   (Belgium)

Author keywords

Data merging; Kriging; Stochastic method

Indexed keywords

AIR CONCENTRATIONS; AIR POLLUTANTS; ANTHROPOGENIC ACTIVITY; BAYESIAN DATA FUSIONS; BELGIUM; DATA MERGING; ENVIRONMENTAL DEGRADATION; EUROPEAN DIRECTIVE; INFORMATION SOURCES; KRIGING; METEOROLOGICAL VARIABLES; NITROGEN DIOXIDES; POLLUTANT CONCENTRATION; SPECIFIC KNOWLEDGE; STOCHASTIC METHOD; TIME PROPERTIES; WATER CONTAMINATION;

AIR QUALITY; BAYESIAN NETWORKS; DATA FUSION; INFORMATION FUSION; LAWS AND LEGISLATION; MERGING; NITROGEN OXIDES; SOIL POLLUTION; WATER POLLUTION; WEATHER FORECASTING;

WATER TREATMENT;

NITROGEN DIOXIDE;

ATMOSPHERIC POLLUTION; BAYESIAN ANALYSIS; CONCENTRATION (COMPOSITION); DATA MINING; KRIGING; NITROGEN DIOXIDE; PREDICTION; PROBABILITY; STOCHASTICITY; THRESHOLD;

AIR ANALYSIS; AIR POLLUTION; ARTICLE; BAYES THEOREM; BELGIUM; CONCENTRATION PROCESS; CONTROLLED STUDY; DATA EXTRACTION; FORECASTING; KRIGING; METEOROLOGICAL PHENOMENA; POLLUTION MONITORING; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; TIME SERIES ANALYSIS;

BELGIUM; BENELUX; EURASIA; EUROPE; WESTERN EUROPE;

EID: 68949192783     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2009.05.036     Document Type: Article

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