A neural network forecast for daily average PM10 concentrations in Belgium

Atmospheric Environment

Volumn 39, Issue 18, 2005, Pages 3279-3289

  Hooyberghs, Jef ^a   Mensink, Clemens ^a   Dumont, Gerwin ^b   Fierens, Frans ^b   Brasseur, Olivier ^c  

^a FLEMISH INSTITUTE FOR TECHNOLOGICAL RESEARCH VITO   (Belgium)

^b Belgian Interregional Environment Agency   (Belgium)

^c ROYAL METEOROLOGICAL INSTITUTE OF BELGIUM   (Belgium)

Author keywords

Air pollution; Boundary layer height; Neural networks; Particulate matter; Prediction

Indexed keywords

BOUNDARY LAYERS; FORECASTING; METEOROLOGY; NEURAL NETWORKS; URBAN PLANNING;

ANTHROPOGENIC SOURCES; ENVIRONMENTAL SCIENCES; PARTICULATE MATTER (PM); URBAN AREAS;

PARTICULATE EMISSIONS;

AIR QUALITY; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC POLLUTION; MODELING;

AIR POLLUTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; BELGIUM; FORECASTING; METEOROLOGY; PARTICULATE MATTER; POLLUTION MONITORING; PRIORITY JOURNAL; SIMULATION;

BELGIUM; BENELUX; EASTERN HEMISPHERE; EURASIA; EUROPE; WESTERN EUROPE; WORLD;

GOES;

EID: 19544377320     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2005.01.050     Document Type: Article

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