Neural network-based study for predicting ground-level ozone concentration in large urban areas, applied to the São Paulo metropolitan area

International Journal of Environment and Pollution

Volumn 22, Issue 4, 2004, Pages 441-459

  Guardani, Roberto ^a,b   Nascimento, C A O ^a,b  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b Ctr for Chem Systems Engineering   (Brazil)

Author keywords

Air pollution; Mathematical modelling; Neural networks; Ozone

Indexed keywords

AIR QUALITY; MATHEMATICAL MODELS; METEOROLOGY; NEURAL NETWORKS; OZONE; URBAN PLANNING;

GROUND-LEVEL OZONE; LARGE URBAN AREAS; PUBLIC HEALTH; SÃO PAULO METROPOLITAN AREA (SPMA); WEATHER PREDICTION TOOLS;

AIR POLLUTION;

OZONE;

AIR QUALITY; ATMOSPHERIC POLLUTION; GROUND-BASED MEASUREMENT; MODELING; OZONE;

AIR MONITORING; AIR POLLUTION; AIR QUALITY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAZIL; MATHEMATICAL MODEL; METEOROLOGY; PUBLIC HEALTH; URBAN AREA; WEATHER;

BRAZIL; SAO PAULO [BRAZIL]; SOUTH AMERICA; WESTERN HEMISPHERE; WORLD;

EID: 9644268024     PISSN: 09574352     EISSN: None     Source Type: Journal    
DOI: 10.1504/IJEP.2004.005680     Document Type: Article

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