Ground-level ozone prediction using a neural network model based on meteorological variables and applied to the metropolitan area of São Paulo

International Journal of Environment and Pollution

Volumn 49, Issue 1-2, 2012, Pages 1-15

  Borges, Alessandro Santos ^a   De Fátima Andrade, Maria ^a   Guardani, Roberto ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Air pollution in megacities; Neural network; Ozone forecast; Tropospheric ozone

Indexed keywords

FORECASTING; NEURAL NETWORKS; OZONE;

AIR POLLUTION IN MEGACITIES; CORRELATION COEFFICIENT; GROUND-LEVEL OZONE; METEOROLOGICAL VARIABLES; NEURAL NETWORK MODEL; OZONE CONCENTRATION; OZONE FORECAST; TROPOSPHERIC OZONE;

AIR POLLUTION;

OZONE;

ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC POLLUTION; CLIMATE PREDICTION; CONCENTRATION (COMPOSITION); MEGACITY; METROPOLITAN AREA; OZONE; TROPOSPHERE; WEATHER FORECASTING;

ARTICLE; CORRELATION COEFFICIENT; METEOROLOGY; NERVE CELL NETWORK; PREDICTION;

BRAZIL; SAO PAULO [BRAZIL];

EID: 84867655708     PISSN: 09574352     EISSN: 17415101     Source Type: Journal    
DOI: 10.1504/IJEP.2012.049730     Document Type: Article

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