Modeling and prediction of hourly ambient ozone (O3) and oxides of nitrogen (NOx) concentrations using artificial neural network and decision tree algorithms for an urban intersection in India

Journal of Hazardous, Toxic, and Radioactive Waste

Volumn 20, Issue 4, 2016, Pages

  Sekar, Chandrra ^a   Ojha, C S P ^a   Gurjar, B R ^a   Goyal, Manish Kumar ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI   (India)

Author keywords

Air pollution; Ambient air quality; Artificial neural network; Decision tree; Meteorology; Prediction; Traffic intersection

Indexed keywords

AIR POLLUTION; AIR QUALITY; ATMOSPHERIC MOVEMENTS; DATA MINING; DECISION TREES; ERRORS; FORECASTING; METEOROLOGY; NEURAL NETWORKS; NITROGEN; NITROGEN OXIDES; OZONE; TREES (MATHEMATICS);

AMBIENT AIR CONCENTRATION; AMBIENT AIR QUALITY; COEFFICIENT OF CORRELATION; DECISION-TREE ALGORITHM; MODELING AND PREDICTIONS; NORMALIZED MEAN SQUARE ERROR; ROOT MEAN SQUARE ERRORS; TRAFFIC INTERSECTIONS;

MEAN SQUARE ERROR;

AIR QUALITY; ALGORITHM; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); MEGACITY; NITROGEN OXIDES; OZONE; TRAFFIC EMISSION;

INDIA;

EID: 84988600946     PISSN: 21535493     EISSN: 21535515     Source Type: Journal    
DOI: 10.1061/(ASCE)HZ.2153-5515.0000270     Document Type: Article

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