Improving the prediction of air pollution peak episodes generated by urban transport networks

Environmental Science and Policy

Volumn 60, Issue , 2016, Pages 69-83

  Catalano, Mario ^a   Galatioto, Fabio ^b   Bell, Margaret ^b   Namdeo, Anil ^b   Bergantino, Angela S ^c  

^a UNIVERSITY OF PALERMO   (Italy)

^b NEWCASTLE UNIVERSITY   (United Kingdom)

^c UNIVERSITY OF BARI   (Italy)

Author keywords

Air quality forecasting; ARIMAX model; Artificial neural network; Ensemble techniques; Exceedances of pollutant concentration limits; Nitrogen dioxide

Indexed keywords

NITROGEN DIOXIDE;

AIR POLLUTION; AIR QUALITY; ARTICLE; ENVIRONMENTAL MONITORING; EXHAUST GAS; FORECASTING; PRIORITY JOURNAL; RESEARCH; TIME SERIES ANALYSIS; TRAFFIC AND TRANSPORT; URBAN AREA;

EID: 84962273773     PISSN: 14629011     EISSN: 18736416     Source Type: Journal    
DOI: 10.1016/j.envsci.2016.03.008     Document Type: Article

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