Modelling and analysis of ozone concentration by artificial intelligent techniques for estimating air quality

Atmospheric Environment

Volumn 150, Issue , 2017, Pages 356-365

  Taylan, Osman ^a  

^a KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

Air quality; ANFIS; Environmental factors; Modelling; Ozone level

Indexed keywords

AIR POLLUTION; AIR QUALITY; ARTIFICIAL INTELLIGENCE; ATMOSPHERIC HUMIDITY; ATMOSPHERIC PRESSURE; ENVIRONMENTAL PROTECTION AGENCY; FUZZY INFERENCE; GREENHOUSE GASES; MODELS; NITROGEN OXIDES; OZONE; POLLUTION; PUBLIC HEALTH; QUALITY CONTROL; SURGE PROTECTION; VOLATILE ORGANIC COMPOUNDS;

ADAPTIVE NEURO-FUZZY INFERENCE; ANFIS; ARTIFICIAL INTELLIGENT TECHNIQUES; ENVIRONMENT PROTECTION; ENVIRONMENTAL FACTORS; KINGDOM OF SAUDI ARABIA; MONITORING AND CONTROLLING; OZONE LEVELS;

AIR QUALITY STANDARDS;

NITROGEN OXIDE; OZONE;

AIR QUALITY; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); EMISSION; ENVIRONMENTAL ASSESSMENT; ENVIRONMENTAL FACTOR; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PROTECTION; FUZZY MATHEMATICS; GREENHOUSE GAS; NITROGEN OXIDES; OZONE; PERFORMANCE ASSESSMENT; PUBLIC HEALTH; URBAN ATMOSPHERE;

ADAPTIVE NEURO FUZZY INFERENCE APPROACH; AIR POLLUTION; AIR QUALITY; AIR QUALITY STANDARD; ARTICLE; ARTIFICIAL INTELLIGENCE; ATMOSPHERE; ATMOSPHERIC PRESSURE; CLINICAL ASSESSMENT; CLINICAL EVALUATION; CONCENTRATION PROCESS; ENVIRONMENTAL FACTOR; ENVIRONMENTAL MONITORING; ENVIRONMENTAL TEMPERATURE; FUZZY LOGIC; FUZZY SYSTEM; HUMIDITY; NONHUMAN; OUTCOME ASSESSMENT; PRIORITY JOURNAL;

JEDDAH; MAKKAH [SAUDI ARABIA]; SAUDI ARABIA; UNITED STATES;

EID: 85006165941     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2016.11.030     Document Type: Article

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