Modelling sulphur dioxide levels of Konya city using artificial intelligent related to ozone, nitrogen dioxide and meteorological factors

International Journal of Environmental Science and Technology

Volumn 12, Issue 12, 2015, Pages 3915-3928

  Dursun, S ^a,b   Kunt, F ^a   Taylan, O ^b  

^a SELCUK UNIVERSITY   (Turkey)

^b KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

Air pollution; Air quality; Artificial neural network; Environment; Fuzzy logic

Indexed keywords

AIR POLLUTION; AIR QUALITY STANDARDS; ARTIFICIAL INTELLIGENCE; ENVIRONMENTAL PROTECTION AGENCY; FUZZY INFERENCE; FUZZY LOGIC; FUZZY SYSTEMS; IMPORTANCE SAMPLING; INTELLIGENT CONTROL; NEURAL NETWORKS; NITROGEN OXIDES; POLLUTION; QUALITY CONTROL; SULFUR; SULFUR DETERMINATION; SULFUR DIOXIDE;

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; ARTIFICIAL INTELLIGENT TECHNIQUES; ENVIRONMENT; ENVIRONMENTAL CONDITIONS; ENVIRONMENTAL POLLUTION PROBLEM; METEOROLOGICAL PARAMETERS; NONLINEAR APPROXIMATION; PREDICTION AND ASSESSMENTS;

AIR QUALITY;

AIR QUALITY; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); ENVIRONMENTAL ASSESSMENT; ENVIRONMENTAL PROTECTION; FUZZY MATHEMATICS; INDUSTRIAL EMISSION; NITROGEN DIOXIDE; OZONE; SAMPLING; SULFUR DIOXIDE;

KONYA [KONYA (PRV)]; KONYA [TURKEY]; TURKEY;

EID: 84942915960     PISSN: 17351472     EISSN: 17352630     Source Type: Journal    
DOI: 10.1007/s13762-015-0821-2     Document Type: Article

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