Modeling biological oxygen demand of the Melen River in Turkey using an artificial neural network technique

Journal of Environmental Management

Volumn 90, Issue 2, 2009, Pages 1229-1235

  Dogan, Emrah ^a   Sengorur, Bülent ^a   Koklu, Rabia ^a  

^a SAKARYA UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Biological oxygen demand; Estimation; Monitoring station; Water quality

Indexed keywords

BIOCHEMICAL OXYGEN DEMAND; DISSOLVED OXYGEN; FLOW OF WATER; FORECASTING; NEURAL NETWORKS; STATISTICAL TESTS; WATER RESOURCES;

ARTIFICIAL NEURAL NETWORK MODELING; BIOLOGICAL OXYGEN DEMAND; DEMAND ESTIMATION; FEED FORWARD NEURAL NET WORKS; MODELLING TECHNIQUES; MONITORING STATIONS; NETWORK TYPES; NEURAL NETWORK MODEL; NEURAL NETWORK TECHNIQUES; WATERS RESOURCES;

WATER QUALITY;

AMMONIA; CHLOROPHYLL A; NITRATE; NITRITE; OXYGEN;

ARTIFICIAL NEURAL NETWORK; BIOCHEMICAL OXYGEN DEMAND; DATA SET; ESTIMATION METHOD; MODELING; WATER QUALITY; WATER RESOURCE;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOCHEMICAL OXYGEN DEMAND; CHEMICAL OXYGEN DEMAND; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; NUTRIENT; PREDICTION; RIVER; RIVER BASIN; TURKEY (REPUBLIC); WATER ANALYSIS; WATER FLOW; WATER SAMPLING; WATER SUPPLY; WATER TEMPERATURE;

EURASIA; MELEN RIVER; TURKEY;

EID: 56249121165     PISSN: 03014797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jenvman.2008.06.004     Document Type: Article

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