Catchment flow estimation using Artificial Neural Networks in the mountainous Euphrates Basin

Journal of Hydrology

Volumn 410, Issue 1-2, 2011, Pages 134-140

  Yilmaz, A G ^a   Imteaz, M A ^b   Jenkins, G ^c  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

^b SWINBURNE UNIVERSITY OF TECHNOLOGY   (Australia)

^c GRIFFITH UNIVERSITY   (Australia)

Author keywords

Artificial Intelligence; Euphrates Basin; Hydrological modelling; Streamflow prediction

Indexed keywords

ARTIFICIAL INTELLIGENCE; CATCHMENTS; FORECASTING; NEURAL NETWORKS; RUNOFF; SNOW MELTING SYSTEMS; STREAM FLOW;

EUPHRATES; HYDROLOGICAL MODELLING; HYDROLOGICAL PROCESS; SHORT TERM PREDICTION; SNOW WATER EQUIVALENT; STREAMFLOW PREDICTION; WATER RESOURCES PLANNING AND MANAGEMENTS; WATER RESOURCES SYSTEMS;

SNOW;

ACCURACY ASSESSMENT; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CALIBRATION; CATCHMENT; DATA SET; FLOW MODELING; HEADWATER; HYDROLOGICAL MODELING; METEOROLOGY; MOUNTAIN ENVIRONMENT; NUMERICAL MODEL; PREDICTION; SNOW; SNOW WATER EQUIVALENT; STREAMFLOW; WATER RESOURCE;

EUPHRATES BASIN; TURKEY;

EID: 80054871623     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2011.09.031     Document Type: Article

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