Enhancing inflow forecasting model at aswan high dam utilizing radial basis neural network and upstream monitoring stations measurements

Water Resources Management

Volumn 23, Issue 11, 2009, Pages 2289-2315

  El Shafie, Ahmed ^a   Abdin, Alaa E ^b   Noureldin, Aboelmagd ^c   Taha, Mohd R ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

^b NATIONAL WATER RESEARCH CENTER   (Egypt)

^c ROYAL MILITARY COLLEGE OF CANADA   (Canada)

Author keywords

Artificial neural network; Aswan High Dam; Inflow forecasting; Nile River; Reservoir operation

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ASWAN HIGH DAM; INFLOW FORECASTING; NILE RIVER; RESERVOIR OPERATION;

BACKPROPAGATION; DAMS; DATA FLOW ANALYSIS; MONITORING; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; RESERVOIRS (WATER); RIVER CONTROL; STREAM FLOW; WATER ANALYSIS; WATER RESOURCES;

FORECASTING;

ARTIFICIAL NEURAL NETWORK; FORECASTING METHOD; HYDRAULIC STRUCTURE; HYDROLOGY; INFLOW; RESERVOIR; STREAMFLOW; WATER PLANNING; WATER RESOURCE;

AFRICA; ASWAN [EGYPT]; ASWAN DAM; EGYPT; NILE RIVER; NORTH AFRICA;

EID: 69249208624     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-008-9382-1     Document Type: Article

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