Runoff analysis for a small watershed of tono area Japan by back propagation artificial neural network with seasonal data

Water Resources Management

Volumn 22, Issue 1, 2008, Pages 1-22

  Sohail, A ^a   Watanabe, K ^a   Takeuchi, S ^b  

^a SAITAMA UNIVERSITY   (Japan)

^b JAPAN ATOMIC ENERGY AGENCY   (Japan)

Author keywords

ARMA models; BPANN models; Rainfall runoff process; Rainy and dry seasons; Runoff analysis; Small watersheds; Tono test field

Indexed keywords

BACKPROPAGATION; CATCHMENTS; HYDROGEOLOGY; MATHEMATICAL MODELS; NEURAL NETWORKS; RAIN; RUNOFF; STATISTICAL METHODS;

BACK PROPAGATION ARTIFICIAL NEURAL NETWORK TECHNIQUE; MULTIVARIATE AUTOREGRESSIVE AND MOVING AVERAGE MODEL; RAINFALL-RUNOFF PROCESS;

WATERSHEDS;

BACKPROPAGATION; CATCHMENTS; HYDROGEOLOGY; MATHEMATICAL MODELS; NEURAL NETWORKS; RAIN; RUNOFF; STATISTICAL METHODS; WATERSHEDS;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CATCHMENT; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; PREDICTION; RAINFALL-RUNOFF MODELING; REGRESSION ANALYSIS; RUNOFF; WATERSHED;

ASIA; EURASIA; FAR EAST; HONSHU; IWATE; JAPAN; TOHOKU; TONO;

EID: 37549060590     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-006-9141-0     Document Type: Article

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