Stage-Discharge Relations for Low-Gradient Tidal Streams Using Data-Driven Models

Journal of Hydraulic Engineering

Volumn 132, Issue 5, 2006, Pages 482-492

  Habib, Emad H ^a   Meselhe, Ehab A ^a  

^a University of Louisiana at Lafayette   (United States)

Author keywords

Channel flow; Coastal environment; Louisiana; Neural networks; Regression models; Streams; Tidal effects; Water discharge

Indexed keywords

FORECASTING; REGRESSION ANALYSIS; RIVERS; RUNOFF; WATER LEVELS; CHANNEL FLOW; DISCHARGE (FLUID MECHANICS); MATHEMATICAL MODELS; NEURAL NETWORKS; STREAM FLOW;

COASTAL ENVIRONMENTS; LOUISIANA; LOW-GRADIENT STREAMS; MULTIPLE LOOPS; NEURAL-NETWORKS; REGRESSION MODELLING; STAGE-DISCHARGE; STREAM; TIDAL EFFECTS; WATER DISCHARGES;

NEURAL NETWORKS; TIDES;

COASTAL ENVIRONMENT; PARAMETRIC REGRESSION METHODS; TIDAL EFFECTS; TIDAL STREAMS; WATER DISCHARGE;

CHANNEL FLOW; DISCHARGE (FLUID MECHANICS); MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; STREAM FLOW; TIDES;

ARTIFICIAL NEURAL NETWORK; CATCHMENT; NUMERICAL MODEL; REGRESSION ANALYSIS; RIVER DISCHARGE; RUNOFF; STREAMFLOW; TIDE;

LOUISIANA; NORTH AMERICA; UNITED STATES;

EID: 33645811537     PISSN: 07339429     EISSN: 19437900     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-9429(2006)132:5(482)     Document Type: Article

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