IMPROVEMENT OF STREAMFLOW SIMULATION FOR GAUGED SITE OF HYDROLOGICAL MODEL
DOI:
https://doi.org/10.11113/mjce.v25.15855Keywords:
Activated carbon fiber, Adsorption, Oil palm empty fruit bunch fiber, Porosity, Single step activation, River basin, hydrometeorological, bayesian network, gauged siteAbstract
The paper presents an improvement procedure for streamflow simulation at gauged site of a semi-distributed river basin model. In addition to streamflow and precipitation, meteorological observations that are not employed in the HEC-HMS model calibration are used as inputs in the procedure. Some of the available meteorological variables may be of limited values in calibrating a large range of streamflow hydrographs for obtaining the optimum state variables and parameters of a river basin model. This study presents the integration of the Bayesian regularization neural network with the HEC-HMS model to provide most accurate streamflow simulations at gauged site, for a wide range of streamflow hydrographs pertinent to the hydrometeorological conditions. The artificial neural network is capable of generating a good generalization with given hydrometeorological patterns.References
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