Universiti Teknologi Malaysia Institutional Repository

Radial basis function modeling of hourly streamflow hydrograph

Nor, Nor Irwan Ahmat and Harun, Sobri and Mohd. Kassim, Amir Hashim (2007) Radial basis function modeling of hourly streamflow hydrograph. Journal Of Hydrologic Engineering, 12 (1). pp. 113-123. ISSN 1084-0699


Official URL: http://dx.doi.org/10.1061/(ASCE)1084-0699(2007)12:...


An artificial neural network is well known as a flexible mathematical tool that has the ability to generalize patterns in imprecise or noisy and ambiguous input and output data sets. The radial basis function (RBF) method is applied to model the relationship between rainfall and runoff for Sungai Bekok Catchment (Johor, Malaysia) and Sungai Ketil catchment (Kedah, Malaysia). The RBF is used to predict the streamflow hydrograph based on storm events. Evaluation on the performance of RBF is demonstrated based on errors (between predicted and actual) and comparison with the results of the Hydrologic Engineering Center hydrologic modeling system model. It is obvious that the RBF method offers an accurate modeling of streamflow hydrograph.

Item Type:Article
Uncontrolled Keywords:Rainfall, runoff, streamflow, hydrographs
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Civil Engineering
ID Code:8487
Deposited On:25 Nov 2009 02:14
Last Modified:19 Oct 2017 00:07

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