Comparative study on multi-site stream-flow generation model HEC-4 and ANN model
DSpace at IIT Bombay
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Title |
Comparative study on multi-site stream-flow generation model HEC-4 and ANN model
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Creator |
Jothiprakash, V
Devamane, M.G. Mohan, S. |
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Subject |
synthetic stream flow generation
HEC-4 artificial neural network back propagation |
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Description |
An artificial neural network (ANN) model has been developed to generate the multisite streamflow and the results are compared with the classical multisite streamflow generation model developed by Hydrologic Engineering Centre named HEC-4. Both the models have been applied to the case study of Upper Krishna River Basin to evaluate their performances. Important statistical parameters, namely, mean, standard deviation, correlation coefficient of the historical and generated streamflow are compared for the evaluation. Hurst ratio has been used to evaluate the strength of persistence of the generated streamflow. This study shows that the streamflow predicted with simple ANN model are more satisfactory than the HEC-4 model in case of multisite streamflow generation.
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Publisher |
IEI
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Date |
2012-09-12T11:07:02Z
2012-09-12T11:07:02Z 2006 |
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Type |
Article
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Identifier |
Journal of Institution of Engineers, 87(CV) 9-14
0368-2498 http://dspace.library.iitb.ac.in/jspui/handle/100/14411 |
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Language |
English
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