Transit data analysis and artificial neural networks (ANNs) have proven to be a useful tool for characterizing and modelling non-linear hydrological processes. In this paper, these methods have been used to characterize and to predict the discharge of Lor River (North Western Spain), 1, 2 and 3 days ahead. Transit data analyses show a coefficient of correlation of 0.53 for a lag between precipitation and discharge of 1 day. On the other hand, temperature and discharge has a negative coefficient of correlation (−0.43) for a delay of 19 days. The ANNs developed provide a good result for the validation period, with R2 between 0.92 and 0.80. Furthermore, these prediction models have been tested with discharge data from a period 16 years later. Results of this testing period also show a good correlation, with R2 between 0.91 and 0.64. Overall, results indicate that ANNs are a good tool to predict river discharge with a small number of input variables.
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Research Article|
January 06 2016
Application of transit data analysis and artificial neural network in the prediction of discharge of Lor River, NW Spain
G. Astray;
G. Astray
1Physical Chemistry Department, Faculty of Science, University of Vigo, Ourense 32004, Spain
2Department of Geological Sciences, College of Arts and Sciences, Ohio University, Athens, OH 45701, USA
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B. Soto;
B. Soto
3Department of Plant Biology and Soil Science, Faculty of Science, University of Vigo, Ourense 32004, Spain E-mail: [email protected]
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D. Lopez;
D. Lopez
2Department of Geological Sciences, College of Arts and Sciences, Ohio University, Athens, OH 45701, USA
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M. A. Iglesias;
M. A. Iglesias
1Physical Chemistry Department, Faculty of Science, University of Vigo, Ourense 32004, Spain
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J. C. Mejuto
J. C. Mejuto
1Physical Chemistry Department, Faculty of Science, University of Vigo, Ourense 32004, Spain
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Water Sci Technol (2016) 73 (7): 1756–1767.
Article history
Received:
May 07 2015
Accepted:
December 22 2015
Citation
G. Astray, B. Soto, D. Lopez, M. A. Iglesias, J. C. Mejuto; Application of transit data analysis and artificial neural network in the prediction of discharge of Lor River, NW Spain. Water Sci Technol 7 April 2016; 73 (7): 1756–1767. doi: https://doi.org/10.2166/wst.2016.002
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