EVALUATION OF THE EFFICIENCY OF CONVENTIONAL AND COMPUTERIZED METHODS FOR RECONSTRUCTION OF MONTHLY FLOW TIME SERIES IN HYDROMETRIC STATIONS (TECHNICAL NOTE)

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NOZARI H.; TAVAKOLI F.

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Journal: IRAN-WATER RESOURCES RESEARCH Year:2018 | Volume:13 | Issue:4 Page(s): 174-178

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Title

EVALUATION OF THE EFFICIENCY OF CONVENTIONAL AND COMPUTERIZED METHODS FOR RECONSTRUCTION OF MONTHLY FLOW TIME SERIES IN HYDROMETRIC STATIONS (TECHNICAL NOTE)

Author(s)

NOZARI H. | TAVAKOLI F. | Issue Writer Certificate

Keywords

HYBRID WAVELET- NEURAL NETWORKQ1

MISSING DATAQ1

MONTHLY FLOWQ1

RECONSTRUCTIONQ2

SUPPORT VECTOR MACHINEQ2

URMIA LAKE BASINQ1

Abstract

The lack of complete data should not hinder the study of the hydrological condition and the long-term forecasts for performing hydro-projects in one region. Various researchers have used different methods such as Ratio Analysis, Fragment, and Thomas- fiering for the RECONSTRUCTION of incomplete flow data in hydrometric stations. So, in this study, the accuracy of these methods and computerized methods such as, artificial neural network, hybrid wavelet-neural network, and SUPPORT VECTOR MACHINE have been investigated and compared. The results showed that the computerized methods have the higher accuracy than the other three methods. Comparison amongst the computerized methods showed that the artificial neural network method (R2=0.98, RMSE=6.18, SE=0.476), the SUPPORT VECTOR MACHINE method (R2=0.902, RMSE=6.074, SE=0.486), and the hybrid wavelet-neural method (R2=0.889, RMSE=6.96, SE=0.54) ranked first to third, respectively. Although, these three methods have not significant differences in results, but the SUPPORT VECTOR MACHINE constructed the data in the less time and with more ease and hence had an advantage in comparison with the other methods.

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APA: Copy

NOZARI, H., & TAVAKOLI, F.. (2018). EVALUATION OF THE EFFICIENCY OF CONVENTIONAL AND COMPUTERIZED METHODS FOR RECONSTRUCTION OF MONTHLY FLOW TIME SERIES IN HYDROMETRIC STATIONS (TECHNICAL NOTE). IRAN-WATER RESOURCES RESEARCH, 13(4 ), 174-178. SID. https://sid.ir/paper/100333/en

Vancouver: Copy

NOZARI H., TAVAKOLI F.. EVALUATION OF THE EFFICIENCY OF CONVENTIONAL AND COMPUTERIZED METHODS FOR RECONSTRUCTION OF MONTHLY FLOW TIME SERIES IN HYDROMETRIC STATIONS (TECHNICAL NOTE). IRAN-WATER RESOURCES RESEARCH[Internet]. 2018;13(4 ):174-178. Available from: https://sid.ir/paper/100333/en

IEEE: Copy

H. NOZARI, and F. TAVAKOLI, “EVALUATION OF THE EFFICIENCY OF CONVENTIONAL AND COMPUTERIZED METHODS FOR RECONSTRUCTION OF MONTHLY FLOW TIME SERIES IN HYDROMETRIC STATIONS (TECHNICAL NOTE),” IRAN-WATER RESOURCES RESEARCH, vol. 13, no. 4 , pp. 174–178, 2018, [Online]. Available: https://sid.ir/paper/100333/en

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