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Forecasting of Suspended Sediment in Rivers Using Artificial Neural Networks Approach
( Vol-4,Issue-12,December 2017 )
Author(s):

Bestami Taşar, Yunus Ziya Kaya, Hakan Varçin, Fatih Üneş, Mustafa Demirci

Keywords:

Suspended Sediment, Artificial Neural Networks, Sediment Rating Curves, M5 Tree, Estimation.

Abstract:

Suspended sediment estimation is important to the water resources management and water quality problem. In this article, artificial neural networks (ANN), M5tree (M5T) approaches and statistical approaches such as Multiple Linear Regression (MLR), Sediment Rating Curves (SRC) are used for estimation daily suspended sediment concentration from daily temperature of water and streamflow in river. These daily datas were measured at Iowa station in US. These prediction aproaches are compared to each other according to three statistical criteria, namely, mean square errors (MSE), mean absolute relative error (MAE) and correlation coefficient (R). When the results are compared ANN approach have better forecasts suspended sediment than the other estimation methods.

ijaers doi crossref DOI:

10.22161/ijaers.4.12.14

Paper Statistics:
  • Total View : 151
  • Downloads : 43
  • Page No: 079-084
Cite this Article:
MLA
Bestami Taşar et al ."Forecasting of Suspended Sediment in Rivers Using Artificial Neural Networks Approach". International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),vol 4, no. 12, 2017, pp.079-084 AI Publications, doi:10.22161/ijaers.4.12.14
APA
Bestami Taşar, Yunus Ziya Kaya, Hakan Varçin, Fatih Üneş, Mustafa Demirci(2017).Forecasting of Suspended Sediment in Rivers Using Artificial Neural Networks Approach. International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),4(12), 079-084. http://dx.doi.org/10.22161/ijaers.4.12.14
Chicago
Bestami Taşar, Yunus Ziya Kaya, Hakan Varçin, Fatih Üneş, Mustafa Demirci. 2017,"Forecasting of Suspended Sediment in Rivers Using Artificial Neural Networks Approach". International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)).4(12):079-084. Doi: 10.22161/ijaers.4.12.14
Harvard
Bestami Taşar, Yunus Ziya Kaya, Hakan Varçin, Fatih Üneş, Mustafa Demirci. 2017,Forecasting of Suspended Sediment in Rivers Using Artificial Neural Networks Approach, International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)).4(12), pp:079-084
IEEE
Bestami Taşar, Yunus Ziya Kaya, Hakan Varçin, Fatih Üneş, Mustafa Demirci."Forecasting of Suspended Sediment in Rivers Using Artificial Neural Networks Approach", International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),vol.4,no. 12, pp.079-084,2017.
Bibtex
@article {bestamitaşar2017forecasting,
title={Forecasting of Suspended Sediment in Rivers Using Artificial Neural Networks Approach},
author={Bestami Taşar, Yunus Ziya Kaya, Hakan Varçin, Fatih Üneş, Mustafa Demirci},
journal={International Journal of Advanced Engineering Research and Science},
volume={4},
year= {2017},
}
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References:

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