SUSPENDED SEDIMENT LOAD PREDICTION IN RIVERS BY USING HEURISTIC REGRESSION AND HYBRID ARTIFICIAL INTELLIGENCE MODELS

Banu Yılmaz; Egemen Aras; Murat Kankal; Sinan Nacar

SUSPENDED SEDIMENT LOAD PREDICTION IN RIVERS BY USING HEURISTIC REGRESSION AND HYBRID ARTIFICIAL INTELLIGENCE MODELS

Abstract

Accurate prediction of amount of sediment load in rivers is extremely important for river hydraulics. The solution of the problem has been become complicated since the explanation of hydraulic phenomenon between the flow and the sediment on the river is dependent many parameters. The usage of different regression methods and artificial intelligence techniques allows the development of predictions as the traditional methods do not give enough accurate results. In this study, data of the flow and suspended sediment load (SSL) obtained from Karşıköy Gauging Station, located on Çoruh River in the north-eastern of Turkey, modelled with different regression methods (multiple regression, multivariate adaptive regression splines) and artificial neural network (ANN) (ANN-back propagation, ANN teaching-learning-based optimization algorithm and ANN-artificial bee colony). When the results were evaluated, it was seen that the models of ANN method were close to each other and gave better results than the regression models. It is concluded that these models of ANN method can be used successfully in estimating the SSL.

Keywords

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Banu Yılmaz This is me
0000-0002-4671-6384
Türkiye

Egemen Aras This is me
0000-0002-7553-9313
Türkiye

Murat Kankal This is me
0000-0003-0897-4742
Türkiye

Sinan Nacar This is me
0000-0003-2497-5032
Türkiye

Publication Date

June 1, 2021

Submission Date

October 8, 2019

Acceptance Date

April 24, 2020

Published in Issue

Year 2020 Volume: 38 Number: 2

IZ

https://izlik.org/JA55YC49YR

Cite

RIS / Bibtex

APA

Yılmaz, B., Aras, E., Kankal, M., & Nacar, S. (2021). SUSPENDED SEDIMENT LOAD PREDICTION IN RIVERS BY USING HEURISTIC REGRESSION AND HYBRID ARTIFICIAL INTELLIGENCE MODELS. Sigma Journal of Engineering and Natural Sciences, 38(2), 703-714. https://izlik.org/JA55YC49YR

AMA

1.Yılmaz B, Aras E, Kankal M, Nacar S. SUSPENDED SEDIMENT LOAD PREDICTION IN RIVERS BY USING HEURISTIC REGRESSION AND HYBRID ARTIFICIAL INTELLIGENCE MODELS. SIGMA. 2021;38(2):703-714. https://izlik.org/JA55YC49YR

Chicago

Yılmaz, Banu, Egemen Aras, Murat Kankal, and Sinan Nacar. 2021. “SUSPENDED SEDIMENT LOAD PREDICTION IN RIVERS BY USING HEURISTIC REGRESSION AND HYBRID ARTIFICIAL INTELLIGENCE MODELS”. Sigma Journal of Engineering and Natural Sciences 38 (2): 703-14. https://izlik.org/JA55YC49YR.

EndNote

Yılmaz B, Aras E, Kankal M, Nacar S (June 1, 2021) SUSPENDED SEDIMENT LOAD PREDICTION IN RIVERS BY USING HEURISTIC REGRESSION AND HYBRID ARTIFICIAL INTELLIGENCE MODELS. Sigma Journal of Engineering and Natural Sciences 38 2 703–714.

IEEE

[1]B. Yılmaz, E. Aras, M. Kankal, and S. Nacar, “SUSPENDED SEDIMENT LOAD PREDICTION IN RIVERS BY USING HEURISTIC REGRESSION AND HYBRID ARTIFICIAL INTELLIGENCE MODELS”, SIGMA, vol. 38, no. 2, pp. 703–714, June 2021, [Online]. Available: https://izlik.org/JA55YC49YR

ISNAD

Yılmaz, Banu - Aras, Egemen - Kankal, Murat - Nacar, Sinan. “SUSPENDED SEDIMENT LOAD PREDICTION IN RIVERS BY USING HEURISTIC REGRESSION AND HYBRID ARTIFICIAL INTELLIGENCE MODELS”. Sigma Journal of Engineering and Natural Sciences 38/2 (June 1, 2021): 703-714. https://izlik.org/JA55YC49YR.

JAMA

1.Yılmaz B, Aras E, Kankal M, Nacar S. SUSPENDED SEDIMENT LOAD PREDICTION IN RIVERS BY USING HEURISTIC REGRESSION AND HYBRID ARTIFICIAL INTELLIGENCE MODELS. SIGMA. 2021;38:703–714.

MLA

Yılmaz, Banu, et al. “SUSPENDED SEDIMENT LOAD PREDICTION IN RIVERS BY USING HEURISTIC REGRESSION AND HYBRID ARTIFICIAL INTELLIGENCE MODELS”. Sigma Journal of Engineering and Natural Sciences, vol. 38, no. 2, June 2021, pp. 703-14, https://izlik.org/JA55YC49YR.

Vancouver

1.Banu Yılmaz, Egemen Aras, Murat Kankal, Sinan Nacar. SUSPENDED SEDIMENT LOAD PREDICTION IN RIVERS BY USING HEURISTIC REGRESSION AND HYBRID ARTIFICIAL INTELLIGENCE MODELS. SIGMA [Internet]. 2021 Jun. 1;38(2):703-14. Available from: https://izlik.org/JA55YC49YR