Prediction Suspended Sediment Load of Riverme Using Meta-heuristic Algorithms

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EMAMI H.; EMAMI S.; Heidari Tashe Kabud Sh.

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Journal Paper

Paper Information

Journal: Iranian Journal of Irrigation and Drainage Year:2020 | Volume:13 | Issue:5 Page(s): 1426-1438

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Information Journal Paper

Title

Prediction Suspended Sediment Load of Riverme Using Meta-heuristic Algorithms

Author(s)

EMAMI H. | EMAMI S. | Heidari Tashe Kabud Sh. | Issue Writer Certificate

Keywords

Suspended Sediment LoadQ1

Meta-Heuristic AlgorithmsQ1

Genetic AlgorithmQ2

Gray Wolf OptimizerQ1

Election AlgorithmQ1

Abstract

In many areas of Iran, there is no detailed information on the amount of erosion, sediment transport and sedimentation of rivers, and in many cases, there are many difference between measurements. Due to the fact that the flow regime and consequently the sediment regime in the watersheds are not constant, the prediction of sediment rate helps to estimate the sediment accumulated behind the structures, specially the dams, and determine the dead volume of reservoirs in the future months, and by adopting timely arrangements facilitate the deposition management to a certain extent. In this research, three optimization algorithms including Genetic Algorithm (GA), Gray Wolf Optimizer (GWO) and Election Algorithm (EA) were used to predict the Suspended Sediment Load of the rivers. In order to evaluate the performance of the algorithms, three statistics consists of R2, RMSE and NSE were used. The Suspended Sediment Load of sedimentary station located in the Zarrineh-Rood river during the 2005-2015 are used as a case study. The results show GWO algorithm with values R2=0. 96, RMSE=0. 022 and NSE=0. 74 has a very high accuracy compared to other algorithms used.

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APA: Copy

EMAMI, H., EMAMI, S., & Heidari Tashe Kabud, Sh.. (2020). Prediction Suspended Sediment Load of Riverme Using Meta-heuristic Algorithms. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, 13(5 ), 1426-1438. SID. https://sid.ir/paper/131488/en

Vancouver: Copy

EMAMI H., EMAMI S., Heidari Tashe Kabud Sh.. Prediction Suspended Sediment Load of Riverme Using Meta-heuristic Algorithms. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE[Internet]. 2020;13(5 ):1426-1438. Available from: https://sid.ir/paper/131488/en

IEEE: Copy

H. EMAMI, S. EMAMI, and Sh. Heidari Tashe Kabud, “Prediction Suspended Sediment Load of Riverme Using Meta-heuristic Algorithms,” IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, vol. 13, no. 5 , pp. 1426–1438, 2020, [Online]. Available: https://sid.ir/paper/131488/en

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