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Estimating Suspended Sediment Load in Rivers Using the Imperialist Competitive Algorithm

Publish Year: 1398
Type: Journal paper
Language: English
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Document National Code:

JR_JHE-3-5_005

Index date: 26 November 2019

Estimating Suspended Sediment Load in Rivers Using the Imperialist Competitive Algorithm abstract

Erosion phenomenon and sediment transition are among the most complex hydrodynamics problems, so their governing equations cannot be determined easily. This paper used the Imperialist Competitive Algorithm (ICA) to predict the daily suspended sediment loads (SSLs) of the Zarinehrood River. The input was composed of SSL of the sedimentary station located in the Zarinehrood River during 2005-2015 (10 statistics years) with the flow discharge variable during this month. The results of implementing ICA showed the high accuracy of the ICA showing R2 = 0.89 and RMSE = 235 mg/L. In general, the results obtained from the ICA used in this paper showed the high capability and accuracy of the ICA in estimating SSL of the Zarinhorod River consumption reforms.

Estimating Suspended Sediment Load in Rivers Using the Imperialist Competitive Algorithm Keywords:

Fuzzy logic , Increasing Block Tariffs. Water Consumption , Iran

Estimating Suspended Sediment Load in Rivers Using the Imperialist Competitive Algorithm authors

A. Heydari Tashekaboud

۱-Assistant Professor of Geography & Urban Planning, Faculty of Literature and Human Sciences, Ferdowsi University of Mashhad, Mashhad, Iran

Sh. Heydari Tashekaboud

۲ Ph.D. Student of Water Engineering department, Faculty of Agriculture, University of Sari, Sari, Iran