The prediction of the sediment amount in Devrek and Devrakani rivers by artificial intelligence methods
2017
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Advisor: Yrd. Doç. Dr. Ercan Gemici
Abstract (EN)
Accurate estimation of the amount of solids carried by rivers; Determination of the erosion characteristics of the basin, river transport and determination of the economic life of the water structure planned to be made on the river, and so on. Is of great importance to the issues. Determining the amount of solids transported in streams to ensure the most efficient use of existing water resources within economic, environmental and social benefits is at the top of the required work. In this study, the possibility of using artificial intelligence methods to estimate the amount of solid matter carried in streams was investigated. The current and sediment data of the Devrek and Devrekani Rivers in the same basin were utilized in this study. Daily artifact prediction models have been developed using various artificial intelligence methods and daily and monthly flow efficiencies. Comparisons with measured results have shown that artificial intelligence models can be successfully applied in predicting the amount of sediment transported in rivers. It was also found that models built for rivers in the same basin could be used to estimate the amount of sediment transported in another stream.
Author
Dr. Abdurrahman Ağtaş
How to Cite
Abdurrahman Ağtaş (Master Thesis). The prediction of the sediment amount in Devrek and Devrakani rivers by artificial intelligence methods, 2017, Bartın University.
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