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Ant Colony Optimization Model For Estimation Of Suspended Load (Gorgan River –Iran)

Publish Year: 1388
Type: Conference paper
Language: English
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IREC08_116

Index date: 20 January 2010

Ant Colony Optimization Model For Estimation Of Suspended Load (Gorgan River –Iran) abstract

Suspended sediment rate estimation in rivers is very important for water resources projects. Since continues measurement is very expensive and can not be conducted for all river gauge stations, many sediment transport equations have been developed to determine its rate. However, sediment transport equations do not agree with each other and require many detailed data. Ant colony optimization (ACO) are now being used more frequently to solve optimization problems rather than those for which they were originally developed. The main purpose of this study is to application of ACO to identify the relation between sediment load and streamflow discharge for Nodeh station at Gorgan river in Iran. Numerical data are presented to compare ACO with sediment rating curve (SRC). The ACO model is found to be much better than the SRC model. The results also indicate that the ACO model may provide better performance than the SRC in the estimation of suspended sediment load.

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Ant Colony Optimization Model For Estimation Of Suspended Load (Gorgan River –Iran) authors

Omolbani Mohamad Rezapour

University Putra Malaysia

Amir Ahmad Dehghani

Gorgan University of Agricultural Sciences and Natural Resources

Lee Teang Shui

Faculty of Engineering University Putra Malaysia

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