Indian Journal of Science and Technology
Year: 2012, Volume: 5, Issue: 8, Pages: 1-6
Abdolmajid Muhammadi*, Gholamhossein Akbari and Gholamreza Azizzian
Civil Engineering Department, Engineering Faculty, Sistan and Balouchestan University, Zahedan, Iran. [email protected]*
*Author For Correspondence
Civil Engineering Department
Email: [email protected]*
Simulation and sediment assessment of the river are of the significant and practical issues in water resource management. To estimate the suspended sediment concentration of Karaj dam in this study, simultaneous water discharge data, base, water temperature and sediment density of Siraa Station located at Karaj dock entry have been used. Artificial Neural Fuzzy Inference System (ANFIS), Artificial Neural Network (ANN) and Sediment Rating Curve (SRC) modeling was used. Correlation coefficient (R) and Root Mean Square Error (RMSE) are considered the model's assessment criteria. The results show a higher accuracy of fuzzy model assessments in comparison with neural networks and sediment rating curve assessments.
Keywords: Sediment, Neural-fuzzy inference system, artificial neural network, Sediment rating curve
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