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Information Journal Paper

Title

ESTIAMTION OF SUSPENDED SEDIMENT LOAD IN BEHESHT ABAD RIVER BY USING ARTIFITIAL NEURAL NETWORK

Pages

  159-168

Abstract

 Existence of many effective parameters and the variation range of suspended sediment load cause low accuracy of sediment rating curve. So the novel approaches such as ARTIFICIAL NEURAL NETWORKS since it consider many independent variables are suitable. In this study, three various cases were used for estimation of suspended sediment load. In the first case, as compared with sediment rating curve, the suspended sediment discharge was considered as a function of flow discharge. In second cases the suspended sediment discharge was considered as a function of water discharge in mentioned time and water discharge occurred one day before. In third case the suspended sediment discharge was considered as a function of water discharge in mentioned time and water discharge occurred respectively one, two days before. The results showed that the ARTIFICIAL NEURAL NETWORKS with (R2=0.979, MSE=0.0011) can be used for estimation of suspended sediment load in comparison with sediment rating curve approach with (R2=0.778, MSE=0.043).

Cites

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  • Cite

    APA: Copy

    DEHGHANI, A.A., MALEK MOHAMMADI, M., & HEZARJARIBI, A.. (2010). ESTIAMTION OF SUSPENDED SEDIMENT LOAD IN BEHESHT ABAD RIVER BY USING ARTIFITIAL NEURAL NETWORK. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 17(1), 159-168. SID. https://sid.ir/paper/156088/en

    Vancouver: Copy

    DEHGHANI A.A., MALEK MOHAMMADI M., HEZARJARIBI A.. ESTIAMTION OF SUSPENDED SEDIMENT LOAD IN BEHESHT ABAD RIVER BY USING ARTIFITIAL NEURAL NETWORK. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2010;17(1):159-168. Available from: https://sid.ir/paper/156088/en

    IEEE: Copy

    A.A. DEHGHANI, M. MALEK MOHAMMADI, and A. HEZARJARIBI, “ESTIAMTION OF SUSPENDED SEDIMENT LOAD IN BEHESHT ABAD RIVER BY USING ARTIFITIAL NEURAL NETWORK,” JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 17, no. 1, pp. 159–168, 2010, [Online]. Available: https://sid.ir/paper/156088/en

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