ESTIMATION OF SUSPENDED SEDIMENT IN RIVERS USING ARTIFICIAL INTELLIGENCE TECHNIQUES

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SANIKHANI HADI; NIKPOUR MOHAMMAD REZA; Farsadizadeh Davoud; MOAYYERI MOHAMAD MEHDI

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Journal: IRANIAN WATER RESEARCH JOURNAL Year:2015 | Volume:9 | Issue:2 (17) Page(s): 165-168

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Title

ESTIMATION OF SUSPENDED SEDIMENT IN RIVERS USING ARTIFICIAL INTELLIGENCE TECHNIQUES

Author(s)

SANIKHANI HADI | NIKPOUR MOHAMMAD REZA | Farsadizadeh Davoud | MOAYYERI MOHAMAD MEHDI | Issue Writer Certificate

Keywords

NEUROQ1

FUZZYQ2

SUSPENDED SEDIMENTQ2

NEURAL NETWORKSQ2

RATING CURVEQ2

GENE EXPRESSION PROGRAMMINGQ2

Abstract

Accurate estimation of SUSPENDED SEDIMENT in rivers is very important for design and operation of water resources projects. Sediment estimation by conventional methods like RATING CURVEs are not able to provide correct results. In this paper, GENE EXPRESSION PROGRAMMING (GEP) model which is an extension to genetic programming (GP) technique, for SUSPENDED SEDIMENT estimation is applied. The GEP results are compared with those of the adaptive NEURO-fuzzy, NEURAL NETWORKS and RATING CURVE models. In this regard, the streamflow and SUSPENDED SEDIMENT data from Vanyar station that located on Aji-chay river in East- Azarbaijan are used. The root mean square errors (RMSE) and determination coefficient (R2) statistics are used for evaluating the accuracy of the models. The results show that the GEP model is the best among other models in estimating SUSPENDED SEDIMENT. The relative RMSE difference for test period between GEP and ANFIS-Grid Partitioning, ANFIS-Sub Clustering, ANN and RATING CURVEs methods was 8, 10, 13 and 21 percent respectively. The R2 values for GEP and ANFIS-Grid Partitioning, ANFIS-Sub Clustering, ANN and RATING CURVEs methods was 0.93, 0.84, 0.88, 0.86 and 0.81.

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APA: Copy

SANIKHANI, HADI, NIKPOUR, MOHAMMAD REZA, Farsadizadeh, Davoud, & MOAYYERI, MOHAMAD MEHDI. (2015). ESTIMATION OF SUSPENDED SEDIMENT IN RIVERS USING ARTIFICIAL INTELLIGENCE TECHNIQUES. IRANIAN WATER RESEARCH JOURNAL, 9(2 (17)), 165-168. SID. https://sid.ir/paper/159914/en

Vancouver: Copy

SANIKHANI HADI, NIKPOUR MOHAMMAD REZA, Farsadizadeh Davoud, MOAYYERI MOHAMAD MEHDI. ESTIMATION OF SUSPENDED SEDIMENT IN RIVERS USING ARTIFICIAL INTELLIGENCE TECHNIQUES. IRANIAN WATER RESEARCH JOURNAL[Internet]. 2015;9(2 (17)):165-168. Available from: https://sid.ir/paper/159914/en

IEEE: Copy

HADI SANIKHANI, MOHAMMAD REZA NIKPOUR, Davoud Farsadizadeh, and MOHAMAD MEHDI MOAYYERI, “ESTIMATION OF SUSPENDED SEDIMENT IN RIVERS USING ARTIFICIAL INTELLIGENCE TECHNIQUES,” IRANIAN WATER RESEARCH JOURNAL, vol. 9, no. 2 (17), pp. 165–168, 2015, [Online]. Available: https://sid.ir/paper/159914/en

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