PREDICTION OF LONGITUDINAL DISPERSION COEFFICIENT IN NATURAL STREAMS USING SOFT COMPUTING TECHNIQUES

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SOLTANI GERDEFARAMARZI SOMAYYEH; TAGHIZADEH MEHRJERDI RUHOLLAH; GHASEMI MOHSEN

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Journal: Iranian Journal of Soil and Water Research Year:2015 | Volume:46 | Issue:3 Page(s): 385-394

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Title

PREDICTION OF LONGITUDINAL DISPERSION COEFFICIENT IN NATURAL STREAMS USING SOFT COMPUTING TECHNIQUES

Author(s)

SOLTANI GERDEFARAMARZI SOMAYYEH | TAGHIZADEH MEHRJERDI RUHOLLAH | GHASEMI MOHSEN | Issue Writer Certificate

Keywords

SOFT COMPUTING TECHNIQUESQ1

POLLUTIONQ1

RIVERQ1

LONGITUDINAL DISPERSION COEFFICIENTQ2

Abstract

To accurately estimate the LONGITUDINAL DISPERSION COEFFICIENT is important and indispensable in RIVER modeling. Many theoretical as well as empirical formulations have been proposed to determine the LONGITUDINAL DISPERSION COEFFICIENT, but these have not been put into consideration because of their great error, and as well the complexity of the phenomenon. The main aim followed in the present paper is to investigate the method as well as equations developed for dispersion coefficient estimation and assessment of the accuracy of these methods in comparison with real data and developing an accurate methodology for dispersion coefficient determination making use of such SOFT COMPUTING TECHNIQUES as, neural, genetic programming and Neuron-Fuzzy Inference System. ANFIS approach ended up with the excellent results of: R2 = 0.87, RMSE = 72.21, CRM = 0.103 and EF=0.75 as compared with the existing predictors of dispersion coefficient. In total ANFIS approach is hereby proposed as a most acceptable technique for estimating the LONGITUDINAL DISPERSION COEFFICIENT.

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APA: Copy

SOLTANI GERDEFARAMARZI, SOMAYYEH, TAGHIZADEH MEHRJERDI, RUHOLLAH, & GHASEMI, MOHSEN. (2015). PREDICTION OF LONGITUDINAL DISPERSION COEFFICIENT IN NATURAL STREAMS USING SOFT COMPUTING TECHNIQUES. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 46(3), 385-394. SID. https://sid.ir/paper/225751/en

Vancouver: Copy

SOLTANI GERDEFARAMARZI SOMAYYEH, TAGHIZADEH MEHRJERDI RUHOLLAH, GHASEMI MOHSEN. PREDICTION OF LONGITUDINAL DISPERSION COEFFICIENT IN NATURAL STREAMS USING SOFT COMPUTING TECHNIQUES. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2015;46(3):385-394. Available from: https://sid.ir/paper/225751/en

IEEE: Copy

SOMAYYEH SOLTANI GERDEFARAMARZI, RUHOLLAH TAGHIZADEH MEHRJERDI, and MOHSEN GHASEMI, “PREDICTION OF LONGITUDINAL DISPERSION COEFFICIENT IN NATURAL STREAMS USING SOFT COMPUTING TECHNIQUES,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 46, no. 3, pp. 385–394, 2015, [Online]. Available: https://sid.ir/paper/225751/en

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