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Paper Information

Journal:   IRANIAN JOURNAL OF SOIL AND WATER RESEARCH   FALL 2015 , Volume 46 , Number 3; Page(s) 385 To 394.
 
Paper: 

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

 
 
Author(s):  SOLTANI GERDEFARAMARZI SOMAYYEH*, TAGHIZADEH MEHRJERDI RUHOLLAH, GHASEMI MOHSEN
 
* FACULTY OF AGRICULTURE AND NATURAL RESOURCES, ARDAKAN UNIVERSITY
 
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.

 
Keyword(s): SOFT COMPUTING TECHNIQUES, POLLUTION, RIVER, LONGITUDINAL DISPERSION COEFFICIENT
 
References: 
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