Neuro-Fuzzy GMDH-Based Evolutionary Algorithms to Predict Flow Discharge in Straight Compound Channels

Najafzadeh, Mohammad; Zahiri, Abdolreza

doi:10.1061/(asce)he.1943-5584.0001185

Cited by 55 publications

(19 citation statements)

References 48 publications

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“…Several scientific reports on water quality effects on human, agricultural and industrial applications all around the world have been published [1,2,3,4,5,6,7,8,9]. A study by [10] on the hydrochemical and heavy metal concentration in the soil and water resources of Hamadan province of Iran during which the concentrations of cadmium (Cd), copper (Cu), lead (Pb) and zinc (Zn) as important parameters for developing the agricultural development projects were measured, concluded that the potential of studied area was suitable for developing the agricultural projects because the values of the parameters were under standard indices.…”

Section: Introductionmentioning

confidence: 99%

Hydrochemistry and Water Quality Indices of River Ose Water, Southern Nigeria

Talabi

2018

AJAS

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Background Objective: River Ose has flowing water throughout the year that can serve for irrigation and domestic purposes. This study examined the hydrochemistry, water quality indices and coliform counts of River Ose Water, Nigeria with a view to ascertain its suitability for drinking and irrigation.Materials and Method: For this purpose, 15 water samples were collected along the flowing river channel and subjected to physico-chemical and e-coli determination using standard methods. Water quality index (WQI) and Irrigation parameters (Sodium adsorption ratio (SAR), Percentage sodium (%Na), Residual sodium bicarbonate (RSBC), Kellyâ€™s ratio (KR), Permeability index (PI) and Magnesium absorption ratio (MAR)) were calculated from the chemical data obtained from the analyses.Results: Results of the analyses revealed that pH (9.7 pHÂ of the water samples were of alkaline nature with all the water samples exceeding approved standard for drinking water. Drinking alkaline water may deactivate pepsin but it could lead to gastrointestinal problems and metabolic alkalosis. Electrical conductivity (ÂµS/cm), Total dissolved solids (mg/L) as well as Total hardness of all analyzed water samples fell in the category of fresh water. HCO3- and Cl- were the dominant anions while Na+ and K+ constitute the dominant cations in the water chemistry. The abundance of major ions revealed Na+> K+ >Mg2+>Ca2+ and HCO3->Cl->SO42->NO3- trend. The dominant hydrogeochemical facies was mixed Ca2+-Na+-HCO3- (93%) with few mixed Ca2+-Mg2+-Cl- (7%) while calculated WQI was 89.44. All samples tested positive to e-coli count ranging from 1.71*101 â€“ 8.100*103.Conclusion: The analyzed physico-chemical parameters in all River Ose water samples were well within approved desirable limits except for the pH. However, the water was not potable as all samples tested positive to e-coli counts. In addition, WQI calculation revealed that the water has very poor drinking quality. Sources of ions in the River were predominantly from rainfall and minor weathering from the bedrocks. Irrigation quality parameters (SAR, %Na, RSBC and KR) indicated that River Ose water was good for irrigation. However, applying the water on salt sensitive plants is not advisable as irrigation evaluation employing PI and MAR showed that the water was not suitable for irrigation.

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Section: Introductionmentioning

confidence: 99%

Hydrochemistry and Water Quality Indices of River Ose Water, Southern Nigeria

Talabi

2018

AJAS

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“…In recent decades, using soft computing methods due to the reduction in cost and computational time in hydrology and hydraulics science is extended [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35]. The use of these methods in the study of bends flow pattern can be pointed out to: The ability of ANN model and Genetic Algorithm (GA) in the velocity profiles evaluation in 90° mild bend was Gholami et al [41] evaluated the flow pattern in sharp bends using classification methods 5 associated with ANN models.…”

Section: Introductionmentioning

confidence: 99%

A Combination of Computational Fluid Dynamics, Artificial Neural Network and Support Vectors Machines Model to Predict Flow Variables in Curved Channel

et al. 2017

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“…Group Method of Data Handling network is one of the self-organized methods amongst soft computing methods based on arti cial intelligence, capable of solving di erent problems in extremely complex nonlinear systems [22][23][24][25]. The GMDH method has been used to recognize behavior of nonlinear systems in di erent subjects in hydraulic such as friction factor in pipeline [26], scour depth [27][28][29], discharge condent [30,31], ow discharge in straight compound channels [32,33], basin sediment yield [34], and longitudinal dispersion in water networks [35].…”

Section: Introductionmentioning

confidence: 99%

Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel

et al. 2017

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Abstract. Sediment transport is a prevalent vital process in uvial and coastal environments, and \incipient motion" is an issue inseparably bound to this topic. This study utilizes a novel hybrid method based on Group Method of Data Handling (GMDH) and Genetic Algorithm (GA) to design GMDH structural (GMDH-GA). Also, Singular Value Decomposition (SVD) was utilized to compute the linear coe cient vectors. In order to predict the densimetric Froude number (Fr), the ratio of median diameter of particle size to hydraulic radius (d=R) and the ratio of sediment deposit thickness to hydraulic radius (t s =R) are utilized as e ective parameters. Using three di erent sources of experimental data and GMDH-GA model, a new equation is proposed to predict incipient motion. The performance of development equation is compared using GMDH-GA and traditional equations . The results indicate that the presented equation is more accurate (RMSE = 0:18 and MAP E = 6:48%) than traditional methods. Also, a sensitivity analysis is presented to study the performance of each input combination in predicting incipient motion.

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Neuro-Fuzzy GMDH-Based Evolutionary Algorithms to Predict Flow Discharge in Straight Compound Channels

Cited by 55 publications

References 48 publications

Hydrochemistry and Water Quality Indices of River Ose Water, Southern Nigeria

Hydrochemistry and Water Quality Indices of River Ose Water, Southern Nigeria

A Combination of Computational Fluid Dynamics, Artificial Neural Network and Support Vectors Machines Model to Predict Flow Variables in Curved Channel

Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel

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