Aredah, A. S., O. F. Ertugrul, A. A. Sattar, H. Bonakdari, and B. Gharabaghi, "Extreme Learning Machine model for assessment of stream health using the Qualitative Habitat Evaluation Index", Water Supply, vol. 22, issue 5, pp. 5355 - 5375, 2022. Abstract
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Diab, G., M. Elhakeem, and A. M. A. Sattar, "Performance assessment of lift-based turbine for small-scale power generation in water pipelines using OpenFOAM", Engineering Applications of Computational Fluid Mechanics, vol. 16, issue 1, pp. 536 - 550, 2022. Abstract
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Kazemian-Kale-Kale, A., A. Gholami, M. Rezaie-Balf, A. Mosavi, A. A. Sattar, A. H. Azimi, B. Gharabaghi, and H. Bonakdari, "Uncertainty assessment of entropy-based circular channel shear stress prediction models using a novel method", Geosciences (Switzerland), vol. 11, issue 8, 2021. Abstract
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Azari, A., M. Zeynoddin, I. Ebtehaj, A. M. A. Sattar, B. Gharabaghi, and H. Bonakdari, "Integrated preprocessing techniques with linear stochastic approaches in groundwater level forecasting", Acta Geophysica, vol. 69, issue 4, pp. 1395 - 1411, 2021. Abstract
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Bonakdari, H., I. Ebtehaj, A. H. Azimi, P. Samui, A. A. Sattar, A. Jamali, S. H. A. Talesh, A. Mosavi, and B. Gharabaghi, "Pareto design of multiobjective evolutionary neuro-fuzzy system for predicting scour depth around bridge piers", Water Engineering Modeling and Mathematic Tools, pp. 491 - 517, 2021. Abstract
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Bonakdari, H., F. Moradi, I. Ebtehaj, B. Gharabaghi, A. A. Sattar, A. H. Azimi, and A. Radecki-Pawlik, "A non-tuned machine learning technique for abutment scour depth in clear water condition", Water (Switzerland), vol. 12, no. 1, 2020. AbstractWebsite
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Bonakdari, H., A. Gholami, A. M. A. Sattar, and B. Gharabaghi, "Development of robust evolutionary polynomial regression network in the estimation of stable alluvial channel dimensions", Geomorphology, vol. 350, 2020. AbstractWebsite
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Sattar, A. M. A., H. Bonakdari, B. Gharabaghi, and A. Radecki-Pawlik, "Hydraulic Modeling and Evaluation Equations for the Incipient Motion of Sandbags for Levee Breach Closure Operations", Water, vol. 11, no. 2, 2019. AbstractWebsite

Open channel levees are used extensively in hydraulic and environmental engineering applications to protect the surrounding area from inundation. However, levees may fail to produce an unsteady flow that is inherently three dimensional. Such a failure may lead to a destructive change in morphology of the river channel and valley. To avoid such a situation arising, hydraulic laboratory modeling was performed on an open channel levee breach model capturing velocity, in x, y and z plans, at selected locations in the breach. Sandbags of various shapes and sizes are tested for incipient motion by the breach flow. We found that a prism sandbag has a better hydrodynamic characteristic and more stability than spherical bags with the same weight. Experimental results are then used to evaluate existing empirical equations and to develop more accurate equations for predicting critical flow velocity at the initial stage of sandbag motion. Results showed the superior predictions a few of the equations could be considered with an uncertainty range of ±10%. These equations explained the initial failed attempts of the United States Army Corps of Engineers (USACE) for breach closure of the case study, and confirmed the experimental results are simulating the case study of breach closure.

Abdel Sattar, A. M., H. Bonakdari, A. Negm, B. Gharabaghi, and M. Elhakeem, "Soil Aquifer Treatment System Design Equation for Organic Micropollutant Removal", Groundwater in the Nile Delta, Cham, Springer International Publishing, pp. 307 - 326, 2019. Abstract

Rapid population growth and mass migration from rural to urban centers have contributed to a new era of water sacristy, and a significant drop in per capita freshwater availability, resulting in the reuse of wastewater emerging as a viable alternative. The reuse of wastewater after treatment using the soil aquifer treatment (SAT) has recently gained popularity due to low operating/maintenance cost of the method. However, the presence of organic micropollutants (OMPs) may present a health risk if the SAT is not adequately designed to ensure required attenuation of the OMPs. An important aspect of the design of the SAT system is the large degree of natural variability in the OMP concentrations/loads in the wastewater and the uncertainty associated with the current methods for calculation of the removal efficiency of the SAT for the OMPs. This study presents a novel model for more accurate prediction of the removal efficiency of the SAT system for the OMPs and the fate of the OMPs trapped within the vadose zone. A large data set is compiled covering a broad range of aquifer conditions, and the SAT system parameters, including hydraulic loading rate and dry/wet ratio. This study suggests that removal of OMPs in SAT systems is most affected by biodegradation rate and soil saturated hydraulic conductivity, in addition to dry to wet ratio. This conclusion is reached by the application of the developed prediction model using data sets from the case study SAT systems in Egypt.

ahmed a sattar, M. Elhakeem, M. Rezaie-Balf, B. Gharabaghi, and H. Bonakdari, Artificial intelligence models for prediction of the aeration efficiency of the stepped weir, , vol. 65, pp. 78 - 89, 2019. AbstractWebsite

Stepped weir is a commonly used hydraulic structure in water treatment plants to enhance the air-water transfer of oxygen or nitrogen and volatile organic components. The flow regimes on stepped weir are classified into nappe, transition and skimming flow. This study presents the novel application of artificial intelligence methods to evaluate the aeration efficiency over stepped weir for the three flow regimes. Two methods were adopted in this study, namely, the evolutionary polynomial regression (EPR) and the M5 model tree (M5 MT). A total of 151 laboratory experimental data sets were collected from the literature to train and test the artificial intelligence models. The Mallow's coefficient CP was used to determine the effective variables affecting aeration efficiency. It was found that weir steps number, slope, the flow Reynolds number, and the ratio of the critical flow depth to the step height are the most important variables providing the lowest Cp. Both the EPR and M5 MT methods provided satisfactory predictions for the aeration efficiency. The two methods have high values of correlation coefficient R> 0.93 and low values for the root mean square error RMSE< 0.052 and relative mean absolute error RMAE< 0.065. However, the EPR method has an advantage over the M5 MT method that it provides one equation for each regime, while the M5 MT method provides a number of equations for each regime. This will make the equations of the EPR method more attractive to the practitioners compared to the equations of the M5 MT method. It was found that the equations obtained from artificial intelligence methods in this study perform better than the currently existing equations in the litrature obtained from regressive methods.

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