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Journal of Environment and Biotechnology Research

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Algorithms and statistics for municipal wastewater treatment using nano zero valent iron (nZVI)

Journal of Environment and Biotechnology Research, Vol. 7, No. 3, Page 30-44, Jul 2018

Ahmed S. Mahmoud, Marwa M. EL-Tayieb, Neama Ahmed Sobhy Ahmed, Ayman M. Mostafa

DOI: to be updated


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ABSTRACT

Nano Zero Valent Iron (nZVI), one of magnetic nanosorbens, was successfully prepared which is used in the removal of different wastewater contaminants simultaneously without adding any surfactant. The prepared nZVI was characterized by X-Ray diffraction (XRD), Scanning electron microscope (SEM) and Ultraviolet spectrophotometer. The prepared nZVI was tested for domestic wastewater treatment at different operating parameter for pH, nZVI dosage, contact time and stirring rate. The efficiency of treatment was evaluated according to the reduction in turbidity, total nitrogen (TN), total phosphorus (TP), chemical oxygen demand (COD), biological oxygen demand (BOD), ammonia, total suspended solids (TSS), and total dissolved solids (TDS). The optimum conditions for the effective removal was appeared at neutral pH using nZVI with 0.4 g/L dosage for 30 min with fixed stirring rate 150 rpm and the removal percentages was between 13 and 93% for the above mentioned parameter. Statistical analysis using Response surface methodology, Artificial neural networks was studied using linear regression and nonlinear Multi-Layer Perceptron algorithms, respectively, to predict the model’s significance, R2, standard error, probability, accuracy and importance of different covariables. The statistic models can describe the removal behavior of each contaminant in the separate step and estimate individual removal equation for any application.
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Journal of Environment and Biotechnology Research
Volume 7, Number 3, 2018, pp. 30-44
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