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Showing 2 results for Zarei Mahmoud Abadi

Tahereh Zarei Mahmoud Abadi, Ali Asghar Ebrahimi, Mohammad Taghi Ghaneian , Mehdi Mokhtari, Mohammad Hossein Salmani, Parvaneh Talebi,
Volume 1, Issue 1 (June 2016)
Abstract

Introduction: The objective of this study was to investigate wastewater quality and the efficiency of removal of wastewater contaminants produced by a tile factory by using ferric chloride, ferrous sulfate, ferric sulfate, aluminum sulfate (alum) and poly-aluminum chloride (PAC) coagulants.
Materials and Methods: This is an applied study. A composite sample was taken of the wastewater production line of the factory. Wastewater characteristics including pH, EC, temperature, turbidity, TSS, TDS, TS and COD were measured in accordance with the standard methods. In the next step, the jar-test experiment was used to investigate the effect of changing doses of coagulants (0.15, 0.2, 0.25, 0.3, 0.35 g/L) and pH values (7, 9, 11) on the removal of contaminants. The effective dose and optimal pH were thus selected and the best coagulant was later determined.
Results: The optimum pH of 11 was obtained for removal of contaminants by ferric chloride, ferric, ferrous sulfate and 7 for alum and PAC. The optimum concentration of the five coagulants was obtained at 0.3, 0.3, 0.3, 0.25, 0.25 g/L respectively. PAC, with the turbidity removal EC, TSS, TS and COD removal of 99.92%,17.74%, 99.93%, 89.8%, 75% respectively, had best performance at lower doses and alum, ferrous sulfate, chloride, ferric and ferric sulfate were placed in the next rankings.
Conclusion: Among the five studied coagulants, PAC is the most effective coagulant, and then alum, ferrous sulfate, ferric chloride and ferric sulfate are placed. Given that PAC is more expensive than other materials, care should be taken to select the most appropriate coagulant.
 


Parvaneh Talebi Hematabadi, Hadi Zarei Mahmoud Abadi , Hadi Eslami ,
Volume 1, Issue 2 (September 2016)
Abstract

Introduction: The development of an appropriate model for the quality control of an industrial wastewater treatment system can save the time as well as the cost. This study was performed to determine an appropriate model in order to predict the COD and TKN parameters by BOD5 and NH4+ in the Meybod industrial estate wastewater treatment plant (WWTP).
 Materials and Methods: This descriptive – analytical study was performed on 120 samples of the influent and effluent of the industrial estate wastewater treatment plant in Jahan Abad, Meybod, Yazd in 2015. The studied parameters were BOD5, TKN, COD, and NH4+. After measuring, they were imported to SPSS and Excel software to determine the relationship between them and then the linear regression model of the statistical method was used.
Results: The predictive results of COD values on the basis of BOD5 in the regression model showed that the coefficient of determination was 0.88 and the correlation coefficient was 0.93 (p = 0.00) for this relationship. The prediction of TKN values on the basis of NH4+ in the regression model
showed that for this relationship the determination coefficient of TKN and NH4+ influent parameters was 0.87 and the correlation coefficient was 0.93
(p = 0.00).

Conclusion: This study represented that using the linear regression model for predicting COD and TKN values through BOD5 and NH4+ was in close accordance with the laboratory data and can thus be applied when the Meybod industrial estate WWTP faces time limitations or sampling problems.


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