Removing Fe, Zn and Mn from steel making plant wastewater using RO and NF membranes
Background and purpose: Excessive amount of heavy metals in industrial wastewater is a seriously crucial issue and requires efficient methods to be introduced and dealt with. Meanwhile, steel making plants as productive units in every country release large amounts of fluid into surface and undergrou...
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doaj-924c1801ae944e43b9f51307b7caeaf62020-11-24T21:47:39ZengMazandaran University of Medical Sciencesعلوم بهداشتی ایران2322-553X2322-47972016-12-01444155Removing Fe, Zn and Mn from steel making plant wastewater using RO and NF membranesSeyed Ahmad Mirbagheri0Nader Biglarijoo1Siavash Ahmadi2Parisa Razmara3Alireza Yazdan Doost4 Khaje Nasir Toosi University of Technology, Tehran, Iran Khaje Nasir Toosi University of Technology, Tehran, Iran Khaje Nasir Toosi University of Technology, Tehran, Iran Islamic Azad University, Hamedan, Iran Buali-Sina University, Hamedan, Iran Background and purpose: Excessive amount of heavy metals in industrial wastewater is a seriously crucial issue and requires efficient methods to be introduced and dealt with. Meanwhile, steel making plants as productive units in every country release large amounts of fluid into surface and underground sources. Typically, this wastewater contains heavy metals in minor amounts, while this amount could cause severe damages to the living organisms. Materials and methods: In this study, removing iron, manganese, zinc and total dissolved solid in a typical wastewater resulted from steel making plant was considered using reverse osmosis (RO) and nanofiltration (NF) membranes. At first, different pH values and operating pressures were applied to the wastewater. Then, these parameters were evaluated for a wastewater only containing iron to compare the interaction of other elements in iron removal. Results: The results indicated that RO and NF membranes could successfully treat industrial wastewater containing several heavy metals with high concentrations of Fe, Zn and Mn, especially at optimum pH and pressure. Moreover, the interaction of other heavy metals and components in the influent decreased the efficiency of RO but improved the NF efficiency to remove iron. To have a better image, a formula was proposed for each method to represent the influence of the parameters on removal rates. Finally, cost estimation for both procedures showed that RO was not economically-technically efficient in comparison with NF. Conclusion: NF showed an acceptable performance with high water flow which made it more suitable for industries. At the end, the relative cost analysis showed that even if the initial price of NF is high, the energy consumption and total cost of RO will be higher.http://jhs.mazums.ac.ir/browse.php?a_code=A-10-433-1&slc_lang=en&sid=1Heavy metals Environment Regression Cost |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Seyed Ahmad Mirbagheri Nader Biglarijoo Siavash Ahmadi Parisa Razmara Alireza Yazdan Doost |
spellingShingle |
Seyed Ahmad Mirbagheri Nader Biglarijoo Siavash Ahmadi Parisa Razmara Alireza Yazdan Doost Removing Fe, Zn and Mn from steel making plant wastewater using RO and NF membranes علوم بهداشتی ایران Heavy metals Environment Regression Cost |
author_facet |
Seyed Ahmad Mirbagheri Nader Biglarijoo Siavash Ahmadi Parisa Razmara Alireza Yazdan Doost |
author_sort |
Seyed Ahmad Mirbagheri |
title |
Removing Fe, Zn and Mn from steel making plant wastewater using RO and NF membranes |
title_short |
Removing Fe, Zn and Mn from steel making plant wastewater using RO and NF membranes |
title_full |
Removing Fe, Zn and Mn from steel making plant wastewater using RO and NF membranes |
title_fullStr |
Removing Fe, Zn and Mn from steel making plant wastewater using RO and NF membranes |
title_full_unstemmed |
Removing Fe, Zn and Mn from steel making plant wastewater using RO and NF membranes |
title_sort |
removing fe, zn and mn from steel making plant wastewater using ro and nf membranes |
publisher |
Mazandaran University of Medical Sciences |
series |
علوم بهداشتی ایران |
issn |
2322-553X 2322-4797 |
publishDate |
2016-12-01 |
description |
Background and purpose: Excessive amount of heavy metals in industrial wastewater is a seriously crucial issue and requires efficient methods to be introduced and dealt with. Meanwhile, steel making plants as productive units in every country release large amounts of fluid into surface and underground sources. Typically, this wastewater contains heavy metals in minor amounts, while this amount could cause severe damages to the living organisms.
Materials and methods: In this study, removing iron, manganese, zinc and total dissolved solid in a typical wastewater resulted from steel making plant was considered using reverse osmosis (RO) and nanofiltration (NF) membranes. At first, different pH values and operating pressures were applied to the wastewater. Then, these parameters were evaluated for a wastewater only containing iron to compare the interaction of other elements in iron removal.
Results: The results indicated that RO and NF membranes could successfully treat industrial wastewater containing several heavy metals with high concentrations of Fe, Zn and Mn, especially at optimum pH and pressure. Moreover, the interaction of other heavy metals and components in the influent decreased the efficiency of RO but improved the NF efficiency to remove iron. To have a better image, a formula was proposed for each method to represent the influence of the parameters on removal rates. Finally, cost estimation for both procedures showed that RO was not economically-technically efficient in comparison with NF.
Conclusion: NF showed an acceptable performance with high water flow which made it more suitable for industries. At the end, the relative cost analysis showed that even if the initial price of NF is high, the energy consumption and total cost of RO will be higher. |
topic |
Heavy metals Environment Regression Cost |
url |
http://jhs.mazums.ac.ir/browse.php?a_code=A-10-433-1&slc_lang=en&sid=1 |
work_keys_str_mv |
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