A Review of Biological Processes for Dairy Wastewater Treatment and the Effect of Physical Parameters Which Affect Their Efficiency

The global dairy sector produces upwards of 900 million tonnes of milk each year, resulting in 2.25 billion tonnes of wastewater being generated. This is significant in the South African context as a large percentage of the population lives without reliable access to clean, reliable water. The treat...

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Main Authors: Jyestha Ramsuroop, Laurah Gutu, Wasiu B. Ayinde, Moses Basitere, Malibongwe S. Manono
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/16/4/537
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author Jyestha Ramsuroop
Laurah Gutu
Wasiu B. Ayinde
Moses Basitere
Malibongwe S. Manono
author_facet Jyestha Ramsuroop
Laurah Gutu
Wasiu B. Ayinde
Moses Basitere
Malibongwe S. Manono
author_sort Jyestha Ramsuroop
collection DOAJ
description The global dairy sector produces upwards of 900 million tonnes of milk each year, resulting in 2.25 billion tonnes of wastewater being generated. This is significant in the South African context as a large percentage of the population lives without reliable access to clean, reliable water. The treatment of dairy wastewater (DWW) in this context would help alleviate the unavailability for many people in this country. DWW has a high fat content along with a high chemical oxygen demand (COD), which makes it problematic to dispose of. Biological treatment processes have shown great success in the remediation of this water. However, these are not without their shortfalls. A variety of biological processes have been listed here as well as suggestions to improve their effectiveness. To improve the treatment efficiency, there are two main lines of thinking: First, to optimise the process through the manipulation of the physical parameters of the systems (e.g., temperature, pH, hydraulic retention time (HRT), agitation, etc.). Second, to add either pre-treatment or post-treatment processes to the main process to increase the effectiveness of the entire process overall. These different options have been discussed, with suggestions being made on the way forward.
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spelling doaj.art-b16fefb39d45463cafd8ce62d0f9a17b2024-02-23T15:37:53ZengMDPI AGWater2073-44412024-02-0116453710.3390/w16040537A Review of Biological Processes for Dairy Wastewater Treatment and the Effect of Physical Parameters Which Affect Their EfficiencyJyestha Ramsuroop0Laurah Gutu1Wasiu B. Ayinde2Moses Basitere3Malibongwe S. Manono4Academic Support for Engineering in Cape Town (ASPECT) & Water Research Group, Department of Civil Engineering, Faculty of Engineering and Built Environment, Upper Campus, University of Cape Town, Rondebosch 7701, South AfricaAcademic Support for Engineering in Cape Town (ASPECT) & Water Research Group, Department of Civil Engineering, Faculty of Engineering and Built Environment, Upper Campus, University of Cape Town, Rondebosch 7701, South AfricaAcademic Support for Engineering in Cape Town (ASPECT) & Water Research Group, Department of Civil Engineering, Faculty of Engineering and Built Environment, Upper Campus, University of Cape Town, Rondebosch 7701, South AfricaAcademic Support for Engineering in Cape Town (ASPECT) & Water Research Group, Department of Civil Engineering, Faculty of Engineering and Built Environment, Upper Campus, University of Cape Town, Rondebosch 7701, South AfricaCentre for Minerals Research, Department of Chemical Engineering, Faculty of Engineering and Built Environment, University of Cape Town, Rondebosch 7701, South AfricaThe global dairy sector produces upwards of 900 million tonnes of milk each year, resulting in 2.25 billion tonnes of wastewater being generated. This is significant in the South African context as a large percentage of the population lives without reliable access to clean, reliable water. The treatment of dairy wastewater (DWW) in this context would help alleviate the unavailability for many people in this country. DWW has a high fat content along with a high chemical oxygen demand (COD), which makes it problematic to dispose of. Biological treatment processes have shown great success in the remediation of this water. However, these are not without their shortfalls. A variety of biological processes have been listed here as well as suggestions to improve their effectiveness. To improve the treatment efficiency, there are two main lines of thinking: First, to optimise the process through the manipulation of the physical parameters of the systems (e.g., temperature, pH, hydraulic retention time (HRT), agitation, etc.). Second, to add either pre-treatment or post-treatment processes to the main process to increase the effectiveness of the entire process overall. These different options have been discussed, with suggestions being made on the way forward.https://www.mdpi.com/2073-4441/16/4/537dairywastewaterbiologicaloptimizationtreatmentCOD
spellingShingle Jyestha Ramsuroop
Laurah Gutu
Wasiu B. Ayinde
Moses Basitere
Malibongwe S. Manono
A Review of Biological Processes for Dairy Wastewater Treatment and the Effect of Physical Parameters Which Affect Their Efficiency
Water
dairy
wastewater
biological
optimization
treatment
COD
title A Review of Biological Processes for Dairy Wastewater Treatment and the Effect of Physical Parameters Which Affect Their Efficiency
title_full A Review of Biological Processes for Dairy Wastewater Treatment and the Effect of Physical Parameters Which Affect Their Efficiency
title_fullStr A Review of Biological Processes for Dairy Wastewater Treatment and the Effect of Physical Parameters Which Affect Their Efficiency
title_full_unstemmed A Review of Biological Processes for Dairy Wastewater Treatment and the Effect of Physical Parameters Which Affect Their Efficiency
title_short A Review of Biological Processes for Dairy Wastewater Treatment and the Effect of Physical Parameters Which Affect Their Efficiency
title_sort review of biological processes for dairy wastewater treatment and the effect of physical parameters which affect their efficiency
topic dairy
wastewater
biological
optimization
treatment
COD
url https://www.mdpi.com/2073-4441/16/4/537
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