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Investigation and modelling of high rate algal ponds utilising secondary effluent at Western Water, Bacchus Marsh Recycled Water Plant.

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Title: Investigation and modelling of high rate algal ponds utilising secondary effluent at Western Water, Bacchus Marsh Recycled Water Plant.
Authors: Wrede, Digby1 digby.wrede@live.vu.edu.au, Hussainy, Syed U.1, Rajendram, William2, Gray, Stephen1
Source: Water Science & Technology. 2018, Vol. 78 Issue 1, p20-30. 11p.
Subjects: Algae, Wastewater treatment, Plant biomass, Algal growth, Ammonia
Abstract: There is growing interest in the ability of high rate algal ponds (HRAP) to treat wastewater. This method reduces the costs of algal production while treating the wastewater quicker and more efficiently than standard lagoon practices. Two parallel HRAPs were used in this study to treat secondary effluent. Nitrogen levels were significantly reduced with a mean reduction of 71% for ammonia and 64% for total nitrogen. The use of the HRAPs significantly increased the algal biomass levels compared to the algal growth in the storage lagoons, with a mean increase of 274%. Beneficial use of algae can be used to reduce treatment costs; so being able to predict and optimise the amount of algal biomass produced in HRAPs is vital. However, most models are complicated and require specific, detailed information. In this study, a predictive microalgal growth model was developed for HRAP by adapting two previously established models: the Steele and Monod models. The model could predict algal growth based on temperatures and solar radiation and account for limiting ammonia concentrations in an elevated pH environment with natural variations in the algal community. This model used experimental data that would be readily available to any established HRAP study. [ABSTRACT FROM AUTHOR]
Copyright of Water Science & Technology is the property of IWA Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Label: Title
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  Data: Investigation and modelling of high rate algal ponds utilising secondary effluent at Western Water, Bacchus Marsh Recycled Water Plant.
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  Data: <searchLink fieldCode="AR" term="%22Wrede%2C+Digby%22">Wrede, Digby</searchLink><relatesTo>1</relatesTo><i> digby.wrede@live.vu.edu.au</i><br /><searchLink fieldCode="AR" term="%22Hussainy%2C+Syed+U%2E%22">Hussainy, Syed U.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Rajendram%2C+William%22">Rajendram, William</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Gray%2C+Stephen%22">Gray, Stephen</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Water+Science+%26+Technology%22">Water Science & Technology</searchLink>. 2018, Vol. 78 Issue 1, p20-30. 11p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Algae%22">Algae</searchLink><br /><searchLink fieldCode="DE" term="%22Wastewater+treatment%22">Wastewater treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Plant+biomass%22">Plant biomass</searchLink><br /><searchLink fieldCode="DE" term="%22Algal+growth%22">Algal growth</searchLink><br /><searchLink fieldCode="DE" term="%22Ammonia%22">Ammonia</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: There is growing interest in the ability of high rate algal ponds (HRAP) to treat wastewater. This method reduces the costs of algal production while treating the wastewater quicker and more efficiently than standard lagoon practices. Two parallel HRAPs were used in this study to treat secondary effluent. Nitrogen levels were significantly reduced with a mean reduction of 71% for ammonia and 64% for total nitrogen. The use of the HRAPs significantly increased the algal biomass levels compared to the algal growth in the storage lagoons, with a mean increase of 274%. Beneficial use of algae can be used to reduce treatment costs; so being able to predict and optimise the amount of algal biomass produced in HRAPs is vital. However, most models are complicated and require specific, detailed information. In this study, a predictive microalgal growth model was developed for HRAP by adapting two previously established models: the Steele and Monod models. The model could predict algal growth based on temperatures and solar radiation and account for limiting ammonia concentrations in an elevated pH environment with natural variations in the algal community. This model used experimental data that would be readily available to any established HRAP study. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Water Science & Technology is the property of IWA Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=131493493
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.2166/wst.2018.202
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 20
    Subjects:
      – SubjectFull: Algae
        Type: general
      – SubjectFull: Wastewater treatment
        Type: general
      – SubjectFull: Plant biomass
        Type: general
      – SubjectFull: Algal growth
        Type: general
      – SubjectFull: Ammonia
        Type: general
    Titles:
      – TitleFull: Investigation and modelling of high rate algal ponds utilising secondary effluent at Western Water, Bacchus Marsh Recycled Water Plant.
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            NameFull: Hussainy, Syed U.
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            NameFull: Rajendram, William
      – PersonEntity:
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            NameFull: Gray, Stephen
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            – D: 13
              M: 08
              Text: 2018
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              Y: 2018
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            – TitleFull: Water Science & Technology
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