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Influence of the dispersion number on the estimation of coliform removal in ponds.

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Title: Influence of the dispersion number on the estimation of coliform removal in ponds.
Authors: Von Sperling, M.1 marcos@desa.ufmg.br
Source: Water Science & Technology. 2003, Vol. 48 Issue 2, p181-188. 8p.
Subjects: Sewage lagoons, Fecal contamination, Aquatic microbiology, Monte Carlo method, Dispersion (Chemistry), Effluent quality, Sewage purification, Computer simulation, Data modeling
Abstract: The paper uses the technique of Monte Carlo simulation in order to investigate the sensitivity to the Dispersion Number (d) of the effluent coliform concentration from facultative and maturation ponds. The Dispersion Number is one of the coefficients used in the dispersed-flow model for ponds. Initially, four empirical equations available in the literature for the estimation of d were compared, using the results from 1,000 runs of the Monte Carlo simulation. A second different set of Monte Carlo simulations (1,000 runs) was undertaken, allowing a sensitivity analysis of d, in conjunction with other coefficients and input data used in the design of facultative and maturation ponds (e.g., population, wastewater flow, coliform removal coefficient and others). The results of the simulations suggest that, when considering the high level of uncertainty in all input variables used in the design of the ponds for coliform removal, the Dispersion Number d does not present a greater influence in the model prediction, compared with the other input variables. Based on these considerations, it is likely that, for design purposes, simple models for the prediction of d can be used, without significantly affecting the estimation of the effluent coliform concentration, considering the existing uncertainty in all other input variables. [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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DbLabel: Engineering Source
An: 27024612
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Influence of the dispersion number on the estimation of coliform removal in ponds.
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  Data: <searchLink fieldCode="AR" term="%22Von+Sperling%2C+M%2E%22">Von Sperling, M.</searchLink><relatesTo>1</relatesTo><i> marcos@desa.ufmg.br</i>
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  Data: <searchLink fieldCode="JN" term="%22Water+Science+%26+Technology%22">Water Science & Technology</searchLink>. 2003, Vol. 48 Issue 2, p181-188. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Sewage+lagoons%22">Sewage lagoons</searchLink><br /><searchLink fieldCode="DE" term="%22Fecal+contamination%22">Fecal contamination</searchLink><br /><searchLink fieldCode="DE" term="%22Aquatic+microbiology%22">Aquatic microbiology</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Dispersion+%28Chemistry%29%22">Dispersion (Chemistry)</searchLink><br /><searchLink fieldCode="DE" term="%22Effluent+quality%22">Effluent quality</searchLink><br /><searchLink fieldCode="DE" term="%22Sewage+purification%22">Sewage purification</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Data+modeling%22">Data modeling</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The paper uses the technique of Monte Carlo simulation in order to investigate the sensitivity to the Dispersion Number (d) of the effluent coliform concentration from facultative and maturation ponds. The Dispersion Number is one of the coefficients used in the dispersed-flow model for ponds. Initially, four empirical equations available in the literature for the estimation of d were compared, using the results from 1,000 runs of the Monte Carlo simulation. A second different set of Monte Carlo simulations (1,000 runs) was undertaken, allowing a sensitivity analysis of d, in conjunction with other coefficients and input data used in the design of facultative and maturation ponds (e.g., population, wastewater flow, coliform removal coefficient and others). The results of the simulations suggest that, when considering the high level of uncertainty in all input variables used in the design of the ponds for coliform removal, the Dispersion Number d does not present a greater influence in the model prediction, compared with the other input variables. Based on these considerations, it is likely that, for design purposes, simple models for the prediction of d can be used, without significantly affecting the estimation of the effluent coliform concentration, considering the existing uncertainty in all other input variables. [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=27024612
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.2166/wst.2003.0116
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 8
        StartPage: 181
    Subjects:
      – SubjectFull: Sewage lagoons
        Type: general
      – SubjectFull: Fecal contamination
        Type: general
      – SubjectFull: Aquatic microbiology
        Type: general
      – SubjectFull: Monte Carlo method
        Type: general
      – SubjectFull: Dispersion (Chemistry)
        Type: general
      – SubjectFull: Effluent quality
        Type: general
      – SubjectFull: Sewage purification
        Type: general
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: Data modeling
        Type: general
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      – TitleFull: Influence of the dispersion number on the estimation of coliform removal in ponds.
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              M: 07
              Text: 2003
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