Assessing uncertainty of a biofilter micropollutant transport model MPiRe

Anja Randelovic, Kefeng Zhang, David McCarthy, Ana Deletic

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

Abstract

MPiRe (Micro-Pollutants In RaingardEns) model was developed to predict both flows and removal of micropollutants by stormwater biofilters. It is a conceptual 1D model that includes sorption/desorption, biodegradation and volatilization processes. This paper presents an uncertainty evaluation of MPiRe using the GLUE methodology with atrazine as a representative pollutant. The uncertainty analysis shows that the soil-water partitioning coefficient (normalized to organic carbon content) is the most sensitive model parameter, while there is some correlation between sorption parameters and high uncertainty in the degradation rate estimation. It is hypothesized that the correlation between sorption parameters can be diminished by choosing two different combinations of calibration parameters (e.g. variations of their mutual products), and this hypothesis will be further tested. The practical implication of this analysis is that particular care should be given to measurements of initial outflow concentrations of events (to decrease the uncertainty in the degradation rate estimation). Additionally, if it is necessary to prioritize between monitoring procedures, the most attention should be given to sorption kinetics.

Original languageEnglish
Title of host publicationNew Trends in Urban Drainage Modelling - UDM 2018
EditorsGiorgio Mannina
PublisherSpringer
Pages246-250
Number of pages5
ISBN (Print)9783319998664
DOIs
Publication statusPublished - 1 Sep 2019
EventInternational Conference on Urban Drainage Modelling 2018 - University of Palermo, Palermo, Italy
Duration: 23 Sep 201826 Sep 2018
Conference number: 11th

Publication series

NameGreen Energy and Technology
ISSN (Print)1865-3529
ISSN (Electronic)1865-3537

Conference

ConferenceInternational Conference on Urban Drainage Modelling 2018
Abbreviated titleUDM 2018
CountryItaly
CityPalermo
Period23/09/1826/09/18

Keywords

  • Atrazine
  • Micropollutant transport
  • MPiRe
  • Stormwater biofilters
  • Uncertainty analysis

Cite this

Randelovic, A., Zhang, K., McCarthy, D., & Deletic, A. (2019). Assessing uncertainty of a biofilter micropollutant transport model MPiRe. In G. Mannina (Ed.), New Trends in Urban Drainage Modelling - UDM 2018 (pp. 246-250). (Green Energy and Technology). Springer. https://doi.org/10.1007/978-3-319-99867-1_41
Randelovic, Anja ; Zhang, Kefeng ; McCarthy, David ; Deletic, Ana. / Assessing uncertainty of a biofilter micropollutant transport model MPiRe. New Trends in Urban Drainage Modelling - UDM 2018. editor / Giorgio Mannina. Springer, 2019. pp. 246-250 (Green Energy and Technology).
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abstract = "MPiRe (Micro-Pollutants In RaingardEns) model was developed to predict both flows and removal of micropollutants by stormwater biofilters. It is a conceptual 1D model that includes sorption/desorption, biodegradation and volatilization processes. This paper presents an uncertainty evaluation of MPiRe using the GLUE methodology with atrazine as a representative pollutant. The uncertainty analysis shows that the soil-water partitioning coefficient (normalized to organic carbon content) is the most sensitive model parameter, while there is some correlation between sorption parameters and high uncertainty in the degradation rate estimation. It is hypothesized that the correlation between sorption parameters can be diminished by choosing two different combinations of calibration parameters (e.g. variations of their mutual products), and this hypothesis will be further tested. The practical implication of this analysis is that particular care should be given to measurements of initial outflow concentrations of events (to decrease the uncertainty in the degradation rate estimation). Additionally, if it is necessary to prioritize between monitoring procedures, the most attention should be given to sorption kinetics.",
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Randelovic, A, Zhang, K, McCarthy, D & Deletic, A 2019, Assessing uncertainty of a biofilter micropollutant transport model MPiRe. in G Mannina (ed.), New Trends in Urban Drainage Modelling - UDM 2018. Green Energy and Technology, Springer, pp. 246-250, International Conference on Urban Drainage Modelling 2018, Palermo, Italy, 23/09/18. https://doi.org/10.1007/978-3-319-99867-1_41

Assessing uncertainty of a biofilter micropollutant transport model MPiRe. / Randelovic, Anja; Zhang, Kefeng; McCarthy, David; Deletic, Ana.

New Trends in Urban Drainage Modelling - UDM 2018. ed. / Giorgio Mannina. Springer, 2019. p. 246-250 (Green Energy and Technology).

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

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Randelovic A, Zhang K, McCarthy D, Deletic A. Assessing uncertainty of a biofilter micropollutant transport model MPiRe. In Mannina G, editor, New Trends in Urban Drainage Modelling - UDM 2018. Springer. 2019. p. 246-250. (Green Energy and Technology). https://doi.org/10.1007/978-3-319-99867-1_41