Temporal variations in micropollutant inlet concentrations matter when planning the design and compliance assessment of stormwater control measures

Jensen, Ditte Marie Reinholdt; Mutzner, Lena; Wei, Yuansong; Mikkelsen, Peter Steen; Vezzaro, Luca

doi:10.1016/j.jenvman.2024.120583

Journal of Environmental Management

2024

DOI: 10.1016/j.jenvman.2024.120583

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Temporal variations in micropollutant inlet concentrations matter when planning the design and compliance assessment of stormwater control measures

Ditte Marie Reinholdt Jensen,

Lena Mutzner,

Yuansong Wei

et al.

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2024

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Cited by 3 publications

References 40 publications

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Intra-event variations of organic micropollutants in highway runoff and a presedimentation-biofilter treatment facility

Beryani,

Flanagan,

Viklander

et al. 2024

Journal of Hazardous Materials

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Intra-event variations of organic micropollutants in highway runoff and a presedimentation-biofilter treatment facility

Beryani,

Flanagan,

Viklander

et al. 2024

Journal of Hazardous Materials

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The impact of blue-green infrastructure on trace contaminants: A catchment-wide assessment

Poggioli,

Cavadini,

Zheng

et al. 2024

Water Research X

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Embracing epistemic uncertainty: a risk evaluation method for pollutants in stormwater

Pons,

Strømberg,

Blecken

et al. 2024

Water Science &Amp; Technology

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In this study, we show that pollutants of emerging concern are, by nature, prone to the emergence of epistemic uncertainty. We also show that the current uncertainty quantification methods used for pollutant modelling rely almost exclusively on parameter uncertainty, which is not adequate to tackle epistemic uncertainty affecting the model structure. We, therefore, suggest a paradigm shift in the current pollutant modelling approaches by adding a term explicitly accounting for epistemic uncertainties. In a proof-of-concept, we use this approach to investigate the impact of epistemic uncertainty in the fluctuation of pollutants during wet-weather discharge (input information) on the distribution of mass of pollutants (output distributions). We found that the range of variability negatively impacts the tail of output distributions. The fluctuation time, associated with high covariance between discharge and concentration, is a major driver for the output distributions. Adapting to different levels of epistemic uncertainty, our approach helps to identify critical unknown information in the fluctuation of pollutant's concentration. Such information can be used in a risk management context and to design smart monitoring campaigns.

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Temporal variations in micropollutant inlet concentrations matter when planning the design and compliance assessment of stormwater control measures

Cited by 3 publications

References 40 publications

Intra-event variations of organic micropollutants in highway runoff and a presedimentation-biofilter treatment facility

Intra-event variations of organic micropollutants in highway runoff and a presedimentation-biofilter treatment facility

The impact of blue-green infrastructure on trace contaminants: A catchment-wide assessment

Embracing epistemic uncertainty: a risk evaluation method for pollutants in stormwater

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