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How uncertain is model-based prediction of copper loads in stormwater runoff?

E. Lindblom ; Stefan Ahlman (Institutionen för bygg- och miljöteknik, Vatten Miljö Teknik) ; P. S. Mikkelsen
Water Science and Technology (0273-1223). Vol. 56 (2007), 11, p. 65-72.
[Artikel, refereegranskad vetenskaplig]

In this paper, we conduct a systematic analysis of the uncertainty related with estimating the total load of pollution (copper) from a separate stormwater drainage system, conditioned on a specific combination of input data, a dynamic conceptual pollutant accumulation-washout model and measurements (runoff volumes and pollutant masses). We use the generalized likelihood uncertainty estimation (GLUE) methodology and generate posterior parameter distributions that result in model outputs encompassing a significant number of the highly variable measurements. Given the applied pollution accumulation-washout model and a total of 57 measurements during one month, the total predicted copper masses can be predicted within a range of +/-50% of the median value. The message is that this relatively large uncertainty should be acknowledged in connection with posting statements about micropollutant loads as estimated from dynamic models, even when calibrated with on-site concentration data.

Nyckelord: GLUE, load estimation, micro-pollutants, stormwater modelling, uncertainty, CALIBRATION, ALGORITHM



Denna post skapades 2008-11-07. Senast ändrad 2008-11-12.
CPL Pubid: 77322

 

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Institutioner (Chalmers)

Institutionen för bygg- och miljöteknik, Vatten Miljö Teknik (2005-2017)

Ämnesområden

Samhällsbyggnadsteknik

Chalmers infrastruktur