How uncertain is model-based prediction of copper loads in stormwater runoff?
Artikel i vetenskaplig tidskrift, 2007

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.

load estimation

ALGORITHM

uncertainty

GLUE

stormwater modelling

micro-pollutants

CALIBRATION

Författare

E. Lindblom

Danmarks Tekniske Universitet (DTU)

Stefan Ahlman

Chalmers, Bygg- och miljöteknik, Vatten Miljö Teknik

P. S. Mikkelsen

Danmarks Tekniske Universitet (DTU)

Water Science and Technology

0273-1223 (ISSN)

Vol. 56 11 65-72

Ämneskategorier

Samhällsbyggnadsteknik

DOI

10.2166/wst.2007.748