Model based monitoring of stormwater runoff quality

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

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Monitoring of micropollutants (MP) in stormwater is essential to evaluate the impacts of stormwater on the receiving aquatic environment. The aim of this study
was to investigate how different strategies for monitoring of stormwater quality (combination of model with field sampling) affect the information obtained about
MPs discharged from the monitored system. A dynamic stormwater quality model was calibrated using MP data collected by volume-proportional and passive
sampling in a storm drainage system in the outskirts of Copenhagen (Denmark) and a 10-year rain series was used to find annual average and maximum event mean concentrations. Use of this model reduced the uncertainty of predicted annual average concentrations compared to a simple stochastic method based solely on data. The predicted annual average obtained by using passive sampler measurements (one month installation) for calibration of the model resulted in the
same predicted level but narrower model prediction bounds than calibrations based on volume-proportional samples, allowing a better exploitation of the resources allocated for stormwater quality management.
Original languageEnglish
TitleUrban Drainage Modelling : Proceedings of the Ninth International Conference on Urban Drainage Modelling, Belgrade, Serbia, 4-6 September 2012
Number of pages9
PublisherUniversity of Belgrade
Publication date2012
ISBN (print)978-86-7518-156-9
StatePublished

Conference

Conference9th International Conference on Urban Drainage Modelling
CountrySerbia
CityBelgrade
Period04/09/1206/09/12
Internet addresshttp://hikom.grf.bg.ac.rs/9UDM/

Keywords

  • Modelling, Monitoring, Passive sampling, Stormwater
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