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Discharge-dependent pollutant dispersion in rivers: Estimation of aggregated dead zone parameters with surrogate data
Lancaster Environment Centre, Lancaster University, Lancaster, UK.
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2006 (English)In: Water resources research, ISSN 0043-1397, E-ISSN 1944-7973, Vol. 42, no 4, W04412- p.Article in journal (Refereed) Published
Abstract [en]

Much has been done to mitigate the effects of intermittent discharges of pollutants; however, pollution incidents still occur, and the downstream transport and dispersion of pollutants must be predicted. The application of transient storage models based on the advection dispersion equation is often limited by the strong dependence of the parameters on changes in discharge. In this paper a methodology is outlined for estimating the parameters of the simple aggregated dead zone model using surrogate data derived from continuous water quality measurements such as conductivity, including a full treatment of the errors and prediction uncertainties within a Bayesian framework. This methodology is demonstrated in the prediction of a tracer experiment on a reach of the river Elbe in the Czech Republic.

Place, publisher, year, edition, pages
2006. Vol. 42, no 4, W04412- p.
Keyword [en]
aggregated dead zone model, pollution prediction, river pollution
National Category
Earth and Related Environmental Sciences
URN: urn:nbn:se:uu:diva-140449DOI: 10.1029/2005WR004008ISI: 000237314400001OAI: oai:DiVA.org:uu-140449DiVA: diva2:383647
Available from: 2011-01-05 Created: 2011-01-05 Last updated: 2013-09-03Bibliographically approved

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Beven, Keith
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