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Discharge‐dependent pollutant dispersion in rivers: Estimation of aggregated dead zone parameters with surrogate data
Author(s) -
Smith Paul,
Beven Keith,
Tawn Jonathan,
Blazkova Sarka,
Merta Ladislav
Publication year - 2006
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/2005wr004008
Subject(s) - pollutant , environmental science , dispersion (optics) , dead zone , pollution , tracer , water quality , hydrology (agriculture) , advection , soil science , geotechnical engineering , geology , ecology , chemistry , physics , oceanography , organic chemistry , nuclear physics , optics , thermodynamics , biology
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.