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Discharge-dependent pollutant dispersion in rivers: Estimation of aggregated dead zone parameters with surrogate data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020711%3A_____%2F06%3A00001243" target="_blank" >RIV/00020711:_____/06:00001243 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Discharge-dependent pollutant dispersion in rivers: Estimation of aggregated dead zone parameters with surrogate data

  • Original language description

    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 is often limited by the strong dependence of the parameters on changes in discharge. In this paper a methodology for estimating the parameters of the Aggregated Dead Zone model using surrogate data derived from continuous water quality measurements is outlined,including a full treatment of the errors and prediction uncertainties. This methodology is demonstrated in the prediction of a tracer experiment on a reach of the River Elbe in the Czech Republic.

  • Czech name

    Discharge-dependent pollutant dispersion in rivers: Estimation of aggregated dead zone parameters with surrogate data

  • Czech description

    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 is often limited by the strong dependence of the parameters on changes in discharge. In this paper a methodology for estimating the parameters of the Aggregated Dead Zone model using surrogate data derived from continuous water quality measurements is outlined,including a full treatment of the errors and prediction uncertainties. This methodology is demonstrated in the prediction of a tracer experiment on a reach of the River Elbe in the Czech Republic.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    DJ - Pollution and water control

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/SA%2F650%2F5%2F03" target="_blank" >SA/650/5/03: Project Elbe IV</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2006

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Water Resources Research

  • ISSN

    0043-1397

  • e-ISSN

  • Volume of the periodical

    2006

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    9

  • Pages from-to

    1-9

  • UT code for WoS article

  • EID of the result in the Scopus database