ZJIŠŤOVÁNÍ PARAMETRŮ MODELU ZAHRNUJÍCÍHO KONCEPT DUÁLNÍ PÓROVITOSTI INVERZNÍM MODELOVÁNÍM

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F04%3A01104897" target="_blank" >RIV/68407700:21110/04:01104897 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Determining parameters of dual-permeability model from laboratory column experiment

Popis výsledku v původním jazyce

Laboratory experiments on large undisturbed soil sample were conducted. The soil represents heterogeneous soil and is known to exhibit preferential flow effects. The laboratory infiltration-outflow experiments, involving measurement of a tracer breakthrough curve, were performed and evaluated by solving the associated inverse problem for hydraulic and transport parameters. The 1D dual-permeability forward simulator, was coupled with the PEST. The flow and transport parameters were optimized. Several optimization scenarios resulting from different combination of observed data in the OF were compared. It is shown that the inclusion of additional type of data in the objective function can significantly reduce the impact of systematic measurement errors onoptimization. An important feature of the discussed inverse modeling approach is the combination of two different parametric models: the one used for the water flow parameters and the one used for the solute transport parameters.

Název v anglickém jazyce

Determining parameters of dual-permeability model from laboratory column experiment

Popis výsledku anglicky

Laboratory experiments on large undisturbed soil sample were conducted. The soil represents heterogeneous soil and is known to exhibit preferential flow effects. The laboratory infiltration-outflow experiments, involving measurement of a tracer breakthrough curve, were performed and evaluated by solving the associated inverse problem for hydraulic and transport parameters. The 1D dual-permeability forward simulator, was coupled with the PEST. The flow and transport parameters were optimized. Several optimization scenarios resulting from different combination of observed data in the OF were compared. It is shown that the inclusion of additional type of data in the objective function can significantly reduce the impact of systematic measurement errors onoptimization. An important feature of the discussed inverse modeling approach is the combination of two different parametric models: the one used for the water flow parameters and the one used for the solute transport parameters.

Druh

D - Stať ve sborníku

CEP obor

DD - Geochemie

OECD FORD obor

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Projekt

<a href="/cs/project/GA103%2F04%2F0663" target="_blank" >GA103/04/0663: Vliv makropórů v půdách Českomoravské vrchoviny na vyplavování dusičnanů do podzemních vod</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2004

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2nd International Workshop on Integrated Soil and Water Protection: Risk from Diffuse Pollution

ISBN

0935-4948

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

125-129

Název nakladatele

Eberhard Karls Universität Tübingen

Místo vydání

Tübingen

Místo konání akce

Praha

Datum konání akce

28. 6. 2004

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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