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Efficient methods for quantification of uncertainty in description of groundwater flow through random materials

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00209416" target="_blank" >RIV/68407700:21110/13:00209416 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Efficient methods for quantification of uncertainty in description of groundwater flow through random materials

  • Original language description

    The prediction of groundwater flow is strongly influenced by the soil permeability generally varying within the space. Determination of the spatial distribution of the permeability is, however, unfeasible and thus the relevant uncertainties should be taken into account. One possibility is to describe the soil permeability by a random field. The present contribution is devoted to propagation of these uncertainties in permeability into probabilistic description of groundwater flow. A central challenge ofuncertainty propagation consists in large number of forward model evaluations required by Monte Carlo sampling of model response. With complex forward models, such as those described by partial differential equations, each single evaluation can be computationally expensive. One possible way to overcome this problem is to express the response in polynomial chaos expansion (PCE) providing a fast forward surrogate. In this contribution, we present a comparison of the two methods for constru

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

    JM - Structural engineering

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2013

  • Confidentiality

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