Probabilistic Identification of Unsaturated Soil Hydraulic Properties from Single Ring Infiltration Experiment

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F19%3A00331369" target="_blank" >RIV/68407700:21110/19:00331369 - 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

Probabilistic Identification of Unsaturated Soil Hydraulic Properties from Single Ring Infiltration Experiment

Popis výsledku v původním jazyce

Knowledge of soil hydraulic properties is essential for modelling hydrodynamic phenomenons in soils under variably saturated conditions. This contribution focuses specifically on the properties of the top layer of soil which fundamentally influences the rainfall-runoff process, but the laboratory experimental procedures for the top-soil are very limited due to e.g. vegetation disturbing the experimental samples. The Richards equation describing the soil water flow process is here parameterised by the Mualem-van Genuchten model. The identification of the soil hydraulic parameters of this model is based on an in situ measurement of the single ring infiltration experiment. The experimental data and a priori information about parameters' values are combined according to Bayes' rule in order to obtain an updated probabilistic description of unknown parameters. The Bayesian inference is realized by the Markov chain Monte Carlo method based on a less time-consuming polynomial approximation of the Mualem-van Genuchten model.

Název v anglickém jazyce

Probabilistic Identification of Unsaturated Soil Hydraulic Properties from Single Ring Infiltration Experiment

Popis výsledku anglicky

Knowledge of soil hydraulic properties is essential for modelling hydrodynamic phenomenons in soils under variably saturated conditions. This contribution focuses specifically on the properties of the top layer of soil which fundamentally influences the rainfall-runoff process, but the laboratory experimental procedures for the top-soil are very limited due to e.g. vegetation disturbing the experimental samples. The Richards equation describing the soil water flow process is here parameterised by the Mualem-van Genuchten model. The identification of the soil hydraulic parameters of this model is based on an in situ measurement of the single ring infiltration experiment. The experimental data and a priori information about parameters' values are combined according to Bayes' rule in order to obtain an updated probabilistic description of unknown parameters. The Bayesian inference is realized by the Markov chain Monte Carlo method based on a less time-consuming polynomial approximation of the Mualem-van Genuchten model.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20101 - Civil engineering

Projekt

<a href="/cs/project/GA18-04262S" target="_blank" >GA18-04262S: Pravděpodobnostní identifikace materiálových transportních parametrů založená na neinvazivních experimentálních měřeních</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Engineering Mechanics 2019: Book of full texts

ISBN

978-80-87012-71-0

ISSN

1805-8248

e-ISSN

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Počet stran výsledku

4

Strana od-do

165-168

Název nakladatele

Institute of Thermomechanics, AS CR, v.v.i.

Místo vydání

Prague

Místo konání akce

Svratka

Datum konání akce

13. 5. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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