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Using two pedotransfer functions to estimate soil moisture retention curves from one experimental site of South Moravia

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F14%3APU107139" target="_blank" >RIV/00216305:26110/14:PU107139 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.11118/actaun201462030501" target="_blank" >http://dx.doi.org/10.11118/actaun201462030501</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.11118/actaun201462030501" target="_blank" >10.11118/actaun201462030501</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using two pedotransfer functions to estimate soil moisture retention curves from one experimental site of South Moravia

  • Original language description

    The soil moisture retention curves (SMRCs) were measured in laboratory conditions. The sand table and pressure extractor method were used to obtain a 9-point SMRCs for undisturbed soil samples taken from 20 cm depth. The data points of the individual retention curves were parameterized using the RETC computer program. For the same soil, the SMRCs were estimated by two models of pedotransfer functions (PTFs). In the first part of the study the Rosetta program with the model of artificial neural network (Schaap et al. 1998) was used. The PTFs derived by Wosten et al. (1998) were used in the second part of the study. The reliability of selected PTFs models were tested on local soils from one site of the South Moravia. The quality of estimated retention curves was evaluated using the coefficient for correlation R between the measured and the estimated soil water content at several pF values and the root mean squared error RMSE. Of the two models of PTFs, which have been tested in the study, Model of Wosten showed better agreement with the measured retention curves (RMSESch = 0.0383 (cm3.cm-3), RMSEW = 0.0264 (cm3.cm-3)).

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    40104 - Soil science

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis

  • ISSN

    1211-8516

  • e-ISSN

    2464-8310

  • Volume of the periodical

    62

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    6

  • Pages from-to

    501-506

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-84924219520