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Assessment of evaluation methods using infiltration data measured in heterogeneous mountain soils

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F16%3A00328747" target="_blank" >RIV/68407700:21110/16:00328747 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/60460709:41330/16:70378

  • Výsledek na webu

    <a href="http://dx.doi.org/10.1016/j.geoderma.2016.04.023" target="_blank" >http://dx.doi.org/10.1016/j.geoderma.2016.04.023</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.geoderma.2016.04.023" target="_blank" >10.1016/j.geoderma.2016.04.023</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Assessment of evaluation methods using infiltration data measured in heterogeneous mountain soils

  • Popis výsledku v původním jazyce

    In order to obtain infiltration parameters and analytical expressions of the cumulative infiltration and infiltration rate, raw infiltration data are often evaluated using various infiltration equations. Knowledge about the evaluation variability of these equations in the specific case of extremely heterogeneous soils provides important information for many hydrological and engineering applications. This paper evaluates five well-established physically-based equations (Eqs.) - Brutsaert (1977), Green and Ampt (1911), Kutilek and Krejca (1987), Philip (1957), Swartzendruber (1987) -, and two empirical Eqs. - Horton (1940), Mezencev (1948) using measured infiltration data. This paper also compares sorptivity (S) and saturated hydraulic conductivity (K-s) estimates of these Eqs. with the reference estimates using early-time parts resp. quasi-steady parts of raw data. A total of 47 single ring infiltration experiments (datasets measured on three different sites of hydrologically important mountain podzols) were evaluated using the seven Eqs. and also using the methods for reference estimates of S and K-s. From the quality-of-fit perspective, all of the seven Eqs. characterized large part of the datasets properly. In some cases, Philip, Kutilek and Krelea, and Green and Ampt Eqs. led to poor fits of the datasets (measured mostly on site 3 characterized by the lowest thicknesses of the organic horizon, and a more bleached eluvial horizon than on the other tested sites). For the parameters evaluated on site 3, 1) the mean S estimates of Green and Ampt, Kutilek and Krejca, and Philip were significantly lower than the mean S estimates of Brutsaert and Swartzendruber, and 2) the mean K-s, estimates of Kutilek and Krejca, and of Philip, were significantly lower than the mean K-s, estimates of Brutsaert, Swartzendruber and Horton. The Swartzendruber and Brutsaert Eqs. exhibited 1) high quality of fitting and 2) good consistency of the K-s, estimates with reference values. (C) 2

  • Název v anglickém jazyce

    Assessment of evaluation methods using infiltration data measured in heterogeneous mountain soils

  • Popis výsledku anglicky

    In order to obtain infiltration parameters and analytical expressions of the cumulative infiltration and infiltration rate, raw infiltration data are often evaluated using various infiltration equations. Knowledge about the evaluation variability of these equations in the specific case of extremely heterogeneous soils provides important information for many hydrological and engineering applications. This paper evaluates five well-established physically-based equations (Eqs.) - Brutsaert (1977), Green and Ampt (1911), Kutilek and Krejca (1987), Philip (1957), Swartzendruber (1987) -, and two empirical Eqs. - Horton (1940), Mezencev (1948) using measured infiltration data. This paper also compares sorptivity (S) and saturated hydraulic conductivity (K-s) estimates of these Eqs. with the reference estimates using early-time parts resp. quasi-steady parts of raw data. A total of 47 single ring infiltration experiments (datasets measured on three different sites of hydrologically important mountain podzols) were evaluated using the seven Eqs. and also using the methods for reference estimates of S and K-s. From the quality-of-fit perspective, all of the seven Eqs. characterized large part of the datasets properly. In some cases, Philip, Kutilek and Krelea, and Green and Ampt Eqs. led to poor fits of the datasets (measured mostly on site 3 characterized by the lowest thicknesses of the organic horizon, and a more bleached eluvial horizon than on the other tested sites). For the parameters evaluated on site 3, 1) the mean S estimates of Green and Ampt, Kutilek and Krejca, and Philip were significantly lower than the mean S estimates of Brutsaert and Swartzendruber, and 2) the mean K-s, estimates of Kutilek and Krejca, and of Philip, were significantly lower than the mean K-s, estimates of Brutsaert, Swartzendruber and Horton. The Swartzendruber and Brutsaert Eqs. exhibited 1) high quality of fitting and 2) good consistency of the K-s, estimates with reference values. (C) 2

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    40104 - Soil science

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2016

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Geoderma

  • ISSN

    0016-7061

  • e-ISSN

    1872-6259

  • Svazek periodika

    276

  • Číslo periodika v rámci svazku

    August

  • Stát vydavatele periodika

    NL - Nizozemsko

  • Počet stran výsledku

    10

  • Strana od-do

    74-83

  • Kód UT WoS článku

    000377839500009

  • EID výsledku v databázi Scopus

    2-s2.0-84966501454