Prediction of saturated hydraulic conductivity Ks of agricultural soil using pedotransfer functions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F23%3A96537" target="_blank" >RIV/60460709:41210/23:96537 - isvavai.cz</a>
Result on the web
<a href="https://swr.agriculturejournals.cz/pdfs/swr/2023/01/04.pdf" target="_blank" >https://swr.agriculturejournals.cz/pdfs/swr/2023/01/04.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17221/130/2022-SWR" target="_blank" >10.17221/130/2022-SWR</a>
Alternative languages
Result language
angličtina
Original language name
Prediction of saturated hydraulic conductivity Ks of agricultural soil using pedotransfer functions
Original language description
The determination of the saturated hydraulic conductivity Ks on a field scale presents a challenge in which several variables have to be considered. As there is no benchmark or reference method for the Ks determination, the suitability of each available method has to be evaluated. This study is aimed at the functional evaluation of three publicly available types of pedotransfer functions (PTFs) with different levels of utilised predictors. In total, ten PTF models were applied to the 56 data sets including the measured Ks value and the required predictors (% sand, silt and clay particles, dry bulk density, and organic matter/organic carbon content). A single agricultural field with a relatively homogenous particle size distribution was selected for the study to evaluate the ability of the PTF to reflect the variability of Ks. The correlation coefficient, coefficient of determination, mean error, and root mean square error were determined to evaluate the Ks prediction quality. The results showed a high variability in Ks within the field; the measured Ks values ranged between 10 and 1261 cm/day. Although the tested PTF models are based on a robust background of soil databases, they could not provide estimates with satisfactory accuracy unless local soil data were incorporated into the PTF development.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40104 - Soil science
Result continuities
Project
<a href="/en/project/QK1910086" target="_blank" >QK1910086: Controlled drainage (CD) as an effective approach for decreasing diffuse pollution sources from tile-drained agricultural watersheds</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Soil and Water Research
ISSN
1801-5395
e-ISSN
1801-5395
Volume of the periodical
18
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
7
Pages from-to
25-32
UT code for WoS article
000924361900001
EID of the result in the Scopus database
2-s2.0-85159149711