A comparison of measured and estimated saturated hydraulic conductivity of various soils in the Czech Republic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F22%3A91264" target="_blank" >RIV/60460709:41210/22:91264 - isvavai.cz</a>
Result on the web
<a href="https://www.agriculturejournals.cz/web/pse.htm?type=article&id=123_2022-PSE" target="_blank" >https://www.agriculturejournals.cz/web/pse.htm?type=article&id=123_2022-PSE</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17221/123/2022-PSE" target="_blank" >10.17221/123/2022-PSE</a>
Alternative languages
Result language
angličtina
Original language name
A comparison of measured and estimated saturated hydraulic conductivity of various soils in the Czech Republic
Original language description
The study aims to indirectly determine the saturated hydraulic conductivity, Ks. The applicability of recently published pedotransfer functions based on a machine learning approach has been tested, and their performance has been compared with well known hierarchical pedotransfer functions utilised in the computer software Rosetta for 126 soil data sets in the Czech Republic. The quality of estimates has been statistically evaluated in comparison with the measured Ks values. The root mean squared error, the mean error and the coefficient of determination were considered. The eight tested models of pedotransfer functions were ranked according to the RMSE values. Generally, the models based on Random Forest performed better than those based on Boosted Regression Trees. However, the best estimates were obtained by Neural Network analysis PTFs in Rosetta, which scored for four best rankings out of five.
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)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Plant, Soil and Environment
ISSN
1214-1178
e-ISSN
1214-1178
Volume of the periodical
68
Issue of the periodical within the volume
7
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
9
Pages from-to
338-346
UT code for WoS article
000831133800004
EID of the result in the Scopus database
2-s2.0-85134839084