PREDICTING THE SATURATED HYDRAULIC CONDUCTIVITY OF AGRICULTURAL SOIL BY PEDOTRANSFER FUNCTIONS OF DIFFERENT PRINCIPLE

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F23%3A96614" target="_blank" >RIV/60460709:41210/23:96614 - isvavai.cz</a>

Výsledek na webu

<a href="http://147.213.100.3:81/uhconference2023/Program.htm" target="_blank" >http://147.213.100.3:81/uhconference2023/Program.htm</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

PREDICTING THE SATURATED HYDRAULIC CONDUCTIVITY OF AGRICULTURAL SOIL BY PEDOTRANSFER FUNCTIONS OF DIFFERENT PRINCIPLE

Popis výsledku v původním jazyce

The purpose of this study is to evaluate functionality of three publicly available types of PTF based on different estimation principles and different levels of predictors. In total, ten models of PTF have been applied to the 56 data sets containing essential information of measured Ks value and necessary predictors. The ability of the PTF to reflect the variability of Ks of an agricultural field with relatively homogeneous particle size distribution has been evaluated by means of the correlation coefficient, coefficient of determination, mean error and root mean square error (RMSE). The tested PTF were ranked according to the RMSE values; the best ranking (1) was attributed to the PTF with the smallest RMSE. All statistical evaluation was carried out for log-transformed Ks data

Název v anglickém jazyce

PREDICTING THE SATURATED HYDRAULIC CONDUCTIVITY OF AGRICULTURAL SOIL BY PEDOTRANSFER FUNCTIONS OF DIFFERENT PRINCIPLE

Popis výsledku anglicky

The purpose of this study is to evaluate functionality of three publicly available types of PTF based on different estimation principles and different levels of predictors. In total, ten models of PTF have been applied to the 56 data sets containing essential information of measured Ks value and necessary predictors. The ability of the PTF to reflect the variability of Ks of an agricultural field with relatively homogeneous particle size distribution has been evaluated by means of the correlation coefficient, coefficient of determination, mean error and root mean square error (RMSE). The tested PTF were ranked according to the RMSE values; the best ranking (1) was attributed to the PTF with the smallest RMSE. All statistical evaluation was carried out for log-transformed Ks data

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10501 - Hydrology

Projekt

<a href="/cs/project/QK1910086" target="_blank" >QK1910086: Snižování zátěže povrchových vod zdroji plošného zemědělského znečištění při uplatnění regulace drenážního odtoku na stávajících stavbách zemědělského odvodnění</a><br>

Návaznosti

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

Rok uplatnění

2023

Kód důvěrnosti údajů

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