Application of k-Nearest code to the improvement of class pedotransfer functions and countrywide Field Capacity and Wilting Point maps

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F14%3A64727" target="_blank" >RIV/60460709:41210/14:64727 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Application of k-Nearest code to the improvement of class pedotransfer functions and countrywide Field Capacity and Wilting Point maps

Popis výsledku v původním jazyce

The database of soil hydrophysical properties in the Czech Republic HYPRESCZ which contains the data needed for derivation of pedotransfer functions for soil water retention curves, was used for the estimation of field capacity and wilting point of agricultural land resource on a countrywide scale. The results were combined with the existing Soil Texture Map of the Czech Republic to provide four new maps, namely, the Map of Field Capacity and the Map of Wilting Point for the topsoil and subsoil separately. From the total number of 1048 relevant database entries, only about a half included reliable wilting point data. The k-Nearest code employing the k-nearest neighbour technique was used for estimation of the missing wilting points, which made it possible to use all entries. The estimation uncertainty was assessed in terms of standard deviations and root mean square error. Finally, two sets of class pedotransfer functions were derived and found sufficiently comparable: i) the functions

Název v anglickém jazyce

Application of k-Nearest code to the improvement of class pedotransfer functions and countrywide Field Capacity and Wilting Point maps

Popis výsledku anglicky

The database of soil hydrophysical properties in the Czech Republic HYPRESCZ which contains the data needed for derivation of pedotransfer functions for soil water retention curves, was used for the estimation of field capacity and wilting point of agricultural land resource on a countrywide scale. The results were combined with the existing Soil Texture Map of the Czech Republic to provide four new maps, namely, the Map of Field Capacity and the Map of Wilting Point for the topsoil and subsoil separately. From the total number of 1048 relevant database entries, only about a half included reliable wilting point data. The k-Nearest code employing the k-nearest neighbour technique was used for estimation of the missing wilting points, which made it possible to use all entries. The estimation uncertainty was assessed in terms of standard deviations and root mean square error. Finally, two sets of class pedotransfer functions were derived and found sufficiently comparable: i) the functions

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DF - Pedologie

OECD FORD obor

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Projekt

<a href="/cs/project/1G58095" target="_blank" >1G58095: Předpovědní půdně-agrohydrologické modely retence vody v půdě v ČR a jejich integrace do databází zemí EU</a><br>

Návaznosti

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

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

Soil and Water Research

ISSN

1801-5395

e-ISSN

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Svazek periodika

9

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

1-8

Kód UT WoS článku

000331684400001

EID výsledku v databázi Scopus

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