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Using magnetic susceptibility mapping for assessing soil degradation due to water erosion

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985530%3A_____%2F16%3A00458600" target="_blank" >RIV/67985530:_____/16:00458600 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/60460709:41210/16:70284

  • Výsledek na webu

    <a href="http://dx.doi.org/10.17221/233/2015-SWR" target="_blank" >http://dx.doi.org/10.17221/233/2015-SWR</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.17221/233/2015-SWR" target="_blank" >10.17221/233/2015-SWR</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Using magnetic susceptibility mapping for assessing soil degradation due to water erosion

  • Popis výsledku v původním jazyce

    This study focused on developing a method for estimating topsoil organic carbon content from measured mass-specific magnetic susceptibility in Chernozems heavily affected by water erosion. The study was performed on a 100 ha area, whereby 202 soil samples were taken. A set of soil samples was divided into 3 subsets: A (32 samples), B (67 samples), and C (103 samples). The mass-specific magnetic susceptibility using low and high frequency, and organic carbon content were measured at all soil samples. The contents of iron and manganese, extracted with a dithionite-citrate solution (Fed, Mnd) and ammonium oxalate (Feo, Mno), were quantified in A and B samples. Models for predicting organic carbon content from magnetic susceptibilities were designed as follows: (1) subset A was used as the training set for calibration, and subsets B and C were used as the test sets for model validation, either separately (subset B only), or together (merged subsets B and C); (2) merged subsets A and B were used as the training set and subset C was used as the test set. Results showed very close correlations between organic carbon content and all measured soil properties. Obtained models relating organic carbon content to mass-specific magnetic susceptibility successfully predicted soil organic carbon contents.

  • Název v anglickém jazyce

    Using magnetic susceptibility mapping for assessing soil degradation due to water erosion

  • Popis výsledku anglicky

    This study focused on developing a method for estimating topsoil organic carbon content from measured mass-specific magnetic susceptibility in Chernozems heavily affected by water erosion. The study was performed on a 100 ha area, whereby 202 soil samples were taken. A set of soil samples was divided into 3 subsets: A (32 samples), B (67 samples), and C (103 samples). The mass-specific magnetic susceptibility using low and high frequency, and organic carbon content were measured at all soil samples. The contents of iron and manganese, extracted with a dithionite-citrate solution (Fed, Mnd) and ammonium oxalate (Feo, Mno), were quantified in A and B samples. Models for predicting organic carbon content from magnetic susceptibilities were designed as follows: (1) subset A was used as the training set for calibration, and subsets B and C were used as the test sets for model validation, either separately (subset B only), or together (merged subsets B and C); (2) merged subsets A and B were used as the training set and subset C was used as the test set. Results showed very close correlations between organic carbon content and all measured soil properties. Obtained models relating organic carbon content to mass-specific magnetic susceptibility successfully predicted soil organic carbon contents.

Klasifikace

  • Druh

    J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

  • CEP obor

    DE - Zemský magnetismus, geodesie, geografie

  • OECD FORD obor

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/QJ1230319" target="_blank" >QJ1230319: Vodní režim půd na svažitém zemědělsky využívaném území</a><br>

  • 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

    Soil & Water Research

  • ISSN

    1801-5395

  • e-ISSN

  • Svazek periodika

    11

  • Číslo periodika v rámci svazku

    2

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    9

  • Strana od-do

    105-113

  • Kód UT WoS článku

    000376055300005

  • EID výsledku v databázi Scopus

    2-s2.0-84964319029