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Spatial particle size distribution at intact sample surfaces of a Dystric Cambisol under forest use

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F22%3A00356336" target="_blank" >RIV/68407700:21110/22:00356336 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.2478/johh-2022-0003" target="_blank" >https://doi.org/10.2478/johh-2022-0003</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2478/johh-2022-0003" target="_blank" >10.2478/johh-2022-0003</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Spatial particle size distribution at intact sample surfaces of a Dystric Cambisol under forest use

  • Original language description

    The idea of the present study is to describe the spatially varying particle size distribution (PSD) along intact aggregate surfaces with the laser diffraction method (LDM) of four silty-loamy and OC enriched horizons of a Dystric Cambisol from the Uhlířská catchment (Czech Republic) with the laser diffraction method (LDM). Besides, the comparability of the LDM with the sieve and pipette method (SPM), the reproducibility, and the effect of pretreatment on the particle size distribution derived by LDM were analysed. The laser diffraction method enables rapid and continuous particle size distribution measurements with required sample amounts of 0.1–0.2 g for each measurement compared to 5–20 g for SPM. The LDM-derived PSD’s can be directly compared with the standardised SPM-derived PSD’s by using regression analysis with coefficients of determination (r(2)) between 0.83 and 0.93. Sample pretreatment following standardised proceedings indicates a better comparability between the particle size distributions of both methods. Besides, the highest coefficients of variation of up to 78.6 and therefore the lowest reproducibility were found for the unpretreated PSD of the AE and Bs horizon. Thus, limited evaluability and reproducibility of soil material enriched in organic carbon (OC), used in the current study, needs further analysis. For spatial analysis of PSD’s along intact surfaces of soil aggregates and profiles, spatial data interpolation by inverse distance weighting (IDW), kriging, and triangulated irregular networks (TIN) can be used for detailed measuring, mapping, and spatial extension of the sand, silt, and clay fractions at unsampled locations using a set of samples of known locations. The information offers the possibility of comparing and verifying data obtained by non-invasive midinfrared spectroscopy and Vis–NIR spectroscopy by spatial extension for given soil aggregates and profiles.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10501 - Hydrology

Result continuities

  • Project

    <a href="/en/project/GA20-00788S" target="_blank" >GA20-00788S: Underrepresented processes affecting the water balance of forest catchments in headwater areas of temperate zone</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

    Journal of Hydrology and Hydromechanics

  • ISSN

    0042-790X

  • e-ISSN

    1338-4333

  • Volume of the periodical

    70

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    12

  • Pages from-to

    30-41

  • UT code for WoS article

    000754367500003

  • EID of the result in the Scopus database

    2-s2.0-85125036465