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Comparison of multivariate methods for arsenic estimation and mapping in floodplain soil via portable X-ray fluorescence spectroscopy

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F21%3A82486" target="_blank" >RIV/60460709:41210/21:82486 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0016706120325477?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0016706120325477?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.geoderma.2020.114792" target="_blank" >10.1016/j.geoderma.2020.114792</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of multivariate methods for arsenic estimation and mapping in floodplain soil via portable X-ray fluorescence spectroscopy

  • Original language description

    Rapid, inexpensive, and equally reliable estimates of potentially toxic elements are a necessity, portable X ray fluorescence (pXRF) spectrometry is a handy tool to help achieve such. The current study sought to compare multiple linear regression with three regularized regression models Ridge, Lasso, and ElasticNet ENET for the estimation of total arsenic As using pXRF datasets in polluted temperate floodplain soils of Příbram, Czech Republic. A total of 158 (0-25 cm) floodplain surface soil samples were collected from a specific site in Příbram. Models were evaluated separately and compared based on mean absolute error (MAE), root mean squared error (RMSE) and the coefficient of determination (R2). All four models were able to predict As with good accuracy (MAE and RMSE values of 0,02 and 0,03, respectively, and R2 values ranging from 0,94 to 0,95). As measured via pXRF as well as predicted via the four regression models produced similar spatial variability as shown by the standard laboratory-measur

  • 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

    40104 - Soil science

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Geoderma

  • ISSN

    0016-7061

  • e-ISSN

    1872-6259

  • Volume of the periodical

    384

  • Issue of the periodical within the volume

    feb

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    13

  • Pages from-to

    0-0

  • UT code for WoS article

    000594244300004

  • EID of the result in the Scopus database

    2-s2.0-85096657235