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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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