Spatial modelling and quantification of soil potentially toxic elements based on variability in sample size

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F24%3A101026" target="_blank" >RIV/60460709:41210/24:101026 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1007/s13762-023-05214-y" target="_blank" >https://doi.org/10.1007/s13762-023-05214-y</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s13762-023-05214-y" target="_blank" >10.1007/s13762-023-05214-y</a>

Result language

angličtina

Original language name

Spatial modelling and quantification of soil potentially toxic elements based on variability in sample size

Original language description

This study applied ordinary kriging (OK), geographically weighted regression (GWR), and positive matrix factorization to model soil Cu and Mn in the FrATIN SMALL LETTER Y WITH ACUTEdek Mistek district based on different sample sizes, topography, and land use. OK maps were validated using mean error, while the GWR maps used digital elevation model (DEM) as a covariate. The elements and their different sample sizes revealed high heterogeneous/variability. Cu and Mn showed similar strong, moderate, and weak spatial dependence between the various samples (ratios ranged from 0.00 to 0.99%). The OK interpolation revealed the highest PTE concentration levels (i.e. hotspots) in the north-eastern parts of the study district. The GWR coefficients for both Cu and Mn indicated a positive correlation between DEM and the PTEs towards the south-eastern parts. In addition to the sample sizes, land use and elevation to a large extent determined the distribution, variability, and concentrations of Cu and Mn. All the sample sizes showed the highest concentrations of the PTEs in the lowlands below 500 m where the industrial, commercial, and the arable activities dominated in contrast to the highlands (above 500 m) where forests were dominant. This study will benefit future researchers in selecting appropriate prediction models to enhance the achievement of accurate prediction of PTE contents and spatial distribution in soils. It will also support the land-use planners in identifying the land-use types that are associated with higher concentrations of the PTEs, thus proffering a sustainable solution.

Czech name

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Czech description

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Type

J_imp - 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

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

Publication year

2024

Confidentiality

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

Name of the periodical

International Journal of Environmental Science and Technology

ISSN

1735-1472

e-ISSN

1735-2630

Volume of the periodical

21

Issue of the periodical within the volume

neuvedeno

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

20

Pages from-to

3567-3586

UT code for WoS article

001068838300001

EID of the result in the Scopus database

2-s2.0-85171985207