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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40104 - Soil science

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

International Journal of Environmental Science and Technology

ISSN

1735-1472

e-ISSN

1735-2630

Svazek periodika

21

Číslo periodika v rámci svazku

neuvedeno

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

20

Strana od-do

3567-3586

Kód UT WoS článku

001068838300001

EID výsledku v databázi Scopus

2-s2.0-85171985207