Prediction of the concentration of antimony in agricultural soil using data fusion, terrain attributes combined with regression kriging
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F23%3A92003" target="_blank" >RIV/60460709:41210/23:92003 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S026974912201911X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S026974912201911X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.envpol.2022.120697" target="_blank" >10.1016/j.envpol.2022.120697</a>
Alternative languages
Result language
angličtina
Original language name
Prediction of the concentration of antimony in agricultural soil using data fusion, terrain attributes combined with regression kriging
Original language description
Potentially toxic elements in agricultural soils are primarily derived from anthropogenic and geogenic sources. This study aims to predict and map antimony Sb concentration in soil using multiple regression kriging in two distinct modeling approaches, namely Sb prediction using data fusion coupled with regression kriging scenario 1 and Sb prediction using data fusion, terrain attributes, and regression kriging scenario 2. Cubist regression kriging, conditional inference forest regression kriging, extreme gradient boosting regression kriging and random forest regression kriging were the modeling techniques used in the estimation of Sb concentration in agricultural soil.
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
<a href="/en/project/EF16_019%2F0000845" target="_blank" >EF16_019/0000845: Centre for investigation of synthesis and transformation of nutritional substances in the food chain in interaction with potentially harmful substances of athropogenic origin: assessment of contamination risks for the quality of production</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Environmental Pollution
ISSN
0269-7491
e-ISSN
0269-7491
Volume of the periodical
316
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
12
Pages from-to
—
UT code for WoS article
000904720000006
EID of the result in the Scopus database
2-s2.0-85142357919