Predictive Modeling of Zinc Fractions in Zinc Chloride-Contaminated Soils Using Soil Properties
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F25%3A43927426" target="_blank" >RIV/62156489:43210/25:43927426 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.3390/land14091825" target="_blank" >https://doi.org/10.3390/land14091825</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/land14091825" target="_blank" >10.3390/land14091825</a>
Alternative languages
Result language
angličtina
Original language name
Predictive Modeling of Zinc Fractions in Zinc Chloride-Contaminated Soils Using Soil Properties
Original language description
The combined effects of soil properties, zinc (Zn), and chloride ion (Cl−) concentrations on Zn distribution across soil fractions are poorly understood, even though zinc chloride (ZnCl2) contamination in industrial soils is a major source of mobile Zn and poses significant environmental risks. This study aimed to (1) assess how the soil type, physicochemical properties, and Zn concentration affect Zn distribution in Community Bureau of Reference (BCR)-extracted fractions; (2) evaluate the impact of Cl− on Zn mobility; and (3) develop predictive models for mobile and stable Zn fractions based on soil characteristics. Zn mobility was analyzed in 18 soils differing in Zn and Cl−, pH, specific surface area (SSA), organic matter (OM), and texture (sand, silt, clay (CLY)), using a modified BCR method. Zn fractions were measured by atomic absorption spectroscopy (AAS). Analysis of Covariance was used to assess Zn distribution across soil types, while Zn fractions were modeled using non-linear regression (NLR). The results showed that mobile Zn increased with the total Zn, and that the soil type and Zn levels influenced Zn distribution in soils contaminated with ZnCl2 (Zn 304–2136 mg·kg−1 d.m.; Cl− 567–2552 mg·kg−1; pH 3.5–7.5; CLY 11–22%; SSA 96–196 m2·g−1; OM 0–4.8%). Although Cl− enhanced Zn mobility, its effect was weaker than that of Zn. Predictive models based on the total Zn, SSA, and CLY accurately estimated Zn in mobile and stable fractions (R > 0.92), whereas the effects of the pH and OM, although noticeable, were not statistically significant.
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
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Land
ISSN
2073-445X
e-ISSN
2073-445X
Volume of the periodical
14
Issue of the periodical within the volume
9
Country of publishing house
CH - SWITZERLAND
Number of pages
22
Pages from-to
1825
UT code for WoS article
001582255100001
EID of the result in the Scopus database
2-s2.0-105017309085