Predictive Modeling of Zinc Fractions in Zinc Chloride-Contaminated Soils Using Soil Properties

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Predictive Modeling of Zinc Fractions in Zinc Chloride-Contaminated Soils Using Soil Properties

Popis výsledku v původním jazyce

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 &gt; 0.92), whereas the effects of the pH and OM, although noticeable, were not statistically significant.

Název v anglickém jazyce

Predictive Modeling of Zinc Fractions in Zinc Chloride-Contaminated Soils Using Soil Properties

Popis výsledku anglicky

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 &gt; 0.92), whereas the effects of the pH and OM, although noticeable, were not statistically significant.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40104 - Soil science

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Land

ISSN

2073-445X

e-ISSN

2073-445X

Svazek periodika

14

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

22

Strana od-do

1825

Kód UT WoS článku

001582255100001

EID výsledku v databázi Scopus

2-s2.0-105017309085