Publikacje

Abstract:

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.

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