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An assessment of pH-dependent release and mobility of heavy metals from metallurgical slag

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Król, Anna, Mizerna, Kamila, Bożym, Marta·2020·Journal of Hazardous Materials

Abstract

The paper presents the results obtained in pHstat leaching test and assesses the influence of pH changes and occurring processes on the release of heavy metals (Cd, Ni, Crtotal, Pb, Cu and Zn) from metallurgical slag in a zinc smelter. Additionally, the analysis of the potential maximum amount of element available for leaching and releasing in the batch leaching test was carried out. All the results of the leaching tests were compared with the total content of heavy metals in the material. In order to evaluate the chemical forms of elements, a sequential extraction study was also carried out. On the basis of test results obtained in pHstat test, a strong dependence of heavy metals leaching on the pH was found. The highest concentrations of the analysed elements were observed in acidic environment. For most metals, except for lead, an increase in the pH of the solution caused a decrease in their concentration. Lead showed an upward trend of release under alkaline conditions. A sharp increase of copper leaching at pH 10.5 was also observed. Based on the results of the study, cadmium can be considered the most mobile element from metallurgical slag. Chromium indicated the lowest degree of release.

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Metadata

Authors
Król, A., Mizerna, K., & Bożym, M.
Venue
Journal of Hazardous Materials
Publisher
Elsevier BV
Published
2020-02
Volume
384
Pages
121502
ISSN
0304-3894 (ISSN-L)
OpenAlex
W2981470681
Cited by
469
References
9
FWCI
9.48
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: An assessment of pH-dependent release and mobility of heavy metals from metallurgical slag. https://app.cochat.ai/papers/10.1016/j.jhazmat.2019.121502
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Król, A., Mizerna, K., & Bożym, M. (2020). An assessment of pH-dependent release and mobility of heavy metals from metallurgical slag. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2019.121502

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.