Modeling of zinc solubility in stabilized/solidified electric arc furnace dust

Fernández-Olmo, Ignacio; Lasa, Cristina; Irabien, Ángel

doi:10.1016/j.jhazmat.2007.01.102

Cited by 23 publications

(11 citation statements)

References 18 publications

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“…However, the TCLP test has come to unfavourable criticism because of its limitations for simulating different disposal conditions of the waste [16]. On the other hand, little information is available on modelling of the release of heavy metals from magnesium potassium phosphate cements, even though the release of heavy metals from Portland cement has been widely modelled [16,17].…”

Section: Introductionmentioning

confidence: 99%

Leaching behaviour of magnesium phosphate cements containing high quantities of heavy metals

Buj

Torras

Rovira

et al. 2010

Journal of Hazardous Materials

159

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Section: Introductionmentioning

confidence: 99%

Leaching behaviour of magnesium phosphate cements containing high quantities of heavy metals

Buj

Torras

Rovira

et al. 2010

Journal of Hazardous Materials

159

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“…The maximum amount of dissolved chromium in the acidic region was below 7% of total chromium. Visual MINTEQ (v. 2.31) was used in our previous work to simulate the solubility of Zn with pH in untreated EAFD (Fernández-Olmo et al, 2007). Zincite (ZnO) and amorphous and crystalline Zn(OH) 2 solubility data were contained in the database; however, zinc ferrite was not included in the database; thus, zincite and Zn(OH) 2 were considered as the main Zn solid species.…”

Section: Leaching Of Zinc Lead and Chromiummentioning

confidence: 99%

“…A different modeling approach is reported by Irabien et al (2002): the concentration of cadmium, chromium, and lead in TCLP leachates obtained from stabilized/solidified EAFD was predicted using neural network modeling. Fernández-Olmo et al (2007) studied the solubilization of Zn from EAFD using a geochemical model (Visual MINTEQ v. 2.31) and an empirical model.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Amphoteric Heavy Metals Solubility in Stabilized/Solidified Steel Foundry Dust

Fernández-Olmo

Lasa

Lavín

et al. 2009

Environmental Engineering Science

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The influence of pH on the leaching of metals from waste materials can be described by geochemical and empirical models. These equations may be integrated into dynamic leaching models in order to describe the longterm behavior of waste-derived forms or they can be used to predict the concentration of metals in equilibrium leaching tests at a given pH. The aim of this work is to describe the equilibrium concentration of the main metals (Zn, Pb, and Cr) contained in untreated and stabilized/solidified (S/S) electric arc furnace dust (EAFD) using experimental data obtained from a pH-dependence leaching test (acid neutralization capacity, ANC). EAFD is a hazardous waste generated in steel factories. Steel foundry dust coming from an electric arc furnace was characterized by acid digestion, x-ray fluorescence (XRF), and x-ray diffraction (XRD). The waste mainly contains Zn and Fe, which were identified in zincite and zinc ferrite phases. Pb and Cr were also detected at lower concentrations. Cement/EAFD formulations ranging from 7 to 20% dry wt of cement were prepared and the ANC leaching test was performed. The amphoteric behavior of Zn, Pb, and Cr was described by the geochemical model Visual MINTEQ and by an empirical model developed for these metals. Zinc and lead solubilities were well described by both models; however, Visual MINTEQ failed to describe the chromium behavior quantitatively.

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“…In literature, there are still very few studies dealing with long-term leaching tests; in particular, most of the works tend to predict the behavior of leaching using mathematical models [19,20] or accelerated tests [14]. Also, a large part of the studies published, concerning long-term leaching tests, treats non-organic wastes; thus, we investigated the behavior of a model organic pollutant under an actual long-term leaching test (497 days).…”

Section: Introductionmentioning

confidence: 99%