2018
DOI: 10.18280/ijht.360131
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Atmospheric sulfuric acid leaching thermodynamics from metallurgical zinc-bearing dust sludge

Abstract: In this paper, the influence of zinc and iron reaction in sulfuric acid leaching system, the influence of the parameters on the leaching of zinc sulfate and the reaction conditions for the subsequent leachate purification were systematically studied. It is suggested that the primary zinc and iron phases in metallurgical zinc-bearing dust sludge are ZnO, ZnS, ZnFe2O4, Fe, Fe2O3 and Fe3O4. In Zn-Fe-H2O system, as the concentrations of zinc and iron ions in solution increase, each component therein remains unchan… Show more

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Cited by 7 publications
(2 citation statements)
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“…The microbial densities corresponded poorly to the three working parameters, and differed significantly from those under normal conditions; the number of indicator microorganisms was basically consistent with the optimal values of our experimental parameters. In addition, the SV30 (Xu et al, 2013) and NLSS (Zhang et al, 2018) were both low in our experiment.…”
Section: Discussioncontrasting
confidence: 46%
“…The microbial densities corresponded poorly to the three working parameters, and differed significantly from those under normal conditions; the number of indicator microorganisms was basically consistent with the optimal values of our experimental parameters. In addition, the SV30 (Xu et al, 2013) and NLSS (Zhang et al, 2018) were both low in our experiment.…”
Section: Discussioncontrasting
confidence: 46%
“…At present, the methods for predicting the quality of atmospheric environment mainly include numerical prediction and statistical prediction. However, the model precision of numerical prediction is lower than that of statistical prediction and the scope of application is limited (Chien et al, 2007;Song, 2018;Cooper and Ekström, 2005;Reifman et al, 2000;Zhang et al, 2018b;Zhao et al, 2018). Therefore, this paper adopts the statistical prediction with easy data acquisition and high prediction precision, including the back propagation (BP) neural network and multiple linear regression equation for the analysis of atmospheric environment prediction.…”
Section: Introductionmentioning
confidence: 99%