The use of a regression model in the variability analysis of the leachate quality from heaps of the production of the building materials

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Abstract

An attempt to evaluate potential hazard for quality of manufactured construction elements and concrete in case of use of leachate as technological water was made in this paper. This may lead to negative impact on strength parameters of the product made in the analysed company. Raw industrial leachate must not be discharged into sewerage system due to increased concentrations of some mineral components; it must be initially purified. Selected elements of multiple regression module and principal components analysis were used to describe the above phenomena. The model we have developed uses selected significant parameters of pollutants contained in leachate from a process industrial waste heap. The model takes into account leachate conductivity and sulphate ions, in which increased lead compounds concentration was determined. The model was verified during its use. The variables used in the model explain the significant percentage of variability noted for the dependent variable.

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Szymański, K., Walendzik, B., Janowska, B., & Sidełko, R. (2022). The use of a regression model in the variability analysis of the leachate quality from heaps of the production of the building materials. Applied Water Science, 12(5). https://doi.org/10.1007/s13201-022-01639-x

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