Mathematical modeling of sorption on novel sorbent materials

Adna Koš

Diplomová práce

Abstract:

The emission of metal ions in the environment has increased in recent times and since metal ions are not biodegradable, they belong to the cumulative toxins. Contamination of the environment with metal ions poses a serious danger to the entire ecosystem, agricultural production, quality of food and water, as well as to the health of humans and animals. This study investigates sorption as one of the processes which can be used for pollutants removal and efficiency of certain sorbent materials. Specifically, the focus is on the development and validation of non-linear Langmuir model and non-linear Freundlich model. Their application in the sorption experiment is examined by applying different error functions and statistical methods which are employed to calculate the error divergence between the observed and the predicted data of the sorbate-sorbent system. The presented non-linear sorption models are developed by using FORTRAN programming language, and data analysis is performed by using different tools and packages in R programming language. Many authors use linear sorption models in the way that they would linearize non-linear sorption models. It is evident that linear sorption models are used due to their simplicity in parameters estimation. This study shows that both non-linear Langmuir model and non-linear Freundlich model can be used for experimental data representation. The results also denote that the better estimation and better fit are given by Langmuir model due to statistical analysis and graphical representation itself. The choice of sorption model has a great influence on the prediction of solute transfer and great care should be taken in selection of convenient approach.

Keywords

Langmuir model, Freundlich model, Adsorption isotherms, Modeling of solute transport, Kinetic sorption, Equilibrium sorption

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 30. 3. 2021

Obhajoba závěrečné práce

• Vedoucí: doc. Ing. Michal Kuráž, Ph.D.

Česká zemědělská univerzita v Praze

Fakulta životního prostředí

Magisterský studijní program / obor:
Krajinné inženýrství / Environmental Modelling