Abstract

The paper presents the results of studies on the modeling and optimization of organic pollutant removal from an aqueous solution in the course of simultaneous adsorption onto activated carbons with varied physical characteristics and oxidation using H2O2. The methodology for determining the models used for predicting the sorption and catalytic parameters in the process was presented. The analysis of the influence of the sorption and catalytic parameters of activated carbons as well as the oxidizer dose on the removal dynamics of organic dyes-phenol red and crystal violet-was carried out based on the designated empirical models. The obtained results confirm the influence of specific surface area (S) of the activated carbon and oxidizer dose on the values of the reaction rate constants related to the removal of pollutants from the solution in a simultaneous process. It was observed that the lower the specific surface area of carbon (S), the greater the influence of the oxidizer on the removal of pollutants from the solution. The proposed model, used for optimization of parameters in a simultaneous process, enables to analyze the effect of selected sorbents as well as the type and dose of the applied oxidizer on the pollutant removal efficiency. The practical application of models will enable to optimize the selection of a sorbent and oxidizer used simultaneously for a given group of pollutants and thus reduce the process costs.

Highlights

  • The increasing population, environmental pollution and climate change effects, such as severe droughts, place a heavy burden on water resources

  • The and analyses in the assumed are the based on the results of laboratory tests related to sorption and(specific pollutant removal performed on the activated carbons withhalf-length-De diversified physical characteristics surface area-S, pore volume-V

  • The match is not as obvious for spent carbon F-200R, the coefficients of determination R2 are at a similar level in relation to both models; for phenol red, R2 is greater for the Langmuir model

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Summary

Introduction

The increasing population, environmental pollution and climate change effects, such as severe droughts, place a heavy burden on water resources. As indicated in previous studies [14], the efficiency of pollution removal in simultaneous adsorption and advanced oxidation processes is governed by a broad range of parameters, the most relevant of which include the sorption and catalytic properties of the adsorbent. These parameters largely determine the process efficiency as well as the possibility of applying a sorbent under specific conditions. The paper presented the methodology of creating the mathematical models for optimization of a simultaneous sorption process of activated carbon adsorption with chemical oxidation of pollutants from aqueous solutions via hydrogen peroxide, on the example of crystal violet and phenol red. The practical application of the devised models will enable to optimize the selection of the sorbent and the oxidizer used simultaneously for a given group of pollutants and will reduce the process costs of their removal from aqueous environment

Materials
Methodology of Laboratory Tests
RESEARCH METHODS USED IN LABORATORY TESTS
Identification of the Pollutant Removal
Multiple Linear Regression
Optimization of Pollutant Removal from the Solution
Visualization of Data with Multidimensional Scaling Method
Identification of the Sorption Process
Procedure
Analysis of Correlation between the Activated Carbon Characteristics
Adsorption onto Activated Carbons
Removal of Pollutants from Aqueous Solutions
Multidimensional

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