Treatment of wastewater from mining industrial enterprises from phenols

One of the important problems faced by mining enterprises is the contamination of wastewater with phenols. The article discusses the adsorption purification method and uses sludge as a sorption material. The sorption properties of chemical water treatment sludge have been studied. Sorption materials were obtained, including powdered and granular versions. The technological characteristics of the powder material are determined and the mechanism of phenol adsorption is detailed. An analysis of the economic and operational efficiency of the proposed scheme was carried out. The possibility of disposal of cleaning products has been considered. The work shows that this is a sequential step process consisting of several operations. The result of this process is granular modified carbonate slurry. This carbonate sludge is suitable as an energy resource for hot water boilers and their analogues. It is shown that molecules penetrating into the pores of the sorbent have an activation energy, the value of which is determined graphically by solving the Arrhenius equation. The hazard class of waste treatment has been determined and the possibility of reducing the technogenic load on environmental ecosystems by involving used sludge in the water treatment process with subsequent combustion has been shown.

Panfilova T. A., Kukartsev V. A., Tynchenko V. S. Mikhalev A. S., Xiaogang Wu. Treatment of wastewater from mining industrial enterprises from phenols. MIAB. Mining Inf. Anal. Bull. 2024;(7-1):72-82. [In Russ]. DOI: 10.25018/0236_1493_2024_71_0_72.

T.A. Panfilova¹, Cand. Sci. (Eng.), Assistant Professor, School of Petroleum and Natural Gas Engineering; Bauman Moscow State Technical University, 105005, Moscow, Russia, e-mail: t_pan80@mail.ru, ORCID ID: 0009-0003-9537-8128,
V.A. Kukartsev¹, Cand. Sci. (Eng.), Assistant Professor, Polytechnical Institute,
V.S. Tynchenko¹, Cand. Sci. (Eng.), Assistant Professor, School of Petroleum and Natural Gas Engineering; Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005, Moscow, Russia; Institute of Computer Science and Telecommunications, Reshetnev Siberian State University of Science and Technology, 660037, Krasnoyarsk, Russia, e-mail: vadimond@mail.ru,
A.S. Mikhalev¹, Senior Lecturer, Institute of Space and Information Technologies; Artificial Intelligence Center, e-mail: asmikhalev@sfu-kras.ru,
Xiaogang Wu, School of Electrical Engineering, Hebei University of Technology, Tianjin, 300401, China, e-mail: xgwu@hrbust.edu.cn, ORCID ID: 0000-0002-1830-0437,
¹ Siberian Federal University, 660041, Krasnoyarsk, Russia.

V.S. Tynchenko, e-mail: vadimond@mail.ru.

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