Proceedings of the International Conference on Current Problems in Engineering and Applied Sciences (ICCPEAS 2025)

Modeling and Optimization of the Process of Separation of Heavy Metal Ions from Wastewater Aimed at Protecting the Ecosystem in Non-Stationary Conditions

Authors
Fakhraddin Vali Yusubov1, *, Aysel Asif Rzayeva2
1Azerbaijan Technical University, AZ1073, Baku, Azerbaijan
2Baku Higher Oil School, AZ 1025, Baku, Azerbaijan
*Corresponding author. Email: yusubov.faxraddin@aztu.edu.az
Corresponding Author
Fakhraddin Vali Yusubov
Available Online 14 May 2026.
DOI
10.2991/978-94-6239-668-5_72How to use a DOI?
Keywords
Ecosystem; Heavy Metals; Adsorption; Mathematical Modeling; Wastewater Treatment; Optimization; Sustainable Development
Abstract

Pollution of wastewater from the fuel and energy complex, petrochemical and metallurgical industries with heavy metals is one of the urgent environmental problems of modern industry. Arsenic, copper zinc, etc. its ions are highly toxic, accumulate in bottom sediments and disrupt biosphere processes. Developing effective wastewater treatment technologies is a priority within the framework of sustainable development. Heavy metals (As, Pb, Cu, Zn) with water pollution pose a serious threat to ecosystems and human health. The adsorption process is one of the widely applied engineering methods for the efficient and environmentally safe removal of these pollutants. The effective sorption conditions of heavy metal ions were determined using natural and modified adsorbents, following that continuous optimization of the process was carried out. The effect of initial metal concentration, pH, adsorbent dose and contact time on adsorption efficiency has been studied. The optimal conditions of the technological process have been determined by means of mathematical modeling. The results showed that under optimal conditions (pH = 6.7, dose = 1.8 g/L, contact time = 120 min), the adsorption efficiency was higher than 96%. The process obeys the pseudo-secondary kinetic model and aligns well with the Langmuir isotherm, indicating monomolecular absorption. The results of the study allow preventing the pollution of the ecosystem with the heavy metals, as well as formulating sustainable engineering approaches for environmentally safe treatment of industrial wastewater. The developed model can be applied in designing environmentally friendly adsorber systems.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Current Problems in Engineering and Applied Sciences (ICCPEAS 2025)
Series
Advances in Engineering Research
Publication Date
14 May 2026
ISBN
978-94-6239-668-5
ISSN
2352-5401
DOI
10.2991/978-94-6239-668-5_72How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Fakhraddin Vali Yusubov
AU  - Aysel Asif Rzayeva
PY  - 2026
DA  - 2026/05/14
TI  - Modeling and Optimization of the Process of Separation of Heavy Metal Ions from Wastewater Aimed at Protecting the Ecosystem in Non-Stationary Conditions
BT  - Proceedings of the International Conference on Current Problems in Engineering and Applied Sciences (ICCPEAS 2025)
PB  - Atlantis Press
SP  - 699
EP  - 707
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-668-5_72
DO  - 10.2991/978-94-6239-668-5_72
ID  - Yusubov2026
ER  -