| Issue |
MATEC Web Conf.
Volume 415, 2025
International Colloquium on Mechanical and Civil Engineering (ICMCE’2025)
|
|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 13 | |
| Section | Optimization and Management of Industrial Systems | |
| DOI | https://doi.org/10.1051/matecconf/202541504001 | |
| Published online | 27 October 2025 | |
Optimizing Coagulation-Flocculation Processes: Towards Enhanced Efficiency of Industrial Wastewater Treatment Stations
1 Civil, hydraulic and environmental engineering laboratory Mohammadia School of Engineers, Mohammed V University, Rabat, Morocco fat.ghizlane@gmail.com
2 Laboratory of Spectroscopy, Molecular Modelling, Materials, Nanomaterial, Water and Environment, CERNE2D, Mohammed V University, Rabat, Morocco
3 Science & Engineering Research Laboratory Faculty of Technical Sciences of Fez, Sidi Mohamed Ben Abdellah University, Fez, Morocco
Wastewater treatment facilities at business parks may be optimized with the Box–Behnken design as an experimental tool to define the best combination of parameters with the least experimental trials possible. Keywords: textile wastewater, coagulation-flocculation, heavy metals, optimization using Box– Behnken design, computer modeling, industrial wastewater infrastructure. This paper outlines our use of the design in the optimization of the coagulation-flocculation processes used for heavy metal removal. The study achieved removal efficiencies for arsenic (91.2%), lead (82%), selenium (76.8%), nickel (70%), chromium (56.7%), and cadmium (42%) with optimization of parameters of coagulant dose, flocculant dose, and pH. Optimization improves not only efficiencies then also reduces year to year consumables while optimizing such that the effluent continues to be environmentally acceptable at lower operating costs.
Key words: textile wastewater / coagulation flocculation / heavy metals / optimization using Box–Behnken design / Computer modeling
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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