Forecasting optimal work process parameters of biological wastewater treatment based on numerical modeling
Автор: Balymova E.S., Novikova A.R., Zakirov R.K., Akhmadullina F.Yu.
Журнал: Известия Самарского научного центра Российской академии наук @izvestiya-ssc
Рубрика: Экология - технические науки
Статья в выпуске: 1 т.27, 2025 года.
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The article discusses the issues of digital transformation and implementation of breakthrough technologies in the field of water disposal and biological treatment of wastewater in petrochemical production. In conditions of instability in the composition and flow rate of wastewater, high concentrations of toxic substances in industrial effluents, modeling the biotreatment process and implementing algorithms to support decision-making on wastewater discharge to biological treatment facilities is becoming a key area for ensuring the sustainable development of urbanized areas and environmental protection. The article presents the results of forecasting the optimal parameters of biological wastewater treatment at an operating biostation of a petrochemical enterprise in the Republic of Tatarstan, which will help make informed decisions by treatment facility operators regarding the possibility of accepting wastewater for treatment, the conditions for their treatment and forecasting the effectiveness of biological treatment processes. The research methodology includes laboratory modeling of biological wastewater treatment processes using samples of activated sludge and wastewater from an operating biostation of a petrochemical enterprise. Based on the experimental data, an analysis of the influence of toxicants (benzene, toluene, styrene, phenol, ethylbenzene, formaldehyde) on the efficiency of purification and the physicochemical and biochemical properties of activated sludge, as well as indicators of general pollution and toxicity of wastewater, was carried out. The results of the study allow not only to increase the accuracy of forecasting, but also to optimize work processes at treatment facilities, which will undoubtedly increase the efficiency of purification of highly concentrated toxic wastewater. The proposed solution - the optimal mathematical model «random forest», adequately describing the process of biological purification of wastewater of the petrochemical complex, contributes to the sustainable development and safe operation of petrochemical industries. The conducted studies are aimed at environmental improvement of the region and municipalities, reducing the technosphere load caused by the negative impact of the discharge of insufficiently purified wastewater into natural water receivers.
Activated sludge, wastewater, biological treatment, machine learning, toxicants, hydrobiological indices, mathematical model, random forest
Короткий адрес: https://sciup.org/148330936
IDR: 148330936 | DOI: 10.37313/1990-5378-2025-27-1-166-175