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  • РЕАКТИВАЦИЯ СОРБЕНТА (ГРАНУЛИРОВАННОГО АКТИВИРОВАННОГО УГЛЯ) ДВУХСЛОЙНЫХ СКОРЫХ ФИЛЬТРОВ ДЛЯ ОПТИМИЗАЦИИ КАЧЕСТВА ПИТЬЕВОГО ВОДОСНАБЖЕНИЯ
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Subject
News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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РЕАКТИВАЦИЯ СОРБЕНТА (ГРАНУЛИРОВАННОГО АКТИВИРОВАННОГО УГЛЯ) ДВУХСЛОЙНЫХ СКОРЫХ ФИЛЬТРОВ ДЛЯ ОПТИМИЗАЦИИ КАЧЕСТВА ПИТЬЕВОГО ВОДОСНАБЖЕНИЯ

Вода и экология: проблемы и решения. 2021. № 1(85). С. 3–8.
Портнова Т. М., Витковская Р. Ф., Дрегуло А. М., Кудрявцев А. В., Родионов В. З., Проценко О. В., Фуртатова А. С.

Water supply organizations are currently in need of innovative solutions and technologies based on the concept of the closed-loop resource cycle. The need for sustainable use of resources serves as the basis for changing the existing approach where worn-out resources are considered wastes. Materials and methods. In this paper, we show that it is expedient to restore the sorption properties of granulated activated carbon (GAC) by its reactivation and reuse in closed-loop recycling. We also present methods to study GAC properties and technology of reactivation. Results and discussion. Based on the results of the GAC samples’ analysis, it was found that, during reactivation, the mass content of each fraction changes with a strongly pronounced decrease in the content of large granules with a size of 1.18–2.00 mm and an increase in the content of small granules with a size of 0.60–1.00 mm. Besides, the apparent density of the sorption material changes and the volume of carbon that underwent two reactivations falls below 75%. Conclusion. GAC reactivation in dual-media rapid filters allows us to optimize not only the operating and financial expenses of the company but also those natural resources that would have been spent for the production of new carbon

Research target: Effective Natural Resource Management Chemical Technologies
Language: Russian
DOI
Text on another site
Keywords: водоснабжениерециклинг отходовреактивация сорбентагранулированный активированный уголь
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