Abstract
For the quantitative control of the filamentous index in biological treatment facilities, a computerized methodology has been developed within the presented study. Its use enhances the reliability and techno-genic safety of operating biological treatment facilities. Problems related to filamentous microorganisms, which can hinder effective wastewater treatment, are considered. Sludge bulking occurs when the intensive growth of these microorganisms complicates the separation of activated sludge from treated wastewater, leading to various operational issues. The study emphasizes the importance of microscopic analysis in identifying and addressing problems associated with filamentous organisms. The use of microscopic analysis as a crucial tool for managing activated sludge issues is discussed. The classification system developed by D. Eikelboom, which identifies 21 types of filamentous organisms based on visual characteristics, is described in detail. The filamentous index, a key parameter for monitoring the quality of activated sludge, is examined in detail, along with methods to minimize subjective evaluation factors using computer technologies. The primary goal of the study is to develop a computerized methodology for the rapid quantitative determination of the filamentous index, and area of filamentous microorganisms in activated sludge. The ImageJ software was used for processing microphotographs of sludge, enabling precise measurements of geometric characteristics. The analysis includes processing images from Eikelboom's work to establish reference values for the filamentous index. Microsoft Excel software was used for theoretical calculations and statistical analysis of experimental data. The results of the research, which confirm the effectiveness of the proposed methodologies, are presented. Keywords: activated sludge, sludge bulking, filamentous index, quantitative analysis, treatment efficiency.
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