IMPLEMENTATION OF THE SLUDGE BIOTIC INDEX FOR CONTROL AND OPTIMIZATION OF THE BIOLOGICAL TREATMENT PROCESS

Author:

,Iurchenko ValentinaORCID,Tkachenko SvitlanaORCID,

Abstract

The article examines the methodology for determining the Sludge Biotic Index (SBI) to assess the quality of activated sludge at treatment plants. The Sludge Biotic Index is a tool for quantitatively evaluating the functionality of sludge, allowing for monitoring and detection of critical conditions that may affect the quality of wastewater treatment. The determination of SBI is based on the analysis of the microfauna of activated sludge, where organisms are grouped into positive and negative key groups depending on their impact on the treatment process. The methodology allows for comparisons between different treatment facilities and identifying exceedances of discharge limits. Experimental studies were conducted at wastewater treatment facilities in Kharkiv. Samples of sludge were collected over several months, allowing for the investigation of changes in sludge quality over time. It was established that using the SBI allows for determining the degree of stability of activated sludge, as well as identifying adverse phenomena such as sludge bulking, which can lead to a decrease in treatment efficiency. The results of the studies confirm that the application of the SBI contributes to improving control and optimizing the biological water treatment process, which is especially important for the preservation of natural water resources. The obtained data indicate the high effectiveness of using the biotic index for monitoring the condition of activated sludge, allowing timely measures to be taken to improve wastewater treatment quality. This confirms the feasibility of implementing European methodologies in the management practices of treatment facilities in Ukraine.

Publisher

Lviv Polytechnic National University

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3