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Bioindicator in Advanced Wastewater Plants  

Lee Chan-Hyung (Public Health and Environment Institute of Daegu City)
Moon Kyung-Suk (Environmental Installations Corporation of Daegu City)
Jin Ing-Nyol (Department of Microbiology, Kyungpook National University)
Publication Information
Microbiology and Biotechnology Letters / v.33, no.1, 2005 , pp. 56-64 More about this Journal
Abstract
The occurrence and abundance of protozoa at advanced wastewater treatment plant were compared with operating parameters and effluent quality using statistical procedures. It seemed that plant operating conditions influenced the distribution of protozoa in the mixed liquor. In statistical analysis, the distribution of protozoa showed the operating condition of plant and predicted effluent quality. Once enough data concerning protozoa, operating parameters and effluent has been gathered, the operator has a valuable tool for predicting plant performance and near-future effluent quality based on microscopic examination. Plant operator manipulates operating conditions if he knows near-future effluent quality is deteriorating. Perhaps more importantly it can be used to actually control the plant to adjust the operating conditions to obtain the protozoal populations that have been shown to provide the best effluent quality.
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