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Development of a Diagnosis Algorithm of Influent Loading Levels Using Pattern Matching Method in Sequencing Batch Reactor (SBR)  

Kim, Ye-Jin (Department of Environmental Engineering, Pusan National University)
Ahn, Yu-Ga (Hynix Semiconductor)
Kim, Hyo-Su (Department of Environmental Engineering, Pusan National University)
Shin, Jung-Phil (Aizu International University)
Kim, Chang-Won (Department of Environmental Engineering, Pusan National University)
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Abstract
DO, ORP and pH values measured during SBR operation can provide information about removal reaction of organic contaminants and nutrient materials in the reactor. It is already generalized control strategy to control reaction phase time using their special patterns indicating the end of the removal reactions. However, those informations are limited to point out the end time of oxidative reaction in the aerobic phase or reductive reaction in the anoxic phase without giving quantitative value of influent loading level. In this research, a diagnosis algorithm which can estimate the loading level of carbon and ammonia as high, medium and low was developed using the basic measurements like DO, ORP, and pH. It will be possible to know the level of influent loading rate from those online measurements without experimental analysis.
Keywords
Carbon Oxidation; Discriminant Analysis; Nitrification; Dynamic Time Warping; ORP; Sequencing Batch Reactor;
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