Monitoring a Sequencing Batch Reactor for the Treatment of Wastewater by a Combination of Multivariate Statistical Process Control and a Classification Technique

Magda Ruiz (), Joan Colomer () and Joaquim Melendez ()
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Magda Ruiz: University of Girona
Joan Colomer: University of Girona
Joaquim Melendez: University of Girona

A chapter in Frontiers in Statistical Quality Control 8, 2006, pp 263-282 from Springer

Abstract: Summary A combination of Multivariate Statistical Process Control (MSPC) and an automatic classification algorithm is applied to monitor a Waste Water Treatment Plant (WWTP). The goal of this work is to evaluate the capabilities of these techniques for assessing the actual state of a WWTP. The research was performed in a pilot WWTP operating with a Sequencing Batch Reactor (SBR). The results obtained refer to the dependence of process behavior with environmental conditions and the identification of specific abnormal operating conditions. It turned out that the combination of tolls yields better classifications compared with those obtained by using methods based on Partial Least Squares.

Keywords: Batch Process; Nitrogen Removal; Sequencing Batch Reactor; Abnormal Behavior; Waste Water Treatment Plant (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-1687-7_16

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DOI: 10.1007/3-7908-1687-6_16

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