Influence of low and high dosages of methyl and propyl parabens on membrane bioreactor (MBR) performance

Palharim, Priscila Hasse; Lastre-Acosta, Arlen Mabel; Mierzwa, José Carlos; Teixeira, Antônio Carlos Silva Costa

doi:10.1080/01496395.2021.1965167

Cited by 1 publication

(3 citation statements)

References 34 publications

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“…The linear regression equation between and is shown in equations and (3)(4), where is the regression coefficient between and. u^i = u i t i…”

Section: Plsr Parameter Selectionmentioning

confidence: 99%

“…The prediction fitting value formula of the new sample j (j=1,2...... M) based on all samples is shown in formula (3)(4)(5), where is the process vector of sample j, is the regression coefficient variable, and is the offset. The final number of extracted components is determined by the cross-validity criterion according to Formula (3-6), where h is the extracted fraction.…”

Section: Plsr Parameter Selectionmentioning

confidence: 99%

“…MBR (Membrane Bio-Reactor) is a new type of wastewater treatment system that organically combines membrane separation technology and biological treatment technology [1][2][3]. A key factor that restricts the development of MBR is membrane pollution.…”

Section: Introductionmentioning

confidence: 99%

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Research on Intelligent Detection System for Predicting Membrane Pollution

Zhang¹,

Li²

2023

FCIS

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Membrane bioreactor (MBR) is a new sewage treatment system that organically combines membrane separation technology and biological treatment technology. The key problem restricting the development of MBR is membrane pollution. This paper summarizes the main causes of membrane pollution and common treatment methods, and puts forward a new method of membrane pollution prevention - intelligent detection system. The intelligent detection system can be divided into four modules: data acquisition module, real-time data transmission module, online prediction module and real-time display module, which are used to monitor the actual situation of sewage treatment, thus reducing membrane pollution and improving.

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“…The linear regression equation between and is shown in equations and (3)(4), where is the regression coefficient between and. u^i = u i t i…”

Section: Plsr Parameter Selectionmentioning

confidence: 99%

Section: Plsr Parameter Selectionmentioning

confidence: 99%