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231226s2024 xx |||||o 00| ||eng c |
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|a 10.1080/09593330.2023.2283802
|2 doi
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|a pubmed25n1214.xml
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|a (DE-627)NLM364472553
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|a (NLM)37955604
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Yang, Bo
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Optimization of catalytic wet air oxidation process in microchannel reactor for TBBS wastewater treatment
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|c 2024
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Completed 25.09.2024
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|a Date Revised 25.09.2024
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Catalytic wet air oxidation (CWAO) process is employed for the treatment of N-tert-butyl-2-benzothiazolesulfenamide (TBBS) wastewater in a microchannel reactor that enables continuous operation of the reaction and allows for thorough mixing of oxygen and pollutants. To achieve the optimal process performance, four key parameters of pressure, temperature, time, and the mass ratio of input oxygen to wastewater COD are optimized using both response surface methodology (RSM) and backpropagation artificial neural network (BP-ANN). According to the correlation coefficients of model results and experimental data, BP-ANN performs better than RSM in simulation and prediction. The analysis of variance in RSM shows that all parameters are significant for the obtained quadratic model, but their interactions with each other are not significant. Connection weights algorithm is used to determine the relative importance of these parameters for the process efficiency, and it is demonstrated that temperature is the most influential parameter with a relative importance of 35.61%, followed by pressure (29.74%), time (19.53%) and ROC (15.12%)
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|a Journal Article
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|a Catalytic wet air oxidation
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|a TBBS wastewater
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|a microchannel reactor
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|a parameter optimization
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|a performance prediction
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| 650 |
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|a Wastewater
|2 NLM
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| 650 |
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|a Water Pollutants, Chemical
|2 NLM
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| 650 |
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|a Benzothiazoles
|2 NLM
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| 700 |
1 |
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|a Li, Jiankang
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wang, Jipeng
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Environmental technology
|d 1993
|g 45(2024), 24 vom: 04. Okt., Seite 5104-5112
|w (DE-627)NLM098202545
|x 1479-487X
|7 nnas
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| 773 |
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|g volume:45
|g year:2024
|g number:24
|g day:04
|g month:10
|g pages:5104-5112
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|u http://dx.doi.org/10.1080/09593330.2023.2283802
|3 Volltext
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