Optimisation of wastewater biological denitrification based on mathematical simulation.
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| Title: | Optimisation of wastewater biological denitrification based on mathematical simulation. |
|---|---|
| Authors: | Li, Xiaoxia1 (AUTHOR) xiaoxia-li@outlook.com, Liang, Peng2 (AUTHOR), Chen, Guolin3 (AUTHOR) |
| Source: | Journal of Environmental Engineering & Science. 2026, Vol. 21 Issue 3, p184-196. 13p. |
| Subjects: | Denitrification, Bioelectrochemistry, Water quality monitoring, Computer simulation, Microbiological chemistry, Nitrogen removal (Sewage purification), Wastewater treatment, Electrochemical electrodes |
| Abstract: | With increasing urbanisation and industrial activity, municipal wastewater treatment faces growing challenges, particularly in nitrogen removal. This study developed a bioelectrochemical system to enhance microbial activity and nitrogen removal pathways through electrochemical properties. A mathematical evaluation model was constructed, and experiments were conducted to analyse the effects of electrochemical characteristics, dissolved oxygen levels, and carbon/nitrogen ratios on nitrogen migration, conversion, and removal. Results showed that applying a power supply shortened the domestication time of nitrifying bacteria and improved nitrogen removal efficiency. Under high dissolved oxygen conditions (4.5–5.5 mg/l) with applied voltage, NO 3−-N removal reached 73.72%. At a high carbon/nitrogen ratio of 8, removal increased to 89.63%. With 0.2 V constant power, high dissolved oxygen, and a high carbon/nitrogen ratio, NO 3−-N levels dropped to nearly 0 mg/l, achieving a total nitrogen removal rate of ≈99%. These findings demonstrate the effectiveness of the proposed bioelectrochemical denitrification method, offering a new technological approach for municipal wastewater treatment. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Environmental Engineering & Science is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 195281503 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimisation of wastewater biological denitrification based on mathematical simulation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Xiaoxia%22">Li, Xiaoxia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> xiaoxia-li@outlook.com</i><br /><searchLink fieldCode="AR" term="%22Liang%2C+Peng%22">Liang, Peng</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Guolin%22">Chen, Guolin</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Environmental+Engineering+%26+Science%22">Journal of Environmental Engineering & Science</searchLink>. 2026, Vol. 21 Issue 3, p184-196. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Denitrification%22">Denitrification</searchLink><br /><searchLink fieldCode="DE" term="%22Bioelectrochemistry%22">Bioelectrochemistry</searchLink><br /><searchLink fieldCode="DE" term="%22Water+quality+monitoring%22">Water quality monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Microbiological+chemistry%22">Microbiological chemistry</searchLink><br /><searchLink fieldCode="DE" term="%22Nitrogen+removal+%28Sewage+purification%29%22">Nitrogen removal (Sewage purification)</searchLink><br /><searchLink fieldCode="DE" term="%22Wastewater+treatment%22">Wastewater treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Electrochemical+electrodes%22">Electrochemical electrodes</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: With increasing urbanisation and industrial activity, municipal wastewater treatment faces growing challenges, particularly in nitrogen removal. This study developed a bioelectrochemical system to enhance microbial activity and nitrogen removal pathways through electrochemical properties. A mathematical evaluation model was constructed, and experiments were conducted to analyse the effects of electrochemical characteristics, dissolved oxygen levels, and carbon/nitrogen ratios on nitrogen migration, conversion, and removal. Results showed that applying a power supply shortened the domestication time of nitrifying bacteria and improved nitrogen removal efficiency. Under high dissolved oxygen conditions (4.5–5.5 mg/l) with applied voltage, NO 3−-N removal reached 73.72%. At a high carbon/nitrogen ratio of 8, removal increased to 89.63%. With 0.2 V constant power, high dissolved oxygen, and a high carbon/nitrogen ratio, NO 3−-N levels dropped to nearly 0 mg/l, achieving a total nitrogen removal rate of ≈99%. These findings demonstrate the effectiveness of the proposed bioelectrochemical denitrification method, offering a new technological approach for municipal wastewater treatment. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Environmental Engineering & Science is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1680/jenes.25.00072 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 184 Subjects: – SubjectFull: Denitrification Type: general – SubjectFull: Bioelectrochemistry Type: general – SubjectFull: Water quality monitoring Type: general – SubjectFull: Computer simulation Type: general – SubjectFull: Microbiological chemistry Type: general – SubjectFull: Nitrogen removal (Sewage purification) Type: general – SubjectFull: Wastewater treatment Type: general – SubjectFull: Electrochemical electrodes Type: general Titles: – TitleFull: Optimisation of wastewater biological denitrification based on mathematical simulation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Xiaoxia – PersonEntity: Name: NameFull: Liang, Peng – PersonEntity: Name: NameFull: Chen, Guolin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 14962551 Numbering: – Type: volume Value: 21 – Type: issue Value: 3 Titles: – TitleFull: Journal of Environmental Engineering & Science Type: main |
| ResultId | 1 |
