Evidence map›Paper›PMID 34023998›Full record

ArticleEnvironmental science and pollution research international2021

Enhancing biological nitrogen removal for a retrofit project using wastewater with a low C/N ratio-a model-based study.

Qian Shao, Fan Wan, Weiwei Du, Jiajie He

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Qian ShaoCollege of Resources and Environment, Huazhong Agricultural University, Wuhan, 430070, China.
Fan WanWuhan Planning and Design Co., Ltd., Wuhan, 430014, China.
Weiwei DuSichuan Wentao Engineering and Technologies Co., Ltd., Chengdu, 610000, China.
Jiajie HeCollege of Resources and Environment, Huazhong Agricultural University, Wuhan, 430070, China. hejiajie2000@hotmail.com.ORCID http://orcid.org/0000-0002-1532-0870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anaerobic ammonium oxidation (anammox) has the merit of saving the carbon source and aeration energy for nitrogen (N) removal, but it is normally a challenge to achieve mainstream anammox. In this study, the potential to enhance the N-removal capability of an existing University of Cape Town membrane bioreactor system (UCT-MBR) system is evaluated through process modeling. In addition to external carbon addition, the UCT-MBR system is proposed to be converted into an anoxic-oxic (AO) configuration with two operation plans: one is single-sludge (suspended sludge) and the other is double-sludge (suspended sludge and biofilm). The choice between pushing anammox and enhancing conventional heterotrophic denitrification is assessed. The simulation result indicates it is feasible to strategically adjust the spatial-temporal balance between electron donors and electron acceptors to achieve enhanced N-removal by utilizing the influent organic carbon other than adding external carbon. Although anammox can be promoted in the double-sludge-based AO under low-DO conditions, pushing anammox will weaken the system's resilience to influent fluctuations and carries no economic advantage over the single-sludge-based AO. Overall, this study concurs with the United Nations Sustainable Development Goal that the wastewater industry should seek more energy-efficient measures for wastewater treatment.

Indexed as

NitrogenWastewaterAnaerobiosisBioreactorsDenitrificationOxidation-ReductionSewageNitrogenSewageWastewaterAerationAnammoxBiowinModelingPartial nitrificationWastewater treatment plant

Identifiers

PMID34023998
PMCPMC8140755

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.