Evidence map›Paper›PMID 32451969›Full record

ArticleAmbio2021

Mitigation of eutrophication caused by wastewater discharge: A simulation-based approach.

Michał Preisner, Elena Neverova-Dziopak, Zbigniew Kowalewski

Abstract read
In one paragraph

Article in Ambio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Phytoextraction Options.Advances in biochemical engineering/biotechnology · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

3 authors.

Michał PreisnerMineral and Energy Economy Research Institute, Polish Academy of Sciences, ul. Wybickiego 7A, 31-261, Kraków, Poland. preisner@meeri.pl.ORCID http://orcid.org/0000-0001-9795-4086
Elena Neverova-DziopakAGH University of Science and Technology, al. Mickiewicza 30, 30-059, Kraków, Poland.
Zbigniew KowalewskiAGH University of Science and Technology, al. Mickiewicza 30, 30-059, Kraków, Poland.ORCID http://orcid.org/0000-0001-6010-4993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitigation of eutrophication, intensified by excessive nutrient load discharge in wastewaters regulated by restrictive legal requirements, remains one of today's most important global problems. Despite implementation of the Water Framework Directive, the Urban Wastewater Directive and the HELCOM recommendations, the actual condition of surface water is still not satisfactory. In response to the above, the study presents an alternative approach for surface water protection against eutrophication based on the selection of appropriate nutrient removal technologies. An activated sludge model simulation was used to enable the identification of environmentally justified nutrient removal systems with lowest eutrophication potential of treated wastewater conditioned by bioavailable nutrient forms content. Based on the outcome of the study, the 3-stage Bardenpho system was identified as the most efficient for bioavailable phosphorus removal, while the Johannesburg system proved to have the highest efficiency for bioavailable nitrogen removal. The proposed eutrophication mitigation approach underlines the need for a reconsideration of current legal regulations which ignore nutrient bioavailability and key eutrophication limiting factors.

Indexed as

EutrophicationWastewaterNitrogenPhosphorusSouth AfricaNitrogenPhosphorusWastewaterASM simulationEutrophication potentialNutrients bioavailabilityWastewater treatment

Identifiers

PMID32451969
PMCPMC7782632

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.