Evidence map›Paper›PMID 31111232›Full record

ArticleEnvironmental monitoring and assessment2019

Adequacy analysis of drinking water treatment technologies in regard to the parameter turbidity, considering the quality of natural waters treated by large-scale WTPs in Brazil.

Lívia Duarte Ventura Melo, Elizângela Pinheiro da Costa, Carolina Cristiane Pinto, Gabriela Rodrigues Barroso, Sílvia Corrêa Oliveira

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2019. 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

5 authors.

Lívia Duarte Ventura MeloUniversidade Federal de Minas Gerais-Escola de Engenharia-Campus Pampulha, Av. Antônio Carlos, 6627-Bloco 1-sala 4525, Belo Horizonte, MG, 31270-901, Brazil.
Elizângela Pinheiro da CostaUniversidade Federal de Minas Gerais-Escola de Engenharia-Campus Pampulha, Av. Antônio Carlos, 6627-Bloco 1-sala 4525, Belo Horizonte, MG, 31270-901, Brazil.
Carolina Cristiane PintoUniversidade Federal de Minas Gerais-Escola de Engenharia-Campus Pampulha, Av. Antônio Carlos, 6627-Bloco 1-sala 4525, Belo Horizonte, MG, 31270-901, Brazil.
Gabriela Rodrigues BarrosoUniversidade Federal de Minas Gerais-Escola de Engenharia-Campus Pampulha, Av. Antônio Carlos, 6627-Bloco 1-sala 4525, Belo Horizonte, MG, 31270-901, Brazil.
Sílvia Corrêa OliveiraUniversidade Federal de Minas Gerais-Escola de Engenharia-Campus Pampulha, Av. Antônio Carlos, 6627-Bloco 1-sala 4525, Belo Horizonte, MG, 31270-901, Brazil. silvia@desa.ufmg.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper seeks to present a performance evaluation of large-scale water treatment plants and verify the adjustment of the treatment to the parameter turbidity of natural waters. Nonparametric and multivariate statistical tools were used to analyze raw water and treated water turbidity of a large on-line monitoring databank for the period from 2013 to 2015, from six large-scale treatment plants utilizing different technologies. Cluster analysis was able to differentiate adequately groups of treatment plants with similar raw and treated water quality. Considering the effluent turbidity as a marker parameter, the results indicated that selection of the technology to be applied must be well studied to always seek the best solution, and that other factors than only the raw water characteristics should be evaluated. It was also demonstrated that utilization of the same treatment technology does not always result in the same effluent quality, since there are many factors related to operation, maintenance, raw water variability, climatic interferences, and others.

Indexed as

BrazilCluster AnalysisDrinking WaterEnvironmental MonitoringFresh WaterGovernment RegulationHydrodynamicsMultivariate AnalysisWater PurificationWater QualityDrinking WaterCluster analysisLarge-scale WTPsMultivariateNonparametric statistical analysisTurbidity

Identifiers

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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.