Evidence map›Paper›PMID 34114093›Full record

ArticleEnvironmental monitoring and assessment2021

Spatial variability of surface water quality in a large Brazilian semiarid reservoir and its main tributaries.

Karla Lorrane de Oliveira, Ramatisa Ladeia Ramos, Sílvia Corrêa Oliveira, Cristiano Christofaro

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 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.

Karla Lorrane de OliveiraDepartment of Sanitary and Environmental Engineering, Federal University of Minas Gerais, 30.270-901, P.O. Box 1294, Belo Horizonte, MG, Brazil.
Ramatisa Ladeia RamosDepartment of Sanitary and Environmental Engineering, Federal University of Minas Gerais, 30.270-901, P.O. Box 1294, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0001-8294-8476
Sílvia Corrêa OliveiraDepartment of Sanitary and Environmental Engineering, Federal University of Minas Gerais, 30.270-901, P.O. Box 1294, Belo Horizonte, MG, Brazil. silvia@desa.ufmg.br.
Cristiano ChristofaroDepartment of Forestry Engineering, Federal University of Jequitinhonha and Mucuri Valleys, 39.100-000, P.O. Box 5000, Diamantina, MG, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brazil has one of the greatest hydroelectric potential in the world with high number of reservoirs for the electricity generation. However, little is known about the influence of these environments on the water quality. The water quality monitoring data from 14 stations distributed throughout the Irapé HPP reservoir (lentic environment), and its main tributaries (lotic environment), between the years 2008 and 2018, were evaluated and compared to assess the spatial variability of water quality. The analyzed parameters included total alkalinity, thermotolerant coliforms, electric conductivity, biochemical oxygen demand, dissolved iron, total phosphorus, nitrate, total ammoniacal nitrogen, dissolved oxygen, pH, total dissolved solids, sulfate, water temperature, and turbidity. Cluster analysis (CA), Kruskal-Wallis (KW) tests, Spearman rank-order correlation, and principal component analysis (PCA) were applied to identify and compare the relationship between the main parameters in the lotic and lentic environments. The CA resulted in four clusters according to proximity and the environment type (lotic or lentic). In general, the water quality showed better conditions in the reservoir and in the lotic stations on the immediate surround. The results may be associated with the greater sedimentation in the lentic environment. The analyses indicated that agricultural activities and the geochemical characteristics of the region are the main responsible for changes in the water quality.

Indexed as

Water Pollutants, ChemicalWater QualityBrazilEnvironmental MonitoringPhosphorusPrincipal Component AnalysisRiversPhosphorusWater Pollutants, ChemicalCluster analysisEnvironmental statisticHydroelectric reservoirPrincipal component analysisWater monitoringWater quality

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.