Evidence map›Paper›PMID 33721164›Full record

ArticleEnvironmental science and pollution research international2021

Impact of anthropogenic activities on an urban river through a comprehensive analysis of water and sediments.

María Fernanda Castro, César Américo Almeida, Cristian Bazán, Juan Vidal, Claudio Daniel Delfini, Liliana Beatriz Villegas

Abstract read
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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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

María Fernanda CastroInstituto de Química San Luis (INQUISAL-CONICET), Facultad de Química Bioquímica y Farmacia de la Universidad Nacional de San Luis, Chacabuco 917, D5700BWS, San Luis, Argentina.
César Américo Almeida *Instituto de Química San Luis (INQUISAL-CONICET), Facultad de Química Bioquímica y Farmacia de la Universidad Nacional de San Luis, Chacabuco 917, D5700BWS, San Luis, Argentina. cesarbioq@gmail.com.
Cristian BazánInstituto de Química San Luis (INQUISAL-CONICET), Facultad de Química Bioquímica y Farmacia de la Universidad Nacional de San Luis, Chacabuco 917, D5700BWS, San Luis, Argentina.
Juan VidalInstituto de Química San Luis (INQUISAL-CONICET), Facultad de Química Bioquímica y Farmacia de la Universidad Nacional de San Luis, Chacabuco 917, D5700BWS, San Luis, Argentina.
Claudio Daniel DelfiniInstituto de Química San Luis (INQUISAL-CONICET), Facultad de Química Bioquímica y Farmacia de la Universidad Nacional de San Luis, Chacabuco 917, D5700BWS, San Luis, Argentina.
Liliana Beatriz Villegas *Instituto de Química San Luis (INQUISAL-CONICET), Facultad de Química Bioquímica y Farmacia de la Universidad Nacional de San Luis, Chacabuco 917, D5700BWS, San Luis, Argentina. lbvilleg@gmail.com.ORCID http://orcid.org/0000-0001-6937-1561

Funding

Fondo para la Investigación Científica y Tecnológica PICT 2013 N° 3170
6 · The paper itself

Abstract

The aim of this study was to assess the impact of urban and industrial areas on an urban river through a comprehensive analysis of water and sediments. Six different sites along the San Luis River, Argentina, were characterized by measuring 12 physical-chemical parameters and nine heavy metals according to standard protocols. Metal pollution in sediment samples was evaluated with several indices. Cluster analysis was applied to standardized experimental data in order to study spatial variability. As, Cu, Cr, Mn, Pb, and Zn were the main contributors to sediment pollution, and the industrial zone studied showed moderate enrichment of Co, Cu, and Zn, probably due to anthropogenic activities. Cluster analysis allowed the grouping of the sites: sediment samples were classified into two clusters according to the metal content; water samples were arranged into three groups according to organic matter content. The results were compared with sediment and water quality guidelines. They indicated progressive deterioration of water and sediment quality compared with the background area, mainly in the sites following the industrial park and domestic discharge areas. Moreover, the results showed that the analysis of both water and sediment should be considered to achieve a watershed contamination profile.

Indexed as

Metals, HeavyWater Pollutants, ChemicalArgentinaEnvironmental MonitoringGeologic SedimentsRiversWaterWater QualityMetals, HeavyWaterWater Pollutants, ChemicalAnthropogenic activitiesHeavy metalsPhysical-chemical characteristics, Urban river

Identifiers

What OpenQuestion holds

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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.