Evidence map›Paper›PMID 30684059›Full record

ArticleEnvironmental monitoring and assessment2019

Assessment of the mobility, bioaccessibility, and ecological risk of Pb and Zn on a dirt road located in a former mining area-Ribeira Valley-Brazil.

Mariana Consiglio Kasemodel, Thiago Bueno Ruiz Papa, Joel Barbujiani Sígolo, Valéria Guimarães Silvestre Rodrigues

Open access · greenAbstract read
PubMed Publisher
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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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

0 citing papers in PubMed, 25 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 2 countries.

Mariana Consiglio KasemodelDepartment of Geotechnical Engineering, São Carlos School of Engineering, University of São Paulo, 400 Trabalhador Sãocarlense Ave., São Carlos, SP, 13566-590, Brazil.
Thiago Bueno Ruiz PapaForensic Expertise Team of Avaré - SPTC, 11 Mato Grosso Rd., Avaré, SP, 18705-390, Brazil.
Joel Barbujiani SígoloInstitute of Geosciences, University of São Paulo, 562 Lago Rd., São Paulo, SP, 05508-080, Brazil.
Valéria Guimarães Silvestre RodriguesDepartment of Geotechnical Engineering, São Carlos School of Engineering, University of São Paulo, 400 Trabalhador Sãocarlense Ave., São Carlos, SP, 13566-590, Brazil. valguima@usp.br.ORCID http://orcid.org/0000-0001-8937-839X
Universidade de São Paulo · BRUniversidade do Estado de Mato Grosso · BR

Funding

FAPESP 2014/07180-7
6 · The paper itself

Abstract

The inadequate transportation of foundry slags during the construction of a mining waste landfill accounted for the presence of slags in the dirt road that connects the working district of Vila Mota to the city of Adrianópolis. The objectives of this work were to assess the lead (Pb) and zinc (Zn) contamination of the dirt. Three samples separated by 2 km were collected along a dirt road (samples: Adrianópolis, Deposit, and Plant). The conducted assays were physico-chemical parameters, pseudototal concentration, three sequential extraction procedures, and bioaccessibility assay. The laboratory data was used as input in the calculation of contamination indices risk assessment code (RAC) and potential ecological risk (Er

Indexed as

BrazilCitiesEcologyEnvironmental MonitoringLeadMiningRisk AssessmentSoilSoil PollutantsZincLeadSoilSoil PollutantsZincBiodisponibilityPotential ecological riskPotentially toxic metalsRisk assessment codeSequential extractionSlag

Identifiers

PMID30684059
OpenAlexW2911682622

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.