Evidence map›Paper›PMID 37365432›Full record

ArticleEnvironmental monitoring and assessment2023

Evaluation of the danger of a tailings pile belonging to an active mine through its characterization and a dispersion model.

Jesús Fidel González-Sánchez, Osiel O Mendoza-Lara, Jorge Luis Romero-Hernández, Georgina Fernández-Villagómez

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

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.

Jesús Fidel González-SánchezFaculty of Engineering, National Autonomous University of Mexico, Av. Universidad 3000, C.P. 04510, Del. Coyoacán, Ciudad de Mexico, México. fidel129@comunidad.unam.mx.
Osiel O Mendoza-LaraFaculty of Engineering, National Autonomous University of Mexico, Av. Universidad 3000, C.P. 04510, Del. Coyoacán, Ciudad de Mexico, México.
Jorge Luis Romero-HernándezFaculty of Engineering, National Autonomous University of Mexico, Av. Universidad 3000, C.P. 04510, Del. Coyoacán, Ciudad de Mexico, México.
Georgina Fernández-VillagómezFaculty of Engineering, National Autonomous University of Mexico, Av. Universidad 3000, C.P. 04510, Del. Coyoacán, Ciudad de Mexico, México.

Funding

Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México Beca de Posdoctorado
6 · The paper itself

Abstract

Mining is one of the principal economic activities in Mexico, which in addition to bringing benefits to the population, causes health and environmental problems. This activity produces a lot of wastes, but the main one is tailings. In Mexico, these wastes are disposed of in the open air, and there is no control over them, so the particles of these wastes are dispersed by wind currents to the surrounding population. In this research, tailings were characterized, finding in them particles smaller than 100 microns; in this way, tailings can enter into the respiratory system and hence can cause diseases. Furthermore, it is important to identify the toxic components. The present work does not have previous research in Mexico, and it shows a qualitative characterization of the tailings from an active mine using different analytical techniques. In addition to the data obtained from the characterization of the tailings, as well as the concentration of the toxic elements found, which were Pb and As, a dispersal model was generated and used to estimate the concentration of particles in the wind generated at the studied area. The air quality model used in this research is AERMOD, where it uses emission factors and available databases provided by Environmental Protection Agency (USEPA); Moreover, the model was coupled with meteorological information from the latest generation WRF model. The modeling results estimated that the dispersion of particles from the tailings dam can contribute up to 10.15 µg/m

Indexed as

Environmental MonitoringLeadHumansMexicoUnited StatesWindLeadAERMODAir pollutionMining tailingModellingWRF

Identifiers

PMID37365432
PMCPMC10293379

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Registered trials

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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.