Evidence map›Paper›PMID 39956423›Full record

ArticleEnvironmental research2025

Lead source apportionment and climatic impacts in rural environmental justice mining communities.

Zain Alabdain Alqattan, Alexandra Trahan, God'sgift N Chukwuonye, Miriam Jones, Mónica D Ramírez-Andreotta

Abstract read
In one paragraph

Article in Environmental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
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  5. 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.

Zain Alabdain AlqattanDepartment of Environmental Science, College of Agriculture and Life Sciences, University of Arizona, Tucson, AZ, USA.
Alexandra TrahanDepartment of Environmental Science, College of Agriculture and Life Sciences, University of Arizona, Tucson, AZ, USA.
God'sgift N ChukwuonyeDepartment of Environmental Science, College of Agriculture and Life Sciences, University of Arizona, Tucson, AZ, USA.
Miriam JonesDepartment of Environmental Science, College of Agriculture and Life Sciences, University of Arizona, Tucson, AZ, USA.
Mónica D Ramírez-AndreottaDepartment of Environmental Science, College of Agriculture and Life Sciences, University of Arizona, Tucson, AZ, USA; Division of Community, Environment & Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA. Electronic address: mdramire@arizona.edu.

Funding

TRANSPORT OF TRACE METALS IN A POLLUTED AQUIFERP42ES004940 · NIEHS · UNIVERSITY OF ARIZONA · PI Jon D Chorover · 1990 to 2026
$68.1M
SOUTHWEST ENVIRONMENTAL HEALTH SCIENCES CENTERP30ES006694 · NIEHS · UNIVERSITY OF ARIZONA · PI DEAN BILLHEIMER · 1994 to 2026
$36.7M
Wildfires and Flash Floods: Using Exposure Science to Identify Rural Arizona Mining Communities at Risk from the Release and Remobilization of ContaminantsR21ES034591 · NIEHS · UNIVERSITY OF ARIZONA · PI RAMIREZ-ANDREOTTA, MONICA D. · 2022 to 2023
$422k
NIEHS NIH HHS P30 ES006694NIEHS NIH HHS P42 ES004940NIEHS NIH HHS R21 ES034591
6 · The paper itself

Abstract

After a sequence of natural disasters in Gila County, Arizona, USA environmental justice (EJ), mining areas, community members raised concerns about metal(loid)s exposure and origin. To address these concerns, non-residential sediments (0-2 cm, 2-15 cm, and 15-30 cm), household soil (0-2 cm), and indoor and outdoor dust samples were analyzed for metal(loid)s concentration and Pb isotopes via inductively coupled plasma mass spectrometry. To identify the potential sources of Pb, 37 studies were considered, and 21 different Pb isotopic ratios were documented and compared. Spearman's correlation and principal component analysis were used to investigate the co-occurrence of metal(loid)s associated with Pb. The results demonstrated a clear association (p < 0.05) between Pb and mining activity in households and non-residential locations as well as a co-occurrence with As, Cd, Cu, Mo, Sb, and Zn at 0-2 cm and in non-residential with As, Cd, and Zn at 2-15 cm and 15-30 cm. The outdoor household dust was impacted by a mixture of Pb sources and was associated with metal(loid)s coming from mining, wildfire, lead based-paint and landfill, whereas indoor Pb dust was associated mainly with metal(loid)s coming from geogenic sources. Further, 66% of town/city sediment samples across depth and 53.8% of outdoor dust samples were aligned with mining fingerprint and 30.1% of outdoor dust and 25% of household soil samples were aligned with the wildfire Pb isotopic ratio/fingerprint. The Positive Matrix Factorization model illustrates flood's ability to remobilize metal(loid)s from neighboring mine sites to the households' locations. Currently there is no established Pb isotopic ratio composition for wildfires in Arizona; this study lays the foundation for understanding the complex relationship between the myriads of lead sources in our environment, wildfires, and flooding.

Indexed as

Environmental JusticeEnvironmental PollutantsLeadMiningSoil PollutantsArizonaDustEnvironmental MonitoringGeologic SedimentsHumansRural PopulationDustEnvironmental PollutantsLeadSoil PollutantsClimatic eventsCopper miningDustLead source apportionmentmetal(loid)sSoil/sediment

Identifiers

PMID39956423
PMCPMC11895395

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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.