Evidence map›Paper›PMID 41278002›Full record

ArticleACS environmental Au2025

Source Apportionment of Lead in the San Juan Watershed (USA): Influences from Weathering of Mineralized and Sedimentary Deposits.

Richard T Wilkin, Matthew R Noerpel, Matt Rovero, Lisa Costantino, Ian Bowen, Colin Larrick

Abstract read
In one paragraph

Article in ACS environmental Au, 2025. 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
–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

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

6 authors.

Richard T WilkinU.S. Environmental Protection Agency, Center for Environmental Solutions and Emergency Response, Groundwater Characterization and Remediation Division, 919 Kerr Research Drive, Ada, Oklahoma 74820, United States.ORCID https://orcid.org/0000-0002-8635-9545
Matthew R NoerpelU.S. Environmental Protection Agency, Center for Environmental Solutions and Emergency Response, Land Remediation and Technology Division, Cincinnati, Ohio 45268, United States.ORCID https://orcid.org/0000-0001-6841-366X
Matt RoveroU.S. Environmental Protection Agency, Center for Environmental Solutions and Emergency Response, Groundwater Characterization and Remediation Division, 919 Kerr Research Drive, Ada, Oklahoma 74820, United States.
Lisa CostantinoU.S. Environmental Protection Agency, Center for Environmental Solutions and Emergency Response, Groundwater Characterization and Remediation Division, 919 Kerr Research Drive, Ada, Oklahoma 74820, United States.
Ian BowenU.S. Environmental Protection Agency, Region 8, Denver, Colorado 80202, United States.
Colin LarrickU.S. Environmental Protection Agency, Region 9, San Francisco, California 94105, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural and anthropogenic sources of lead (Pb) can adversely impact water and sediment quality within large watersheds and the ecosystems they support. This study examined the sources and distribution of Pb within the San Juan watershed located in southwestern Colorado and the Four Corners region of Colorado, New Mexico, Arizona, and Utah (western United States). Samples for this project were collected from 2018 to 2021 and included seeps and springs located within the mineralized headwaters region, surface water, and sediments along an approximately 570 km stretch of riverbed. Concentrations and isotopic compositions of Pb showed that (1) source attribution using all stable Pb isotope ratios,

Indexed as

Animas Riverleadlead isotopesSan Juan watershedsource attribution

Identifiers

PMID41278002
PMCPMC12635938

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.