Evidence map›Paper›PMID 40727919›Full record

ArticleWater2025

Modeling Metal(loid)s Transport in Arid Mountain Headwater Andean Basin: A WASP-Based Approach.

Daniela Castillo, Ricardo Oyarzún, Pablo Pastén, Christopher D Knightes, Denisse Duhalde, José Luis Arumí, Jorge Núñez, José Antonio Díaz

Abstract read
In one paragraph

Article in Water, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. SWAT-WASP coupled modeling of ammonia nitrogen in rare earth mining watersheds.Water science and technology : a journal of the International Association on Water Pollution Research · 2026
    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

8 authors.

Daniela CastilloDoctorate Program in Energy, Water and Environment, Universidad de La Serena, La Serena 1700000, Chile.ORCID 0000-0001-5670-964X
Ricardo OyarzúnMining Engineering Department, Universidad de La Serena, La Serena 1700000, Chile.ORCID 0000-0002-1408-4693
Pablo PasténDepartment of Hydraulic and Environmental Engineering, Pontificia Universidad Católica de Chile, Macul 7810000, Chile.ORCID 0000-0002-9961-9342
Christopher D KnightesAtlantic Coastal Environmental Sciences Division, Center for Environmental Measurement & Modeling, Office of Research and Development, United States Environmental Protection Agency, Narragansett, RI 02882, USA.ORCID 0000-0002-7784-5728
Denisse DuhaldeMining Engineering Department, Universidad de La Serena, La Serena 1700000, Chile.
José Luis ArumíWater Research Center for Agriculture and Mining (Centro de Recursos Hídricos para la Agricultura y la Minería, CRHIAM), ANID FONDAP Center, Universidad de Concepción, Concepción 4070411, Chile.ORCID 0000-0002-8101-3510
Jorge NúñezMining Engineering Department, Universidad de La Serena, La Serena 1700000, Chile.ORCID 0000-0002-3601-7803
José Antonio DíazDepartment of Hydraulic and Environmental Engineering, Pontificia Universidad Católica de Chile, Macul 7810000, Chile.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The occurrence of toxic metal(loid)s in surface freshwater is a global concern due to its impacts on human and ecosystem health. Conceptual and quantitative metal(loid) models are needed to assess the impact of metal(loid)s in watersheds affected by acid rock drainage. Few case studies have focused on arid and semiarid headwaters, with scarce hydrological and hydrochemical information. This work reports the use of WASP8 (US EPA) to model Al, Fe, As, Cu, and SO

Indexed as

acid rock drainage (ARD)local sensitivitymetal(loid)smodelingWASPwater quality

Identifiers

PMID40727919
PMCPMC12292266

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.