Evidence map›Paper›PMID 38624010›Full record

ArticleEnvironmental science & technology2024

Process-Based and Probabilistic Quantification of Co and Ni Mobilization Risks Induced by Managed Aquifer Recharge.

Claudio Vergara-Sáez, Henning Prommer, Adam J Siade, Jing Sun, Simon Higginson

Abstract read
In one paragraph

Article in Environmental science & technology, 2024. 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

5 authors.

Claudio Vergara-SáezSchool of Earth Sciences, University of Western Australia, 35 Stirling Highway, Perth, Western Australia 6009, Australia.
Henning PrommerSchool of Earth Sciences, University of Western Australia, 35 Stirling Highway, Perth, Western Australia 6009, Australia.ORCID 0000-0002-8669-8184
Adam J SiadeSchool of Earth Sciences, University of Western Australia, 35 Stirling Highway, Perth, Western Australia 6009, Australia.ORCID 0000-0003-3840-5874
Jing SunSchool of Earth Sciences, University of Western Australia, 35 Stirling Highway, Perth, Western Australia 6009, Australia.ORCID 0000-0002-0129-5184
Simon HigginsonWater Corporation of Western Australia, Leederville, Western Australia 6007, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Managed aquifer recharge (MAR) is an increasingly used water management technique that enhances water availability while commonly generating water quality benefits. However, MAR activities may also trigger adverse geochemical reactions, especially during the injection of oxidant-enriched waters into reducing aquifers. Where this occurs, the environmental risks and the viability of mitigating them must be well understood. Here, we develop a rigorous approach for assessing and managing the risks from MAR-induced metal mobilization. First, we develop a process-based reactive transport model to identify and quantify the main hydrogeochemical drivers that control the release of metals and their mobility. We then apply a probabilistic framework to interrogate the inherent uncertainty associated with adjustable model parameters and consider this uncertainty (i) in long-term predictions of groundwater quality changes and (ii) in scenarios that investigate the effectiveness of modifications in the water treatment process to mitigate metal release and mobility. The results suggested that Co, Ni, Zn, and Mn were comobilized during pyrite oxidation and that metal mobility was controlled (i) by the sediment pH buffering capacity and (ii) by the sorption capacity of the native aquifer sediments. Both tested mitigation strategies were shown to be effective at reducing the risk of elevated metal concentrations.

Indexed as

GroundwaterNickelWater Pollutants, ChemicalCobaltCobaltNickelWater Pollutants, Chemicalmanaged aquifer rechargemetal mobilityprobabilistic frameworkreactive transport modelinguncertainty

Identifiers

PMID38624010
PMCPMC11064215

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LicenceCC BY-NC-ND
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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.