Conceptual development and implementation of a digital twin model for managing saltwater intrusion of an island coastal aquifer.

Ashneel Sharan, Bithin Datta, Dilip Kumar Roy, Alvin Lal

Abstract read

In one paragraph

Article in Environmental monitoring and assessment, 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

4 authors.

Ashneel SharanDiscipline of Civil Engineering, College of Science & Engineering, James Cook University, Townsville, QLD, 4811, Australia. ashneel.sharan@my.jcu.edu.au.

Bithin DattaDiscipline of Civil Engineering, College of Science & Engineering, James Cook University, Townsville, QLD, 4811, Australia.

Dilip Kumar RoyIrrigation and Water Management Division, Bangladesh Agricultural Research Institute, Joydebpur, Gazipur, 1701, Bangladesh.

Alvin LalGlobal Centre for Environmental Remediation, College of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW, 2308, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Saltwater intrusion (SWI) poses a significant environmental challenge for coastal aquifers in Pacific Island nations, including Port Vila, Vanuatu. This study utilised a 3D numerical simulation model to evaluate SWI in the Tagabe coastal aquifer under current pumping regimes. To address SWI, optimal pumping patterns were identified through machine learning-based surrogate ensemble models and a simulation-optimisation (S-O) management model. A digital twin (DT) framework of the Tagabe coastal aquifer was developed, incorporating a 3D numerical model, surrogate ensemble models, and the S-O approach. The DT framework, linked with illustrative field data, was used to generate and analyse five illustrative scenarios based on varying salt concentrations (0.45, 0.55, 0.75, 0.90, and 1.15 kg/m

Indexed as

Environmental MonitoringGroundwaterModels, TheoreticalSalinitySeawaterVanuatuDigital twinEnsemble surrogate modelPacific Island countriesSaltwater intrusionSEAWATSimulation-optimisation

Identifiers

PMID40999269

DOI10.1007/s10661-025-14553-x

PMCPMC12464094

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.