Evidence map›Paper›PMID 41094764›Full record

ArticleSensors (Basel, Switzerland)2025

Integrating Advanced Technologies for Environmental Valuation in Legacy Mining Sites: The Role of Digital Twins at Lavrion Technological and Cultural Park.

Miguel Ángel Maté-González, Cristina Sáez Blázquez, Sergio Alejandro Camargo Vargas, Fernando Peral Fernández, Daniel Herranz Herranz, Enrique González González, Vasileios Protonotarios, Diego González-Aguilera

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

8 authors.

Miguel Ángel Maté-GonzálezCartographic and Land Engineering Department, Higher Polytechnic School of Avila, Universidad de Salamanca, Hornos Caleros 50, 05003 Ávila, Spain.ORCID 0000-0001-5721-346X
Cristina Sáez BlázquezCartographic and Land Engineering Department, Higher Polytechnic School of Avila, Universidad de Salamanca, Hornos Caleros 50, 05003 Ávila, Spain.ORCID 0000-0002-5333-0076
Sergio Alejandro Camargo VargasCartographic and Land Engineering Department, Higher Polytechnic School of Avila, Universidad de Salamanca, Hornos Caleros 50, 05003 Ávila, Spain.ORCID 0000-0002-1942-4976
Fernando Peral FernándezCartographic and Land Engineering Department, Higher Polytechnic School of Avila, Universidad de Salamanca, Hornos Caleros 50, 05003 Ávila, Spain.
Daniel Herranz HerranzCartographic and Land Engineering Department, Higher Polytechnic School of Avila, Universidad de Salamanca, Hornos Caleros 50, 05003 Ávila, Spain.
Enrique González GonzálezCartographic and Land Engineering Department, Higher Polytechnic School of Avila, Universidad de Salamanca, Hornos Caleros 50, 05003 Ávila, Spain.ORCID 0000-0002-8025-2464
Vasileios ProtonotariosLavrion Technological and Cultural Park, 19500 Lavrion, Greece.ORCID 0000-0002-9521-8752
Diego González-AguileraCartographic and Land Engineering Department, Higher Polytechnic School of Avila, Universidad de Salamanca, Hornos Caleros 50, 05003 Ávila, Spain.ORCID 0000-0002-8949-4216

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rehabilitation of mining environments poses significant challenges due to the contamination risks associated with hazardous materials, such as arsenic and other chemical products. This research study presents the development of a Digital Twin for the Lavrion Technological and Cultural Park (LTCP), a former mining and metalworking site that is currently undergoing environmental restoration. The Digital Twin integrates advanced technologies, including real-time sensor monitoring, geophysical methods, and 3D modeling, to provide a comprehensive tool for assessing and managing the environmental conditions of the site. Key elements of the project include the monitoring of hazardous-waste storage, the evaluation of contaminated soils, and the assessment of the Park's infrastructure, which includes both deteriorating buildings and successfully restored structures. Real-time sensor data are collected to track critical parameters such as conductivity, temperature, salinity, and levels of pollutants, enabling proactive environmental management and mitigation of potential risks. The integration of these technologies enables continuous monitoring, historical data analysis, and improved decision making in the ongoing efforts to preserve the site's ecological integrity. This study demonstrates the potential of using Digital Twins as an innovative solution for the sustainable management and valorization of mining heritage sites, offering insights into both technological applications and environmental conservation practices.

Indexed as

3D modelingdigital transformationDigital Twinenvironmental managementenvironmental pollutionGeologyGeophysicsheritage recovery and conservationindustrial cultural heritageInternet of Things (IoT)mining environmentssustainabilitytechnological innovationvirtual tour

Identifiers

PMID41094764
PMCPMC12526868

What OpenQuestion holds

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LicenceCC BY
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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.