Evidence map›Paper›PMID 38302521›Full record

ArticleScientific reports2024

Land and sea transport options for the installation of green artificial reefs (GARs) in shallow waters: a Galician case study.

Juan José Cartelle Barros, Alicia Munín-Doce, Laura Castro-Santos, Javier Lamas, Luis Carral

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

5 authors.

Juan José Cartelle BarrosDepartamento de Ciencias da Navegación e Enxeñaría Mariña, Escola Politécnica de Enxeñaría de Ferrol, Universidade da Coruña, Campus Industrial de Ferrol, CITENI, Esteiro, 15471, A Coruña, Spain. juan.cartelle1@udc.es.ORCID http://orcid.org/0000-0003-3139-5757
Alicia Munín-DoceDepartamento de Enxeñaría Naval e Industrial, Escola Politécnica de Enxeñaría de Ferrol, Universidade da Coruña, Campus Industrial de Ferrol, CITENI, Esteiro, 15471, Ferrol, Spain.ORCID http://orcid.org/0000-0002-0265-8805
Laura Castro-SantosDepartamento de Enxeñaría Naval e Industrial, Escola Politécnica de Enxeñaría de Ferrol, Universidade da Coruña, Campus Industrial de Ferrol, CITENI, Esteiro, 15471, Ferrol, Spain.ORCID http://orcid.org/0000-0001-9284-1170
Javier LamasAnta Norte, Lugar Avenida Mestre Manuel Gómez Lorenzo, 30, Vedra, 15885, A Coruña, Spain.ORCID http://orcid.org/0000-0002-3497-9363
Luis CarralDepartamento de Enxeñaría Naval e Industrial, Escola Politécnica de Enxeñaría de Ferrol, Universidade da Coruña, Campus Industrial de Ferrol, CITENI, Esteiro, 15471, Ferrol, Spain.ORCID http://orcid.org/0000-0003-1109-1131

Funding

Xunta de Galicia CN-10MMA003CT
6 · The paper itself

Abstract

The aim of the present paper is to propose a new methodology for the production and installation of green artificial reefs (GARs) in shallow waters, with special attention to the transport stages. The process includes both onshore (manufacturing, road transport and unload at port) and offshore (load at port, sea transport, positioning, and deployment tasks) stages. Two different types of truck were analysed for the road transport. Furthermore, three different options were considered for sea transport: a workboat powered by liquefied natural gas, a barge using diesel (0.1% sulphur) as fuel, and an electric specific design barge. A simulation tool called AGARDO (Automatic Green Artificial Reef Deploy Optimisation) was developed for such a purpose. An estuary located in Galicia (North-West of Spain), where 180 GAR units must be installed, has been considered as case study. AGARDO was used to obtain results concerning process total time, equivalent CO

Identifiers

PMID38302521
PMCPMC10834440

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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.