Evidence map›Paper›PMID 37067383›Full record

ArticleEnvironmental science & technology2023

Autonomous Large-Scale Radon Mapping and Buoyant Plume Modeling Quantify Deep Submarine Groundwater Discharge: A Novel Approach Based on a Self-Sufficient Open Ocean Vehicle.

Thomas Müller, Jonas Gros, Patrick Leibold, Hajar Al-Balushi, Eric Petermann, Mark Schmidt, Warner Brückmann, Mohammed Al Kindi, Omar S Al-Abri

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Article in Environmental science & technology, 2023. 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
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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

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

9 authors.

Thomas MüllerGEOMAR Helmholtz Centre for Ocean Research Kiel, RD2/Marine Geosystems, Wischhofstrasse 1-3, D-24148 Kiel, Germany.ORCID 0000-0002-0359-4663
Jonas GrosGEOMAR Helmholtz Centre for Ocean Research Kiel, RD2/Marine Geosystems, Wischhofstrasse 1-3, D-24148 Kiel, Germany.
Patrick LeiboldGEOMAR Helmholtz Centre for Ocean Research Kiel, RD2/Marine Geosystems, Wischhofstrasse 1-3, D-24148 Kiel, Germany.
Hajar Al-BalushiMinistry of Higher Education Research and Innovation, P.O. Box 82, Ruwi, 112 Muscat, Sultanate of Oman.
Eric PetermannFederal Office for Radiation Protection (BfS), Köpenicker Allee 120-130, D-10318 Berlin, Germany.
Mark SchmidtGEOMAR Helmholtz Centre for Ocean Research Kiel, RD2/Marine Geosystems, Wischhofstrasse 1-3, D-24148 Kiel, Germany.
Warner BrückmannGEOMAR Helmholtz Centre for Ocean Research Kiel, RD2/Marine Geosystems, Wischhofstrasse 1-3, D-24148 Kiel, Germany.
Mohammed Al KindiEarth Sciences Consultancy Centre, ESSC, P.O. Box 979, P.C. 611, 123 Muscat, Sultanate of Oman.
Omar S Al-AbriMechanical & Industrial Engineering Department, College of Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khoud, 123 Muscat, Sultanate of Oman.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Groundwater discharge into the sea occurs along many coastlines around the world in different geological settings and constitutes an important component of global water and matter budget. Estimates of how much water flows into the sea worldwide vary widely and are largely based on onshore studies and hydrological or hydrogeological modeling. In this study, we propose an approach to quantify a deep submarine groundwater outflow from the seafloor by using autonomously measured ocean surface data, i.e.,

Indexed as

GroundwaterRadonEnvironmental MonitoringOceans and SeasSeawaterWaterWater MovementsRadonWaterArabian coastal groundwaterautonomous offshore surface measurementcyclone rainwater infiltrationradonTAMOC plume modeling

Identifiers

PMID37067383
PMCPMC10134489

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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.