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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
[Image: see text] 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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134489/ https://www.ncbi.nlm.nih.gov/pubmed/37067383 http://dx.doi.org/10.1021/acs.est.3c00786 |
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author | Müller, Thomas Gros, Jonas Leibold, Patrick Al-Balushi, Hajar Petermann, Eric Schmidt, Mark Brückmann, Warner Al Kindi, Mohammed Al-Abri, Omar S. |
author_facet | Müller, Thomas Gros, Jonas Leibold, Patrick Al-Balushi, Hajar Petermann, Eric Schmidt, Mark Brückmann, Warner Al Kindi, Mohammed Al-Abri, Omar S. |
author_sort | Müller, Thomas |
collection | PubMed |
description | [Image: see text] 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., (222)Rn as groundwater tracer, in combination with numerical modeling of plume transport. The model and field data suggest that groundwater outflows from a water depth of ∼100 m can reach the sea surface implying that several cubic meters per second of freshwater are discharged into the sea. We postulate an extreme rainfall event 6 months earlier as the likely trigger for the groundwater discharge. This study shows that measurements at the sea surface, which are much easier to conduct than discharge measurements at the seafloor, can be used not only to localize submarine groundwater discharges but, in combination with plume modeling, also to estimate the magnitude of the release flow rate. |
format | Online Article Text |
id | pubmed-10134489 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-101344892023-04-28 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 Müller, Thomas Gros, Jonas Leibold, Patrick Al-Balushi, Hajar Petermann, Eric Schmidt, Mark Brückmann, Warner Al Kindi, Mohammed Al-Abri, Omar S. Environ Sci Technol [Image: see text] 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., (222)Rn as groundwater tracer, in combination with numerical modeling of plume transport. The model and field data suggest that groundwater outflows from a water depth of ∼100 m can reach the sea surface implying that several cubic meters per second of freshwater are discharged into the sea. We postulate an extreme rainfall event 6 months earlier as the likely trigger for the groundwater discharge. This study shows that measurements at the sea surface, which are much easier to conduct than discharge measurements at the seafloor, can be used not only to localize submarine groundwater discharges but, in combination with plume modeling, also to estimate the magnitude of the release flow rate. American Chemical Society 2023-04-17 /pmc/articles/PMC10134489/ /pubmed/37067383 http://dx.doi.org/10.1021/acs.est.3c00786 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Müller, Thomas Gros, Jonas Leibold, Patrick Al-Balushi, Hajar Petermann, Eric Schmidt, Mark Brückmann, Warner Al Kindi, Mohammed Al-Abri, Omar S. 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134489/ https://www.ncbi.nlm.nih.gov/pubmed/37067383 http://dx.doi.org/10.1021/acs.est.3c00786 |
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