Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1021/acs.est.3c00786
Lizenz creative commons licence
Titel (primär) 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
Autor Müller, T.; Gros, J.; Leibold, P.; Al-Balushi, H.; Petermann, E.; Schmidt, M.; Brückmann, W.; Al Kindi, M.; Al-Abri, O.S.
Quelle Environmental Science & Technology
Erscheinungsjahr 2023
Department HDG
Band/Volume 57
Heft 16
Seite von 6540
Seite bis 6549
Sprache englisch
Topic T5 Future Landscapes
Supplements https://pubs.acs.org/doi/suppl/10.1021/acs.est.3c00786/suppl_file/es3c00786_si_001.pdf
Keywords TAMOC plume modeling; autonomous offshore surface measurement; radon Arabian coastal groundwater; cyclone rainwater infiltration
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., 222Rn 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.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=27073
Müller, T., Gros, J., Leibold, P., Al-Balushi, H., Petermann, E., Schmidt, M., Brückmann, W., Al Kindi, M., Al-Abri, O.S. (2023):
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
Environ. Sci. Technol. 57 (16), 6540 - 6549 10.1021/acs.est.3c00786