Abstract
Radioisotopes from the U/Th decay series are used routinely as tracers for submarine groundwater discharge (SGD) worldwide. We present the main principles of radon and radium mass-balance approaches used for quantifying SGD in coastal areas and discuss some challenges. For example, modeling exercises can substantially help interpret field measurements and reduce uncertainties. We showed how the stable isotopes of nitrogen, carbon, and pigments were used to determine the impacts of SGD's quality on coastal water and biota. Finally, we suggest that the novel deep-learning modeling approaches using radioisotopes are projected to be an important future direction in SGD research.
| Original language | American English |
|---|---|
| Title of host publication | Treatise on Geochemistry |
| Subtitle of host publication | Earth's Surface Envelope: Oceans (Volume 4) |
| Editors | Ariel Anbar, Dominique Weis, Adina Paytan |
| Publisher | Elsevier |
| Pages | 85-109 |
| Number of pages | 25 |
| Volume | 4 |
| Edition | 3rd |
| ISBN (Electronic) | 978-0323997638 |
| ISBN (Print) | 978-0323997621 |
| DOIs | |
| State | Published - 2025 |
Bibliographical note
Publisher Copyright:© 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
ASJC Scopus Subject Areas
- General Earth and Planetary Sciences
Keywords
- Machine learning in future SGD studies
- Modeling SGD
- Radiotracers: radon, radium
- SGD biological impacts
- SGD-derived emerging contaminants
- Submarine groundwater discharge (SGD)