Modeling seawater intrusion along the Alabama coastline using physical and machine learning models to evaluate the effects of multiscale natural and anthropogenic stresses.
- DOI
- 10.1038/s41598-025-06613-6
- Published
- 2025-07-01
- Container
- Sci Rep
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-06613-6,
title = {Modeling seawater intrusion along the Alabama coastline using physical and machine learning models to evaluate the effects of multiscale natural and anthropogenic stresses.},
author = {Gholizadeh H and Clement TP and Green CT and Tick GR and Plattner AM and Zhang Y.},
year = {2025},
journal = {Sci Rep},
doi = {10.1038/s41598-025-06613-6},
url = {https://doi.org/10.1038/s41598-025-06613-6}
}RIS
TY - JOUR TI - Modeling seawater intrusion along the Alabama coastline using physical and machine learning models to evaluate the effects of multiscale natural and anthropogenic stresses. AU - Gholizadeh H AU - Clement TP AU - Green CT AU - Tick GR AU - Plattner AM AU - Zhang Y. PY - 2025 JO - Sci Rep DO - 10.1038/s41598-025-06613-6 UR - https://doi.org/10.1038/s41598-025-06613-6 ER -
APA
H, G., TP, C., CT, G., GR, T., AM, P., & Y., Z. (2025). Modeling seawater intrusion along the Alabama coastline using physical and machine learning models to evaluate the effects of multiscale natural and anthropogenic stresses.. Sci Rep. https://doi.org/10.1038/s41598-025-06613-6
Source records
- europe-pmc · retrieved 2026-09-26T04:32:49.226Z