Assessing the onset of spring water-level rise in snowmelt-dominated rivers of northeastern Russia using machine learning.
- DOI
- 10.1038/s41598-026-54492-2
- Published
- 2026 May 26
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-54492-2,
title = {Assessing the onset of spring water-level rise in snowmelt-dominated rivers of northeastern Russia using machine learning.},
author = {Malashin I and Masich I and Nelyub V and Borodulin A and Gantimurov A and Tynchenko V},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-54492-2},
url = {https://doi.org/10.1038/s41598-026-54492-2}
}RIS
TY - JOUR TI - Assessing the onset of spring water-level rise in snowmelt-dominated rivers of northeastern Russia using machine learning. AU - Malashin I AU - Masich I AU - Nelyub V AU - Borodulin A AU - Gantimurov A AU - Tynchenko V PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-54492-2 UR - https://doi.org/10.1038/s41598-026-54492-2 ER -
APA
I, M., I, M., V, N., A, B., A, G., & V, T. (2026). Assessing the onset of spring water-level rise in snowmelt-dominated rivers of northeastern Russia using machine learning.. Scientific reports. https://doi.org/10.1038/s41598-026-54492-2
Source records
- pubmed · retrieved 2026-09-25T19:31:29.097Z