Environmentally constrained machine learning uncovers climate-driven optical-molecular coupling and turnover of dissolved organic matter.
- DOI
- 10.1016/j.watres.2026.126961
- Published
- 2026 Sep 16
- Container
- Water research
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.watres.2026.126961,
title = {Environmentally constrained machine learning uncovers climate-driven optical-molecular coupling and turnover of dissolved organic matter.},
author = {Zhuo T and Li G and Men Z and Chai B and Li Y and Niu F and He L and Li MH and Liu J and Liu H and Lei X and Li M and Chen B and You XY},
year = {2026},
journal = {Water research},
doi = {10.1016/j.watres.2026.126961},
url = {https://doi.org/10.1016/j.watres.2026.126961}
}RIS
TY - JOUR TI - Environmentally constrained machine learning uncovers climate-driven optical-molecular coupling and turnover of dissolved organic matter. AU - Zhuo T AU - Li G AU - Men Z AU - Chai B AU - Li Y AU - Niu F AU - He L AU - Li MH AU - Liu J AU - Liu H AU - Lei X AU - Li M AU - Chen B AU - You XY PY - 2026 JO - Water research DO - 10.1016/j.watres.2026.126961 UR - https://doi.org/10.1016/j.watres.2026.126961 ER -
APA
T, Z., G, L., Z, M., B, C., Y, L., F, N., L, H., MH, L., J, L., H, L., X, L., M, L., B, C., & XY, Y. (2026). Environmentally constrained machine learning uncovers climate-driven optical-molecular coupling and turnover of dissolved organic matter.. Water research. https://doi.org/10.1016/j.watres.2026.126961
Source records
- pubmed · retrieved 2026-09-25T23:12:34.639Z