A machine learning-assisted integrated framework for linking water quality and phytoplankton carbon fixation potential in drinking water reservoirs.
- DOI
- 10.1016/j.watres.2026.126104
- Published
- 2026 Sep 1
- Container
- Water research
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.watres.2026.126104,
title = {A machine learning-assisted integrated framework for linking water quality and phytoplankton carbon fixation potential in drinking water reservoirs.},
author = {Tong X and Zhang X and Xiao S and Chen J and Zhou C and Zhou J and Zhou X and Zhang Y},
year = {2026},
journal = {Water research},
doi = {10.1016/j.watres.2026.126104},
url = {https://doi.org/10.1016/j.watres.2026.126104}
}RIS
TY - JOUR TI - A machine learning-assisted integrated framework for linking water quality and phytoplankton carbon fixation potential in drinking water reservoirs. AU - Tong X AU - Zhang X AU - Xiao S AU - Chen J AU - Zhou C AU - Zhou J AU - Zhou X AU - Zhang Y PY - 2026 JO - Water research DO - 10.1016/j.watres.2026.126104 UR - https://doi.org/10.1016/j.watres.2026.126104 ER -
APA
X, T., X, Z., S, X., J, C., C, Z., J, Z., X, Z., & Y, Z. (2026). A machine learning-assisted integrated framework for linking water quality and phytoplankton carbon fixation potential in drinking water reservoirs.. Water research. https://doi.org/10.1016/j.watres.2026.126104
Source records
- pubmed · retrieved 2026-09-26T22:44:51.904Z