Revealing the spatiotemporal drivers of coastal deoxygenation with a novel AI reconstruction framework.

Zhang M, Zhuang Y, Wong KTM, He Y, Leung KMY, Tong X

DOI: 10.1016/j.watres.2026.127144
Published: 2026 Oct 13
Container: Water research
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.watres.2026.127144,
  title = {Revealing the spatiotemporal drivers of coastal deoxygenation with a novel AI reconstruction framework.},
  author = {Zhang M and Zhuang Y and Wong KTM and He Y and Leung KMY and Tong X},
  year = {2026},
  journal = {Water research},
  doi = {10.1016/j.watres.2026.127144},
  url = {https://doi.org/10.1016/j.watres.2026.127144}
}

RIS

TY  - JOUR
TI  - Revealing the spatiotemporal drivers of coastal deoxygenation with a novel AI reconstruction framework.
AU  - Zhang M
AU  - Zhuang Y
AU  - Wong KTM
AU  - He Y
AU  - Leung KMY
AU  - Tong X
PY  - 2026
JO  - Water research
DO  - 10.1016/j.watres.2026.127144
UR  - https://doi.org/10.1016/j.watres.2026.127144
ER  -

APA

M, Z., Y, Z., KTM, W., Y, H., KMY, L., & X, T. (2026). Revealing the spatiotemporal drivers of coastal deoxygenation with a novel AI reconstruction framework.. Water research. https://doi.org/10.1016/j.watres.2026.127144

Source records

pubmed · retrieved 2026-11-10T13:32:44.952Z