Enhancing flood prediction through physics-driven typhoon feature engineering and machine learning.

Zhang Z, Xiao Y, Chen B, Long K, Liang F, Liao J

DOI: 10.1371/journal.pone.0346237
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0346237,
  title = {Enhancing flood prediction through physics-driven typhoon feature engineering and machine learning.},
  author = {Zhang Z and Xiao Y and Chen B and Long K and Liang F and Liao J},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0346237},
  url = {https://doi.org/10.1371/journal.pone.0346237}
}

RIS

TY  - JOUR
TI  - Enhancing flood prediction through physics-driven typhoon feature engineering and machine learning.
AU  - Zhang Z
AU  - Xiao Y
AU  - Chen B
AU  - Long K
AU  - Liang F
AU  - Liao J
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0346237
UR  - https://doi.org/10.1371/journal.pone.0346237
ER  -

APA

Z, Z., Y, X., B, C., K, L., F, L., & J, L. (2026). Enhancing flood prediction through physics-driven typhoon feature engineering and machine learning.. PloS one. https://doi.org/10.1371/journal.pone.0346237

Source records

pubmed · retrieved 2026-09-25T12:18:22.412Z