A dynamic model integrating ensemble particle filtering and gradient boosting decision tree algorithms for urban flood forecasting.

Xu H, Yin M, Wang H, Liang Q, Ma C, Yang C

Open source

DOI
10.1016/j.watres.2026.126562
Published
2026 Jul 24
Container
Water research
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.watres.2026.126562,
  title = {A dynamic model integrating ensemble particle filtering and gradient boosting decision tree algorithms for urban flood forecasting.},
  author = {Xu H and Yin M and Wang H and Liang Q and Ma C and Yang C},
  year = {2026},
  journal = {Water research},
  doi = {10.1016/j.watres.2026.126562},
  url = {https://doi.org/10.1016/j.watres.2026.126562}
}

RIS

TY  - JOUR
TI  - A dynamic model integrating ensemble particle filtering and gradient boosting decision tree algorithms for urban flood forecasting.
AU  - Xu H
AU  - Yin M
AU  - Wang H
AU  - Liang Q
AU  - Ma C
AU  - Yang C
PY  - 2026
JO  - Water research
DO  - 10.1016/j.watres.2026.126562
UR  - https://doi.org/10.1016/j.watres.2026.126562
ER  -

APA

H, X., M, Y., H, W., Q, L., C, M., & C, Y. (2026). A dynamic model integrating ensemble particle filtering and gradient boosting decision tree algorithms for urban flood forecasting.. Water research. https://doi.org/10.1016/j.watres.2026.126562

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