Enhancing urban flood risk assessment: A PCA-integrated deep learning surrogate for hazard and damage prediction.
- DOI
- 10.1016/j.watres.2026.127064
- Published
- 2026 Oct 2
- Container
- Water research
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.watres.2026.127064,
title = {Enhancing urban flood risk assessment: A PCA-integrated deep learning surrogate for hazard and damage prediction.},
author = {Moon H and Kim KT and Kim G},
year = {2026},
journal = {Water research},
doi = {10.1016/j.watres.2026.127064},
url = {https://doi.org/10.1016/j.watres.2026.127064}
}RIS
TY - JOUR TI - Enhancing urban flood risk assessment: A PCA-integrated deep learning surrogate for hazard and damage prediction. AU - Moon H AU - Kim KT AU - Kim G PY - 2026 JO - Water research DO - 10.1016/j.watres.2026.127064 UR - https://doi.org/10.1016/j.watres.2026.127064 ER -
APA
H, M., KT, K., & G, K. (2026). Enhancing urban flood risk assessment: A PCA-integrated deep learning surrogate for hazard and damage prediction.. Water research. https://doi.org/10.1016/j.watres.2026.127064
Source records
- pubmed · retrieved 2026-11-10T12:42:44.459Z