Flood risk assessment with machine learning: insights from the 2022 Pakistan mega-flood and climate adaptation strategies
- DOI
- 10.1038/s44304-025-00096-1
- Published
- 2025-05-24
- Container
- npj Natural Hazards
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s44304-025-00096-1,
title = {Flood risk assessment with machine learning: insights from the 2022 Pakistan mega-flood and climate adaptation strategies},
author = {Peng Cui and Nazir Ahmed Bazai and Zou Qiang and Wang Jiao and Wang Yan and Qingsong Xu and Lei Yu and Zhang Bo},
year = {2025},
journal = {npj Natural Hazards},
doi = {10.1038/s44304-025-00096-1},
url = {https://doi.org/10.1038/s44304-025-00096-1}
}RIS
TY - JOUR TI - Flood risk assessment with machine learning: insights from the 2022 Pakistan mega-flood and climate adaptation strategies AU - Peng Cui AU - Nazir Ahmed Bazai AU - Zou Qiang AU - Wang Jiao AU - Wang Yan AU - Qingsong Xu AU - Lei Yu AU - Zhang Bo PY - 2025 JO - npj Natural Hazards DO - 10.1038/s44304-025-00096-1 UR - https://doi.org/10.1038/s44304-025-00096-1 ER -
APA
Cui, P., Bazai, N. A., Qiang, Z., Jiao, W., Yan, W., Xu, Q., Yu, L., & Bo, Z. (2025). Flood risk assessment with machine learning: insights from the 2022 Pakistan mega-flood and climate adaptation strategies. npj Natural Hazards. https://doi.org/10.1038/s44304-025-00096-1
Source records
- crossref · retrieved 2026-11-10T20:20:18.557Z