Data-intelligence-driven flood forecasting and early warning in a small river basin: A BiLSTM model integrated with the “631” response mechanism
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Authors
- Longhui Zhu
- Yi Liu (ORCID: https://orcid.org/0000-0002-5879-7118)
- Xiaohua Xu
- Peisheng Yang (ORCID: https://orcid.org/0009-0000-3556-4963)
- Meilan Shao
Institutions
- Defense Information Systems Agency (US)
- Jiangxi Academy of Environmental Sciences (CN)
- Jiangxi College of Applied Technology (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2026-08-28
- DOI
- https://doi.org/10.1371/journal.pone.0357040
- Primary Topic
- Meteorological Phenomena and Simulations
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Changjiang River Scientific Research Institute
- Water Conservancy Science and Technology Project of Jiangsu Province