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Integrating Hydrological–Hydraulic–AI (LSTM) Models for Improved Water Level Forecasting: Red River - Thai Binh Basin Cover

Integrating Hydrological–Hydraulic–AI (LSTM) Models for Improved Water Level Forecasting: Red River - Thai Binh Basin

Open Access
|Mar 2026

Authors

Tri Doan Quang

doanquangtrikttv@gmail.com

Hydrometeorological Information and Data Center, Viet Nam Meteorological and Hydrological Administration, Hanoi, Vietnam

Nhat Nguyen Van

Hydrometeorological Information and Data Center, Viet Nam Meteorological and Hydrological Administration, Hanoi, Vietnam

Tuyet Quach Thi Thanh

Hydrometeorological Information and Data Center, Viet Nam Meteorological and Hydrological Administration, Hanoi, Vietnam
DOI: https://doi.org/10.2478/cee-2026-0042 | Journal eISSN: 2199-6512 | Journal ISSN: 1336-5835
Language: English
Page range: 387 - 412
Submitted on: Sep 8, 2025
Accepted on: Sep 24, 2025
Published on: Mar 24, 2026
Published by: University of Žilina
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2026 Tri Doan Quang, Nhat Nguyen Van, Tuyet Quach Thi Thanh, published by University of Žilina
This work is licensed under the Creative Commons Attribution 4.0 License.