<strong>Multivariate recursive short-term forecasting of salinity and water level using deep learning in the Sai Gon–Dong Nai river system, Vietnam</strong>

Nguyen Thi Diem Thuy

講演情報

[E] 口頭発表

セッション記号 A (大気水圏科学) » A-TT 計測技術・研究手法

[A-TT49] Machine Learning Techniques in Weather, Climate, Ocean, Hydrology and Disease Predictions

2026年5月27日(水) 15:30 〜 17:00 101 (幕張メッセ国際会議場)

座長:Martineau Patrick(Japan Agency for Marine-Earth Science and Technology)、Jayanthi Venkata Ratnam(Application Laboratory, JAMSTEC)

16:15 〜 16:30

[ATT49-10] Multivariate recursive short-term forecasting of salinity and water level using deep learning in the Sai Gon–Dong Nai river system, Vietnam

*Nguyen Thi Diem Thuy^1,2, Hiroshi Ishidaira¹ (1. University of Yamanashi, Japan, 2. University of Science, Vietnam National University Ho Chi Minh City, Vietnam)

キーワード：Long-short term memory, Grated recurrent unit, Water level forecast, Salinity forecast