Dam inflow prediction using large-scale climate variability and deep learning approach: a case study in South Korea

• Published in: Water Supply
• Main Authors: Heechan Han, Donghyun Kim, Wonjoon Wang, Hung Soo Kim
• Format: Article in Journal/Newspaper
• Language: English
• Published: IWA Publishing 2023
• Subjects: deep learning algorithm; large-scale climate variability; monthly dam inflow prediction; Water supply for domestic and industrial purposes; TD201-500; River; lake; and water-supply engineering (General); TC401-506; Pacific; Soi; North Atlantic; North Atlantic oscillation
• Online Access: https://doi.org/10.2166/ws.2023.012; https://doaj.org/article/93d0931f12be44e7a358790b467cb0b4

Accurate prediction of dam inflows is essential for effective water resources management in terms of both water quantity and quality. This study aims to develop a Long Short-Term Memory (LSTM) deep learning-based monthly dam inflow prediction model using large-scale climate indices. Six climate indi...