Long-term natural streamflow forecasting under drought scenarios using data-intelligence modeling

Long-term natural streamflow forecasting under drought scenarios using data-intelligence modeling

Long-term river streamflow prediction and modeling are essential for water resource management and decision-making related to water resources. This research paper considers the importance of these predictions and proposes a model to address scarcity scenarios to support decision-making in water allo...

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Bibliographic Details
Main Authors: Lavínia D. Balthazar, Felix Miranda, Vinícius B.R. Cândido, Priscila Capriles, Marconi Moraes, CelsoB.M. Ribeiro, Geane Fayer, Leonardo Goliatt
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-01-01
Series:Water Cycle
Subjects:
Streamflow forecasting
Machine learning pipelines
Piracicaba river
Online Access:http://www.sciencedirect.com/science/article/pii/S2666445324000242
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