Enhancing short-term streamflow forecasting of extreme events: A wavelet-artificial neural network hybrid approach

Enhancing short-term streamflow forecasting of extreme events: A wavelet-artificial neural network hybrid approach

Accurate short-term streamflow forecasting models are crucial for effective water resource management, enabling timely responses to extreme flood or drought events and mitigating potential socioeconomic damage. This study proposes robust hybrid Wavelet Artificial Neural Network (WANN) models for rea...

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Bibliographic Details
Main Authors: Yulia Gorodetskaya, Rodrigo Oliveira Silva, Celso Bandeira de Melo Ribeiro, Leonardo Goliatt
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-01-01
Series:Water Cycle
Subjects:
Artificial neural networks
Wavelet transform
Time series
Streamflow forecasting
Paraíba do Sul river
Extreme flows
Online Access:http://www.sciencedirect.com/science/article/pii/S266644532400028X
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http://www.sciencedirect.com/science/article/pii/S266644532400028X

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