A novel hybrid XAJ-LSTM model for multi-step-ahead flood forecasting

A novel hybrid XAJ-LSTM model for multi-step-ahead flood forecasting

The conceptual hydrologic model has been widely used for flood forecasting, while long short-term memory (LSTM) neural network has been demonstrated a powerful ability to tackle time-series predictions. This study proposed a novel hybrid model by combining the Xinanjiang (XAJ) conceptual model and L...

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Bibliographic Details
Main Authors: Zhen Cui, Yanlai Zhou, Shenglian Guo, Jun Wang, Huanhuan Ba, Shaokun He
Format: Article
Language:English
Published: IWA Publishing 2021-12-01
Series:Hydrology Research
Subjects:
conceptual model
flood forecast
hybrid model
long short-term memory
machine learning
Online Access:http://hr.iwaponline.com/content/52/6/1436

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