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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