Mid- to Long-Term Runoff Prediction Based on Deep Learning at Different Time Scales in the Upper Yangtze River Basin

Mid- to Long-Term Runoff Prediction Based on Deep Learning at Different Time Scales in the Upper Yangtze River Basin

Deep learning models are essential tools for mid- to long-term runoff prediction. However, the influence of the input time lag and output lead time on the prediction results in deep learning models has been less studied. Based on 290 schemas, this study specified different time lags by sliding windo...

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Bibliographic Details
Main Authors: Yuanxin Ren, Sidong Zeng, Jianwei Liu, Zhengyang Tang, Xiaojun Hua, Zhenghao Li, Jinxi Song, Jun Xia
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Water
Subjects:
mid- to long-term runoff prediction
deep learning models
time lag
lead time
Online Access:https://www.mdpi.com/2073-4441/14/11/1692

Internet

https://www.mdpi.com/2073-4441/14/11/1692

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