LSTM-Based Model for Predicting Inland River Runoff in Arid Region: A Case Study on Yarkant River, Northwest China

LSTM-Based Model for Predicting Inland River Runoff in Arid Region: A Case Study on Yarkant River, Northwest China

Inland river runoff variations in arid regions play a decisive role in maintaining regional ecological stability. Observation data of inland river runoff in arid regions have short time series and imperfect attributes due to limitations in the terrain environment and other factors. These shortages n...

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Bibliographic Details
Main Authors: Jiaxin Li, Kaixuan Qian, Yuan Liu, Wei Yan, Xiuyun Yang, Geping Luo, Xiaofei Ma
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Water
Subjects:
deep learning
Long-Short Term Memory (LSTM)
inland river in arid region
runoff prediction
water resource management
Online Access:https://www.mdpi.com/2073-4441/14/11/1745

Internet

https://www.mdpi.com/2073-4441/14/11/1745

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