Water Level Forecasting Using Deep Learning Time-Series Analysis: A Case Study of Red River of the North

Water Level Forecasting Using Deep Learning Time-Series Analysis: A Case Study of Red River of the North

The Red River of the North is vulnerable to floods, which have caused significant damage and economic loss to inhabitants. A better capability in flood-event prediction is essential to decision-makers for planning flood-loss-reduction strategies. Over the last decades, classical statistical methods...

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Bibliographic Details
Main Authors: Vida Atashi, Hamed Taheri Gorji, Seyed Mojtaba Shahabi, Ramtin Kardan, Yeo Howe Lim
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Water
Subjects:
flood prediction
water level
Red River
SARIMA
RF
LSTM
Online Access:https://www.mdpi.com/2073-4441/14/12/1971

Internet

https://www.mdpi.com/2073-4441/14/12/1971

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