A Transfer Learning Approach Based on Radar Rainfall for River Water-Level Prediction

A Transfer Learning Approach Based on Radar Rainfall for River Water-Level Prediction

River water-level prediction is crucial for mitigating flood damage caused by torrential rainfall. In this paper, we attempt to predict river water levels using a deep learning model based on radar rainfall data instead of data from upstream hydrological stations. A prediction model incorporating a...

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Bibliographic Details
Main Authors: Futo Ueda, Hiroto Tanouchi, Nobuyuki Egusa, Takuya Yoshihiro
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Water
Subjects:
water-level prediction
flood
transfer learning
CNN-LSTM
radar rainfall
Online Access:https://www.mdpi.com/2073-4441/16/4/607

Internet

https://www.mdpi.com/2073-4441/16/4/607

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