Short-Term River Flood Forecasting Using Composite Models and Automated Machine Learning: The Case Study of Lena River

Short-Term River Flood Forecasting Using Composite Models and Automated Machine Learning: The Case Study of Lena River

The paper presents a hybrid approach for short-term river flood forecasting. It is based on multi-modal data fusion from different sources (weather stations, water height sensors, remote sensing data). To improve the forecasting efficiency, the machine learning methods and the Snowmelt-Runoff physic...

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Bibliographic Details
Main Authors: Mikhail Sarafanov, Yulia Borisova, Mikhail Maslyaev, Ilia Revin, Gleb Maximov, Nikolay O. Nikitin
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Water
Subjects:
flood forecasting
automated machine learning
composite artificial intelligence
Online Access:https://www.mdpi.com/2073-4441/13/24/3482

Internet

https://www.mdpi.com/2073-4441/13/24/3482

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