Forecasting the spring flood of rivers with machine learning methods

The subject of the research. The paper provides an overview of a flood forecasting problem in the Nenetsky region, Russia. The solution involves the use of the open source data on water level during the spring floods. Specifically, its collection, analysis and forecasting via machine learning models...

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Bibliographic Details
Main Authors: Nikita I. Kulin, Evgeniy A. Kozlov, Yulia A. Zhuk
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2021-02-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
Online Access:https://ntv.ifmo.ru/file/article/20193.pdf