Modeling flood zones on the basis of time series forecasting and GIS-technologies by the example of the Republic of Bashkortostan

Modeling flood zones on the basis of time series forecasting and GIS-technologies by the example of the Republic of Bashkortostan

Abstract: A specialized GIS Web is proposed, implemented by integrating an artificial neural network and geotechnologies and providing early forecasting and modeling of flood zones up to five days in advance. The methods and algorithms implemented within this GIS Web allow daily forecasting o...

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Bibliographic Details
Main Authors: E.V. Palchevsky, V.V. Antonov, L.E. Rodionova, L.A. Kromina, A.R. Fakhrullina
Format: Article
Language:English
Published: Samara National Research University 2024-12-01
Series:Компьютерная оптика
Subjects:
geographic information system
flood zone modelling
time series forecasting
artificial neural networks.
Online Access:https://www.computeroptics.ru/eng/KO/Annot/KO48-6/480613e.html
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