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dc.contributor.authorВолчек, Александр Александрович
dc.contributor.authorСидак, Светлана Васильевна
dc.contributor.authorПарфомук, Сергей Иванович
dc.coverage.spatialТбилисиru_RU
dc.date.accessioned2025-10-13T14:11:10Z
dc.date.available2025-10-13T14:11:10Z
dc.date.issued2021
dc.identifier.citationVolchak, A. A two-stage hybrid model for hydrological time series forecasting / A. Volchak, S. Sidak, S. Parfomuk. – Text : direct // Modern problems of water management, environmental protection, architecture and construction : 10th International scientific and technical conference, Tbilisi, 25–27 July 2021 : dedicated to the 100 anniversary of the academician Ts. Mirtskhulava / Ministry of education and science of Georgia, Tsotne Mirtskhulava water management institute, Of Georgian technical university, Ecocenter for environmental protection. – Tbilisi, 2021. – Р. 219–228. – Bibliography: 10 titles.ru_RU
dc.identifier.urihttps://rep.bstu.by/handle/data/49849
dc.description.abstractA model based on the combined use of the empirical mode decomposition (EMD) method and the autoregressive integrated moving average (ARIMA) model is proposed to obtain forecast estimates of the maximum river runoff. The analysis and comparison of the results of modelling the maximum water runoff of the Dnieper River at the Rechitsa station allow concluding that the use of the hybrid EMD-ARIMA model is preferable to the classical ARIMA model. The decomposition approach of forecasting maximum water runoff series of the spring flood allows to take into account all its local features, internal structure, as well as abnormal discharges.ru_RU
dc.language.isoenru_RU
dc.titleA two-stage hybrid model for hydrological time series forecastingru_RU
dc.typeНаучный доклад (Working Paper)ru_RU


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