Monthly stream temperatures along the Danube River: Statistical analysis and predictive modelling with incremental climate change scenarios

Comenius University in Bratislava, Faculty of Mathematics, Physics, and Informatics, Department of Applied Mathematics and Statistics, Bratislava, Slovakia

Roman Výleta

Faculty of Civil Engineering, Department of Land and Water Resources Management, Slovak University of Technology in Bratislava, Bratislava, Slovakia

Ognjen Bonacci

Faculty of Civil Engineering, Architecture and Geodesy, University of Split, Croatia

Pavol Miklánek

Slovak Academy of Sciences, Institute of Hydrology, Bratislava, Slovakia

Jörg Uwe Belz

Federal Institute of Hydrology, Koblenz, Germany

Liudmyla Gorbachova

Ukrainian Hydrometeorological Institute, Kyiv-28, Ukraine

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DOI: https://doi.org/10.2478/johh-2023-0028 | Journal eISSN: 1338-4333 | Journal ISSN: 0042-790X

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Language: English

Page range: 382 - 398

Submitted on: Mar 24, 2023

Accepted on: Sep 3, 2023

Published on: Nov 14, 2023

Published by: Slovak Academy of Sciences, Institute of Hydrology

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

SARIMA models,

Nonlinear regression models,

Water temperature changes,

Climate change,

Incremental scenarios.

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other

© 2023 Pavla Pekárová, Zbyněk Bajtek, Ján Pekár, Roman Výleta, Ognjen Bonacci, Pavol Miklánek, Jörg Uwe Belz, Liudmyla Gorbachova, published by Slovak Academy of Sciences, Institute of Hydrology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 71 (2023): Issue 4 (December 2023)