A catalogue of the flood forecasting practices in the Danube River Basin-Reference-Cited by-同舟云学术

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A catalogue of the flood forecasting practices in the Danube River Basin

Published:2021-06-14 Issue:7 Volume:37 Page:909-918
ISSN:1535-1459
Container-title:River Research and Applications
language:en
Short-container-title:River Res Applic

Author:

Bezak Nejc¹,Petan Sašo¹²,Kobold Mira¹²,Brilly Mitja¹,Bálint Zoltán³,Balabanova Snezhanka⁴,Cazac Valeriu⁵,Csík András⁶,Godina Reinhold⁷,Janál Petr⁸,Klemar Željka⁹,Kopáčiková Eva¹⁰,Liedl Philipp¹¹,Matreata Marius¹²,Korniienko Viktoriia¹³,Vladiković Dejan¹⁴,Šraj Mojca¹

Affiliation:

1. Faculty of Civil and Geodetic Engineering University of Ljubljana Ljubljana Slovenia

2. Slovenian Environment Agency Ljubljana Slovenia

3. VIZITERV Environ Ltd. Nyíregyháza Hungary

4. National Institute of Meteorology and Hydrology Sofia Bulgaria

5. State Hydrometeorological Service Chișinău Moldova

6. General Directorate of Water Management Budapest Hungary

7. Federal Ministry for Sustainability and Tourism Vienna Austria

8. Czech Hydrometeorological Institute Praha 4 Czech Republic

9. Croatian Meteorological and Hydrological Service Zagreb Croatia

10. Slovak Hydrometeorological Institute Bratislava Slovakia

11. STASA Steinbeis Angewandte Systemanalyse GmbH Stuttgart Germany

12. National Institute of Hydrology and Water Management București Romania

13. Ukrainian Hydrometeorological Center of the State Emergency Service of Ukraine Kyiv Ukraine

14. Republic Hydrometeorological Service of Serbia Belgrade Serbia

Funder

Javna Agencija za Raziskovalno Dejavnost RS

Publisher

Wiley

Subject

General Environmental Science,Water Science and Technology,Environmental Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rra.3826

Reference31 articles.

1. Flood Forecasting in the United States NOAA/National Weather Service

2. A guide to good practice in modeling semantics for authors and referees

3. Changing climate both increases and decreases European river floods

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1. Water level prediction using long short-term memory neural network model for a lowland river: a case study on the Tisza River, Central Europe;Environmental Sciences Europe;2023-11-04

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