izpis_h1_title_alt

A catalogue of the flood forecasting practices in the Danube River Basin
ID Bezak, Nejc (Avtor), ID Petan, Sašo (Avtor), ID Kobold, Mira (Avtor), ID Brilly, Mitja (Avtor), ID Bálint, Zoltán (Avtor), ID Balabanova, Snezhanka (Avtor), ID Cazac, Valeriu (Avtor), ID Csík, András (Avtor), ID Godina, Reinhold (Avtor), ID Janál, Petr (Avtor), ID Klemar, Željka (Avtor), ID Kopáčiková, Eva (Avtor), ID Liedl, Philipp (Avtor), ID Matreata, Marius (Avtor), ID Korniienko, Viktoriia (Avtor), ID Vladiković, Dejan (Avtor), ID Šraj, Mojca (Avtor)

URLURL - Izvorni URL, za dostop obiščite https://onlinelibrary.wiley.com/doi/10.1002/rra.3826 Povezava se odpre v novem oknu
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Izvleček
Floods are one of the most devastating natural disasters that can cause large economic damage and endanger human lives. Flood forecasting is one of the flood risk mitigation measures serving to protect human lives and social estate. The Danube River Basin (DRB) is the world's most international river basin, flowing through the territory of 19 countries, covering more than 800,000%km2. The frequency of floods in the DRB increased in the last decades, urging the need for a more effective and harmonized regional and cross-border cooperation in the field of flood forecasting. Reliable and comprehensive hydrologic data are the basis of flood forecasting. This paper provides an overview of the national flood forecasting systems in the DRB. Detailed information about meteorological and hydrological measurements, flood modelling, forecasting, and flood warnings is provided for 12 countries that cover almost 95% of the total DRB area. Notably, significant differences exist among the countries in terms of the measuring network density, the models used as well as forecasting and warnings methodology. These differences can be attributed to the geographical and climatological setting, political situation, historical forecasting development, etc. It can be seen that there is still much room left for improvements of measurement networks (e.g., density, measured parameters) and models used that could be improved to enhance the flood forecasting in the DRB.

Jezik:Angleški jezik
Ključne besede:hydrology, Danube River Basin, data, flood forecasting, models, monitoring
Vrsta gradiva:Znanstveno delo
Tipologija:1.02 - Pregledni znanstveni članek
Organizacija:FGG - Fakulteta za gradbeništvo in geodezijo
Status publikacije:Objavljeno
Različica publikacije:Recenzirani rokopis
Poslano v recenzijo:26.01.2021
Datum sprejetja članka:13.05.2021
Datum objave:14.06.2021
Leto izida:2021
Št. strani:Str. 909-918
Številčenje:Letn. 37, št. 7
PID:20.500.12556/RUL-127638 Povezava se odpre v novem oknu
UDK:556.1
ISSN pri članku:1535-1459
DOI:10.1002/rra.3826 Povezava se odpre v novem oknu
COBISS.SI-ID:67008771 Povezava se odpre v novem oknu
Datum objave v RUL:17.06.2021
Število ogledov:936
Število prenosov:264
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:River research and applications
Skrajšan naslov:River res. appl.
Založnik:John Wiley & Sons
ISSN:1535-1459
COBISS.SI-ID:2349153 Povezava se odpre v novem oknu

Licence

Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.
Začetek licenciranja:14.06.2021

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:hidrologija, porečje Donave, podatki, napovedovanje poplav, modeli, monitoring

Projekti

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:P2-0180
Naslov:Vodarstvo in geotehnika: orodja in metode za analize in simulacije procesov ter razvoj tehnologij.

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