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HYDROLOGICAL FORECASTING AND ACTIVITIES IN BULGARIA IN THE FRAMEWORK OF THE DAREFFORT PROJECT
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Snezhanka Balabanova; Silviya Stoyanova; Vesela Stoyanova; Georgy Koshinchanov; Valeriya Yordanova
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10.5593/sgem2022/3.1
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1314-2704
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English
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22
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3.1
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• Prof. DSc. Oleksandr Trofymchuk, UKRAINE
• Prof. Dr. hab. oec. Baiba Rivza, LATVIA |
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Floods are the most frequent and widespread natural disasters worldwide (WMO, 2013). In 2006 for instance, exceptionally high river levels caused loss of lives and considerable economic losses in Serbia, Bulgaria and Romania. Thus risk prevention strategies were reconsidered and the need for common solutions for the Danubian countries was outlined.
Non-structural measures to mitigate flood risk as is the improvement of forecasting capabilities on a basin-wide scale are known to be highly effective. The DAREFFORT project is a horizontal initiative to implement a flood risk mitigation measure in a joint and sustainable way on catchment level. The main output was the Danube Region Enhanced Flood Forecasting Cooperation that was a step towards creating the basis of ICPDR Danube Hydrologic Information System (HIS). This was only reached through a standardized data format utilized by the responsible national organizations and improved data exchange between the participating countries as reliable and comprehensive hydrologic data is the basis of sound forecasting in any country. In this paper the Bulgarian experience and contribution to the DAREFFORT project is presented. This study is aimed at overviewing the present status of the national forecasting capabilities and main topics are the process of the hydrological forecasting, data flow, data processing and data exchange. |
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conference
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Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM 2022
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22nd International Multidisciplinary Scientific GeoConference SGEM 2022, 04 - 10 July, 2022
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference SGEM
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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Turkish Acad Sci.
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105-112
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04 - 10 July, 2022
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website
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8532
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hydrological forecasting; data flow; database; DAREFFORT project; Danube HIS
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