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IMPROVED EXTREME FLOW MODELING BY RESERVOIR MANAGEMENT INPUT USING A PHYSICALLY BASED HYDROLOGICAL MODEL: A CASE STUDY OF OGOSTA RESERVOIR IN OGOSTA RIVER BASIN
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V. Yordanova;S. Stoyanova
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1314-2704
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English
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20
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3.1
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Reservoirs are important hydraulic infrastructure for water use and flood control. Their impact on the hydrological regime of rivers downstream is significant. Accurate and reliable forecasting of flows in the rivers below the reservoirs is very important in cases of extreme meteorological events (heavy rains) for flood mitigation. The evolution of physically based hydrological models in recent years significantly improved the ability to describe and represent the hydrological processes at a basin scale. This paper describes the application of the TOPKAPI model (TOPographic Kinematic APproximation and Integration) for simulating the rainfall - runoff processes in the Ogosta river catchment. TOPKAPI model is a fully-distributed, physically-based hydrological model and is widely used for continuous streamflow modelling. An anthropogenic structure as is Ogosta reservoir was implemented in the model to simulate the hydrological response along the river. The reservoir dynamic behavior was simulated using simple operating rules. Ogosta reservoir management input resulted in a better simulation of high waves downstream the reservoir both in terms of magnitude and time of occurrence. The TOPKAPI model was set up for the period 2009?2014: calibration was performed using hydrometeorological data for the period 2009?2013 and hydrometeorological data for the year 2014 was used for model validation. The TOPKAPI model makes it possible to adequately describe the operation of the reservoirs in the river catchments.
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conference
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20th International Multidisciplinary Scientific GeoConference SGEM 2020
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20th International Multidisciplinary Scientific GeoConference SGEM 2020, 18 - 24 August, 2020
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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; Russian Acad Sci; Serbian Acad Sci & Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts & Letters; Acad Fine Arts Zagreb Croatia; C
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185-192
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18 - 24 August, 2020
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website
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cdrom
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7120
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hydrology; reservoir; flow modeling; fully distributed hydrological model; TOPKAPI
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