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Title: SPATIAL AND MULTIANNUAL ALTERATION OF WAVE EXPOSURE ALONG THE BULGARIAN COAST AS INFERRED BY NUMERICAL MODELLING OF WAVE ENERGY TRANSPORT
SPATIAL AND MULTIANNUAL ALTERATION OF WAVE EXPOSURE ALONG THE BULGARIAN COAST AS INFERRED BY NUMERICAL MODELLING OF WAVE ENERGY TRANSPORT

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Nikolay Valchev; Nataliya Andreeva; Bogdan Prodanov; Nadezhda Valcheva; Petya Eftimova
10.5593/sgem2023/3.1/s12.18
10.5593/sgem2023/3.1
1314-2704
978-619-7603-58-3
English
23
3.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Hydrology and Water Resources
Knowledge of the coastal hydrodynamics, in particular the storm induced waves, is essential for management of the extremely vulnerable coastal environment. There, wave processes dominate surge, coastal currents, sediment transport and species distribution. Therefore, it is important to have a detailed insight into the exposure of different coastal areas to wave action. The study proposes a wave exposure classification of the Bulgarian Black Sea coast according to wave climate conditions as required by the Water Framework Directive (WFD), which focuses on ensuring good qualitative and quantitative state of water resources and ecosystems. To this end, the coast was divided into twenty-five coastal units while the applied methodology is based on numerical modelling of wave processes employing the third-generation SWAN wave model forced by wind fields spanning the period 2007-2018. The energy transport (power) of waves entering the coastal environment was estimated, which is considered an indicator for wave exposure. Furthermore, the study period is divided into two 6-year cycles, which allowed for capturing of the climatic wave fields alteration thus enabling to detect possible climate change effects. Spatial alteration of the energy transport maxima and, accordingly, wave exposure is reviewed. Results show that the northern most, middle and southern parts of the coast are the most exposed to wave action. The coastal orography, shore geographical orientation and beach slope depth have a foremost importance for the exposure type. When using the numerical modelling tools these factors are accounted for with the required level of accuracy.
[1] Underwood A. J., Physical disturbances and their direct effect on an indirect effect: responses of an intertidal assemblage to a severe storm, J. of Exp. Marine Biology and Ecology, vol. 232/issue 1, pp 125-140, 1999, doi: 10.1016/S0022-0981(98)00105-1
[2] Rattray A, Ierodiaconou D., Womersley T., Wave exposure as a predictor of benthic habitat distribution on high energy temperate reefs, Front. Mar. Sci., vol. 2/issue 8, 2015, doi: 10.3389/fmars.2015.00008
[3] Krumhansl K.A., Dowd M., Wong M.C., Multiple metrics of temperature, light, and water motion drive gradients in Eelgrass productivity and resilience, Front. Mar. Sci., vol. 8, pp 1-20, 2021
[4] Frey D.L., Gagnon P., Thermal and hydrodynamic environments mediate individual and aggregative feeding of a functionally important omnivore in reef communities, PLoS One, vol. 10, pp 1-28, 2015
[5] Lader P., Kristiansen D., Alver M., Bjelland H.V., Myrhaug D., Classification of aquaculture locations in Norway with respect to wind wave exposure, In: Proc. of the ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering, Trondheim, Norway, 2017.
[6] Hatcher S.V., Forbes D.L., Exposure to coastal hazards in a rapidly expanding northern urban centre, Iqaluit, Nunavut. Arctic, vol. 68, pp 453-471, 2015
[7] Hiscock, K., Seas and islands, Readers Digest, 1990
[8] Is?us M., Rygg B., Wave exposure calculations for the Finnish coast, NIVA Research report 5075, p 24, 2005 (https://niva.brage.unit.no/nivaxmlui/ handle/11250/212934)
[9] U.S. Climate Resilience Toolkit, Wave Exposure Model, https://toolkit.climate.gov/tool/wave-exposure-model (Last modified 21 June 2021)
[10] O'Brien J.M., Wong M.C., Stanley R.E., A relative wave exposure index for the coastal zone of the Scotian Shelf-Bay of Fundy Bioregion. Collection, 2022, doi: 10.6084/m9.figshare.c.5433567,
[11] Seibt C., Peeters F., Graf M., Sprenger M., Hofmann H., Modelling wind waves and wave exposure of nearshore zones in medium-sized lakes, Limnology and Oceanography, vol. 58/issue 1, pp 23–36, 2013, https://www.jstor.org/stable/26955268
[12] Valchev N., Andreeva N., Prodanov B., Study on wave exposure of Bulgarian Black Sea coast, Proc. 12th Int. Conference on Marine Science and Technology "Black Sea" 2014, Varna, pp 175-182, ISSN 1314-0957, 2014
[13] SWAN Team, SWAN Cycle III version 41.31, User Manual, Delft University of Technology, Delft, The Netherlands, 2021
The study has been performed within the project “Coastal HYdro-Morphological Regime changes in mAn-modified environment – CHYMERA”, funded by Bulgarian National Science Fund under the Ministry of Education and Science of Republic of Bulgaria, Contract No КП-06-Н54/8/01.12.2021.
conference
https://doi.org/10.5593/sgem2023/3.1/s12.18
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Proceedings of 23rd International Multidisciplinary Scientific GeoConference SGEM 2023
23rd International Multidisciplinary Scientific GeoConference SGEM 2023, 03 - 09 July, 2023
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian 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; Russian Acad Arts; Turkish Acad Sci.
149-158
03 - 09 July, 2023
website
9141
wave exposure, Water Framework Directive, wave modelling, wave energy transport, Black Sea