Determination of Wave Parameters of Bandirma Bay Using Wave Prediction Methods

Abstract

Coasts are region with complex dynamics where the interaction of air, sea, and land is effectively perceived. The wave height is the most important parameter that affects the coastal zone, and the most important parameter of coastal engineering problems. For this reason, wave statistics and wave height estimation are important. In our country, Türkiye, as in the world, wave predictions are based on wind measurements or wind models. However, since there is no measure wave data that can be used in wave climate studies on the Turkish coasts and since the study has just started, wave models are obtained by various methos in the design process. In this study, wave prediction for Bandirma Bay was carried out with the methods in the literature (CEM, JONSWAP, SMB, WILSON) by using the 12-month hourly average wind speed data of the State Meteorological Service for 1991, and the results were discussed and compared with the literature studies.

Keywords

• Bandirma Bay
• CEM
• JONSWAP
• SMB
• WILSON
• Wave prediction

DALGA TAHMİN YÖNTEMLERİ KULLANILARAK BANDIRMA KÖRFEZİ İÇİN DALGA PARAMETRELERİNİN BELİRLENMESİ

Abstract

Kıyılar; hava, deniz ve kara etkileşimlerinin etkin bir şekilde gözlemlendiği karmaşık dinamiklere sahip bölgelerdir. Belirgin dalga yüksekliği, bir kıyı bölgesini etkileyen en önemli paramatredir. bu parameter kıyı ve liman müühendislikleri problemleri için de büyük önem arz etmektedir. Bu nedenle dalga istatistikleri ve dalga yüksekliği tahmini önemlidir. Ülkemizde de dünyada olduğu gibidalga tahminleri rüzgâr ölçümlerine veya rüzgâr modellerine dayanmaktadır. Aancak, ülkemiz kıyılarında dalga iklimi çalışmalarında kullanılabilecek ölçülmüş dalga verisi olmadığından ve bu tarz çalışmalar yeni başladığından, kıyı yapıları tasrım sürecinde çeşitli yöntemlerle dalga modelleri elde edilmektedir. Gerçekleştirilen bu çalışmada, Bandırma için ölçülen Devlet Meteoroloji İşleri Genel Müdürlüğü’nün 1991 yılına ait 12 aylık saatlik ortalama rüzgâr şiddeti verileri kullanılarak literatürdeki CEM, JONSWAP, SMB, WILSON gibi dalga tahmini yöntemleri kullanılarak Bandırma körfezi için dalga tahmini gerçekleştirilmiş ve literatür çalışmaları ile sonuçlar karşılaştırılmıştır.

Keywords

• Bandırma Körfezi
• CEM
• Dalga tahmini
• JONSWAP
• SMB
• WILSON

References

1. Erkurtulmus, SA, Yahsi, M., Pesman. E. Wave estimation methos for Bandirma bay. International Symposium of Bandırma and Its Surroundings- UBS'19. Bandırma, 2019.
2. Berbić, J, Ocvirk, E, Carević, D, Lončar, G. Application of neural networks and support vector machine for significant wave height prediction. Oceanologia. 2017;59(3):331-349.
3. Bretschneider, CL, Tamaye, EE. Hurricane wind and wave forecasting techniques. Coastal Engineering. 1976:202-237.
4. Wilson, B. Seiches. Advences in Hydroscience. 1972;8:1-94.
5. Hasselmann K, Barnett, T, Bouws, E, Carlson, H, Cartwright, D, Enke, K, et al. Measurements of wind-wave growth and swell decay during the Joint North Sea Wave Project (JONSWAP). Deutschen Hydrographischen Zeitschrift; 1973.
6. Donelan, MA, Waters, CCINWR. Similarity Theory Applied to the Forecasting of Wave Heights, Periods and Directions. National Water Research Institute; 1980.
7. USACE. Shore protection manual us army corps. Coastal Engineering. 1984;4(2):652.
8. USACE. Coastal engineering manual. 2006.

9. Demir, EN, Savran, H, Otay, S. Bandırma Alternative Coastal Fill Project Feasibility Study. 3rd National Coastal Engineering Symposium. Bandırma: 2000: p.1-15.
10. Kenisarin, M, Karslı, VM, Caglar, M. Wind power engineering in the world and perspectives of its development in Turkey. Renewable Sustainable Energy Revolotion. 2006;10(4):341-369.
11. Akdag, S, Dinler, S, Menteş, A. Analysis of wind energy characteristic for Bandırma. 4th Renewable Energy Sources Symposium. 2007.
12. Yuksel, O, Cevik, Y. Coastal Engineering. Beta Publications; 2009.
13. Capanoglu, BD. Wind and wave climate research for the coastal region- Ayvalık, Bozcaada and Bandırma. [Master dissertation]. Balikesir: Balikesir University; 2015.
14. Tur, R, Soylu Pekpostalci, D, Kucukosmanoglu, A. Wave prediction methods Based on wind data in Gulf of Antalya. 9. Coastal Engineeering Symposium. 2018: p. 653-665.
15. Sverdrup, HU, Munk, WH. Wind, sea and swell: Theory of relations for forecasting. Hydrographic Office; 1947.
16. Bretschneider, CL. Forecasting relations for wave generation. Look Lab. 1970; 1(3):31-34.
17. Yuksel, Y, Cevik, E, Celikoglu, Y. Coastal and port engineering. TMMOB Publications; 1998.
18. Sahin, C. Parametric wind wave modelling: Western Black Sea case study. [Master dissertation]. Istanbul: Yildiz Technical University ; 2007.
19. Akpinar, M, Ozger, A, Komurcu, M. Comperative wave forecasting in the Black Sea: Hopa case study. 7th Coastal Engineeering Symposium. 2011: p. 281-292.
20. Erdik, T, Beji, S. Statistical analysis of wave height and wind velocity distributions for the Sea of Marmara. International Journal of Environment and Geoinformatics. 2018;5(1):6-83.
21. Sacu, S, Erdik, T, Sen, O. Comparison of simplified wave prediction methods for Sea of Marmara. 9th Coastal Engineering Symposium. 2018.
22. Kazeminezhad, MH , Etemad-Shahidi, A, Mousavi, S.J. Evaluation of neuro fuzzy and numerical wave prediction models in Lake Ontario. Journal of Coastal Research. 2007:317-321.