Marmara Denizinde dalga parametresi tahmini için sayısal modelin uygulanması

Abstract

Kıyı ve deniz yapılarının tasarımında en önemli faktörlerden biri dalga özelliklerinin minimum hata ile belirlenmesidir. Bu çalışmada, 1994-2014 yılları arasında Marmara Denizi'nin dalga özellikleri, üçüncü nesil spektral bir model olan MIKE 21 SW kullanılarak elde edilmiştir. Bu modelde kullanılan Rüzgâr verileri, 0.125 derecelik bir uzamsal çözünürlüğe sahip olan ECMWF ERA-Interim rüzgâr veri setidir. Sayısal model, Marmara Denizi'nde İstanbul yakınlarında bulunan Güney kıyısındaki ölçüm şamandırası ile 1 yıl (2013) için ölçülen dalga verileri ile kalibre edilmiştir. Modelin çalışma süresindeki zaman verimliliği sorununun üstesinden gelmek için sayısal ağ optimizasyonu gerçekleştirilmiştir. Bu araştırma son zamanlarda Marmara Denizi Havzası'nda dalga parametrelerinin belirlenmesi ile ilgili ilk çalışmalar arasındadır. Ayrıca, belirgin dalga yüksekliği ve dalga periyodu arasındaki ilişkiler elde edilmiştir. Sonuçlar, sayısal modelin dalga tahmin kapasitesinin tatmin edici sonuçlar verdiğini ortaya koymaktadır.

Keywords

• Marmara Denizi,MIKE 21 SW,dalga parametresi tahmini,ECMWF ERA-Interim re-analyses,sayısal ağ optimizasyonu

Application of a numerical model for wave parameter hindcasting in the Marmara Sea Basin

Abstract

One of the most important factors in design of coastal and marine structures is to determine the wave characteristics precisely. In this paper, wave characteristics of Sea of Marmara obtained during the time span between 1994 and 2014 by using the third generation spectral model MIKE 21 SW. Wind data was obtained from ECMWF ERA-Interim re-analyses wind dataset with a spatial resolution of 0.125 degree. The numerical model was calibrated with a wave data that measured for 1 year (2013) by measurement buoy on the Southern coast near the Istanbul in the Sea of Marmara. Numerical mesh optimization was also performed to obtain the most suitable domain to overcome the time efficiency problem in running time of the model. This research is recently amongst the first studies that deal with the determination of wave parameters in the Marmara Sea Basin. In addition, the relation between significant wave height and wave period is established. The results reveal that wave prediction capacity of the numerical model gives satisfactory results.

Keywords

• Sea of Marmara,MIKE 21 SW,wave parameter hindcasting,ECMWF ERA-Interim re-analyses,numerical mesh optimization

References

1. Ergin, M., Saydam, C., Basturk,O., Erdem, E. and Yoruk, R., Heavy metal concentrations in surface sediments from the twocoastal inlets (Golden Horn Estuary and Izmit Bay) of theNorth-eastern Sea of Marmara. Chemical Geology, 91, 269–285, (1991).
2. Abdollahzadehmoradi, Y., T. Erdik, M. Özger, and A. Altunkaynak, 2014. Application of MIKE 21 SW for wave hindcasting in Marmara Sea Basin for the year 2012.11th International Congress on Advances in Civil Engineering (ACE), 21-25.
3. Demyshev, S.G., Dovgaya, S.V., Numerical Experiment on the Modeling of Hydrophisical Fields of the Sea of Marmara with Bosphorus and Dardanelles straits, Marine Hydrophysical Journal, no. 3, pp. 28-42, (2007).
4. Özsoy, E., M.A. Latif, H.I. Sur, Yu. Goryachkin (1996) A review of the exchange flow regime and mixing in the Bosphorus Strait. Bulletin de l’Institut oceanographique, Monaco, no. special 17, CIESM Science Series no. 2, 187-204
5. Oğuz, T. and H.İ. Sur (1989) A two layer model of water exchange through Dardanelles Strait. Oceanologica Acta, 12, 23-31
6. Kutupoğlu, V., Akpınar, A. and G.V. Vledder, 2016. Modeling of wind waves in the Sea of Marmara. The Sea, 105.
7. Erdik, T. and Beji, S., (2018). Statistical Analyses of Wave Height and Wind Velocity Distributions for the Sea of Marmara. International Journal of Environment and Geoinformatics 5(1): 76- 83 (2018)
8. Jose, F., Stone, G.W (2006) Forecast of Nearshore wave heights using MIKE-21 Spectral Wave Model: Transactions, Gulf Coast Association of Geological Societies, 56, 323-327

9. Akpınar, A., Kömürcü, M.I., (2013). Assessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data. Applied Energy 101, 502–512, (2013).
10. Rusu, E.; Guedes Soares C., Numerical modeling to estimate the spatial distribution of the wave energy in the Portuguese nearshore. Renew. Energy, 34, 1501–1516, (2009).
11. Abdollahzadehmoradi, Y., Özger, M. & Altunkaynak, A., Optimized Numerical Model Based Assessment of Wave Power Potential of Marmara Sea. J. Ocean Univ. China, 18, 293, (2019)
12. Goda, Y., Random Seas and Design of Maritime Structure, World Scientific, (1985).