Analyzing meteorological data of Strait of Canakkale by using trend methods and evaluating their effects on ship traffic

Meteorological analyses of Canakkale Strait for ship traffic

Authors

DOI:

https://doi.org/10.5281/zenodo.10182975

Keywords:

Mann Kendall test, navigation restriction, precipitation, Sen method, serial correlation, temperature

Abstract

Strait of Canakkale is a waterway that opens to the Mediterranean for countries bordering the Black Sea and has no alternative. It proves this with the number of passes reaching up to 50,000 annually. Therefore, any negative changes that may occur in the Strait of Canakkale will cause serious damage not only to Türkiye but to many countries. One of the most parameters of navigation in maritime is meteorological conditions. If a place has a stable meteorological cycle, it brings predictable effects to its geography, and this has a positive impact on navigational safety. However, meteorological changes disrupt this order and cause a more transitional weather condition. The aim of this study was to evaluate data between 1995-2020 from 3 meteorological stations selected within the marine area of the Strait of Canakkale with trend analysis performed using Serial Correlation, Mann-Kendall test and Sen's trend slope methods for possible influences on maritime transportation. Trend analysis methods were used to predict the future situation according to datas. Before analyzing the trend methods, serial correlation was investigated to find out whether the data were serially dependent. Sen method and Mann-Kendall test were applied in this study. There was no significant trend in total precipitation amounts and average sea water temperatures. On the other hand, an increasing trend was observed in monthly average temperature values. It is estimated that it will cause navigational restrictions in the Strait of Canakkale as temperature increases will cause a decrease in water level, increased fog formation and an increase in wind strength.

References

Biberoglu, E. (2017). Statistical downscaling for precipitation and temperature predictions of global circulation models [Unpublished doctoral dissertation]. Dokuz Eylül University Institute of Science and Technology.

Buken, M. E. (2016). Assessment of climate change impacts on Adana [Unpublished master of science thesis]. Çukurova University Institute of Science and Technology.

Burn, D. H., & Elnur, M. A. H. (2002). Detection of hydrologic trends and variability. Journal of Hydrology, 255, 107-122. https://doi.org/10.1016/S0022-1694(01)00514-5

Ceribasi, G. (2019). Analyzing rainfall datas’ of eastern black sea basin by using Sen Method and trend methods. Journal of Igdır University Institute of Science and Technology, 9(1), 254-264.

Ceribasi, G., & Caliskan, M. (2023). Short -and long-term prediction of energy to be produced in hydroelectric energy plants of Sakarya Basin in Turkey. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 45(1), 2680-2695.

Cerit, G. (2000). Maritime security management and turkish straits. ISO Publications: Istanbul.

Dabanli, I. (2017). Climate change impact on precipitation-temperature in Turkey and drought analysis: Akarcay Case study [Unpublished doctoral dissertation]. Istanbul Technic University Institute of Science and Technology.

Gumus, V., & Yenigun, K. (2006, October 11-13). Evaluation of lower Firat Basin streamflow by trend analysis [Conference presentation]. 7th International Advances in Civil Engineering Conference, Istanbul, Türkiye.

Ilgar, R. (2010). Drought status and trends in the Dardanelles and the standardized precipitation index determination. Marmara Coğrafya Dergisi, 0(22), 183-204.

Ilgar, R. (2015). Ship mobility and determination of accident risk map in the Dardanelles. Turk Coğrafya Dergisi, 0(65), 1-10.

Kendall, M. (1975). Rank correlation methods. London: CharlesGriffin.

Mann, H. B. (1945). Nonparametric Tests Against Trend. Econometrica, 13, 245-259.

Partal, T. (2003). Trend analysis in Turkey precipitation data [Unpublished master of science thesis]. Istanbul Technic University Institute of Science and Technology.

UNECE. (2013). Climate change impacts and adaptation for International transport networks (Expert Group Report). United Nations Economic Commission for Europe. http://www.unece.org/fileadmin/DAM/trans/main/wp5/publications/climate_change_2014.pdf.

Downloads

Published

2023-12-05

How to Cite

TAŞLI, B. (2023). Analyzing meteorological data of Strait of Canakkale by using trend methods and evaluating their effects on ship traffic: Meteorological analyses of Canakkale Strait for ship traffic. MARINE REPORTS (MAREP), 2(2), 136–144. https://doi.org/10.5281/zenodo.10182975

Issue

Section

Research Article