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Investigation of Climate Relations of Metropolitan Cities in Türkiye

Year 2025, Volume: 1 Issue: 1, 26 - 33, 20.06.2025

Abstract

This study aims to analyze and classify the climatic relations among metropolitan cities in Turkey based on temperature and precipitation data. The study aims to contribute to a better understanding of the current climatic characteristics of metropolitan cities in Turkey by revealing their climatic similarities and differences. In this context, the climate profile of each metropolitan city was prepared using monthly average temperature and precipitation data obtained from the General Directorate of Meteorology between 1927 and 2023. The correlation function was used to identify climatic relationships. Climatic similarities and differences between metropolitan areas were analyzed with hierarchical classification methods. Using hierarchical tree (dendogram) and minimum spanning tree techniques, metropolitan cities were grouped according to similar climatic data. In addition to providing a better understanding of climatic relationships, this analysis aims to provide scientific data suitable for use in areas such as agriculture, environmental regulations, water resources management and urban planning by facilitating visualization analysis. By identifying climatic differences among metropolitan cities in Turkey, the study will enable the development of more accurate strategies in the face of climate change and environmental risks. In addition, the data obtained will help to predict the effects of future climate changes in cities by modeling their impacts.

Thanks

The authors would like to express their sincere thanks to Rize BİLSEM.

References

  • Bivona, S. B. (2008). Taxonomy of correlations of wind velocity-an application to the Sicilian area. Physica A Statistical Mechanics and Its Applications, 5910–5915.
  • Buda, A. &. (2013). Network Structure of Phonographic Market with Characteristic Similarities between Artists. Acta Physica Polonica A, 123(3), 547–552. .
  • Iyigun, C. T. (2013). Clustering current climate regions of Turkey by using a multivariate statistical method. Theoretical and Applied Climatology, 114(1–2), 95–106.
  • Kantar, E. D. (2011). Hierarchical structure of Turkey’s foreign trade. Physica A Statistical Mechanics and Its Applications, 390(20), 3454–3476.
  • Mantegna, R. N. (2000). An introduction to Econophysics: Correlations and complexity in finance. Physics Today, , 53(12), 70.
  • MGM. (2025, 03 24). Mgm. Retrieved from Turkish State Meteorological Service official web sites : https://www.mgm.gov.tr/eng/forecast-cities.aspx
  • Munier, B. A. (2017). A Fast Implementation of Minimum Spanning Tree Method and Applying it to Kruskal’s and Prim’s Algorithms. Sukkur IBA Journal of Computing and Mathematical Sciences,, 1(1), 58–66.
  • Rahmani, Z. &. (2024). The impact of human activities on climate change. Sprin Journal of Arts Humanities and Social Sciences,, 3(6), 24–27.
  • Wan, Z. (2024). Explore the factors of global mean temperature change. Science and Technology of Engineering Chemistry and Environmental Protection, 1(10).
  • Wang, W. H. (2009). Universal dynamics on complex networks. Europhysics Letters, 87(1), 18006.
  • Yang, J. K. (2008). Increasing market efficiency in the stock markets. The European Physical Journal B, 61(2), 241–246. doi:10.1140/epjb/e2008-00050-0
There are 11 citations in total.

Details

Primary Language English
Subjects Data Analysis, Statistical Physics
Journal Section Research Article
Authors

Mehmet Batı 0000-0003-2304-4869

İlke Güçlü This is me

Erdem Kuzu This is me

Publication Date June 20, 2025
Submission Date March 28, 2025
Acceptance Date April 21, 2025
Published in Issue Year 2025 Volume: 1 Issue: 1

Cite

APA Batı, M., Güçlü, İ., & Kuzu, E. (2025). Investigation of Climate Relations of Metropolitan Cities in Türkiye. Smyrna Journal of Natural and Data Sciences, 1(1), 26-33.