Wavelet-based variability on streamflow at 40-year timescale in the Black Sea region of Turkey

  • Celso Augusto Guimarães Santos
  • Ozgur Kisi
  • Richarde Marques da Silva
  • Mohammad Zounemat-Kermani
Original Paper


Under the effects of human activities and climate change, severe changes of stream discharge are observed in large river basins in the world. Accordingly, assessing the temporal variability in streamflow is crucial for better water resources planning and management. Thus, the aim of the present study was to perform monthly streamflow analyses using the wavelet transform and descriptive statistics. Temporal variability of streamflow data of nine stations (Yakabasi, Derecikviran, Durucasu, Sutluce, Kale, Gomeleonu, Simsirli, Tozkoy, and Topluca) for period of 1964–2007 to study the influence of climatic oscillations over the Black Sea Region of Turkey was analyzed. Although all studied time series presented annual periodicity, Kale, Gomeleonu, Simsirli, Tozkoy, and Topluca stations presented a semi-annual signal as well. However, some discontinuities in the annual periodicity were found in the Durucasu, Sutluce, and Kale time series between 1964 and 2007. Finally, the scale-average wavelet power time series for each station studied were used to perform a cluster analysis, and it was observed that Topluca station presented a particular spectrum or could form an isolate cluster together with Simsirli and Tozkoy stations, mainly due to the intermittent oscillations on the annual frequency observed after 1990.


Monthly streamflow Wavelet transform Periodicity Cluster 



The research was financed by the National Council for Scientific and Technological Development, Grants 305413/2014-7 and 311347/2014-2.


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Copyright information

© Saudi Society for Geosciences 2018

Authors and Affiliations

  • Celso Augusto Guimarães Santos
    • 1
  • Ozgur Kisi
    • 2
  • Richarde Marques da Silva
    • 3
  • Mohammad Zounemat-Kermani
    • 4
  1. 1.Department of Civil and Environmental EngineeringFederal University of ParaíbaJoão PessoaBrazil
  2. 2.Faculty of Natural Sciences and Engineering, Ilia State UniversityTbilisiGeorgia
  3. 3.Department of GeosciencesFederal University of ParaíbaJoão PessoaBrazil
  4. 4.Water Engineering DepartmentShahid Bahonar University of KermanKermanIran

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