Homogeneity and Trend Analysis of Rainfall and Streamflow of Seyhan Basin (Turkey)

  • Sinan J. HadiEmail author
  • Arkan J. Hadi
  • Kamaran S. Ismail
  • Mustafa Tombul
Conference paper
Part of the Advances in Science, Technology & Innovation book series (ASTI)


Changes in the historical rainfall and streamflow observations are important for understanding the climate change. The homogeneity of the annual and monthly times series of 9 rainfall stations and 3 streamflow gages, located at the Seyhan basin in Turkey, was examined using standard normal homogeneity test and Buishand test. The trend was studied by Mann-Kendall test, which is used for identifying the significance of the trend, and the Sen’s slope estimator, which provides the magnitude of the trend. Finally, the Pettit test was also applied on the annual time series only to obtain the most probable change year. The entire time series was found as homogeneous, although several significant p values were obtained in the 0.05 but not in the 0.01 significance level. The annual trend varied from one station to another but was found to be significant in one rainfall and one streamflow station at the 0.1 significance level only. Monthly time series was found to have the most significant trend in January at 0.05 significance level. Several months have no stations with a significant trend, while others have only one station with a significant trend. The Pettit test results showed no consistent change year through all the stations, although the most frequent change year obtained was for 1981.


Trend Homogeneity Mann-Kendall Seyhan Turkey 


  1. 1.
    Hadi, S.J., Tombul, M.: Monthly streamflow forecasting using continuous wavelet and multi-gene genetic programming combination. J. Hydrol. (2018)Google Scholar
  2. 2.
    Toros, H.: Spatio-temporal precipitation change assessments over Turkey. Int. J. Climatol. 32(9), 1310–1325 (2012)CrossRefGoogle Scholar
  3. 3.
    Hadi, S.J., Tombul, M.: Long‐term spatiotemporal trend analysis of precipitation and temperature over Turkey. Meteorol. Appl. (2018)Google Scholar
  4. 4.
    Hadi, S.J., Tombul, M.: Analyzing trend and developing an empirical formula for estimating rainfall intensity: a case study Eskisehir city, Turkey. In: International Conference on Advances in Sustainable Construction Materials & Civil Engineering Systems (ASCMCES-17), EDP Sciences, UAE (2017)Google Scholar
  5. 5.
    Türkeş, M.: Spatial and temporal analysis of annual rainfall variations in Turkey. Int. J. Climatol. 16(9), 1057–1076 (1996)CrossRefGoogle Scholar
  6. 6.
    Unal, Y.S., et al.: Temporal and spatial patterns of precipitation variability for annual, wet, and dry seasons in Turkey. Int. J. Climatol. 32(3), 392–405 (2012)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sinan J. Hadi
    • 1
    Email author
  • Arkan J. Hadi
    • 2
  • Kamaran S. Ismail
    • 2
  • Mustafa Tombul
    • 1
  1. 1.Anadolu UniversityEskisehirTurkey
  2. 2.Soran UniversitySoran, ErbilIraq

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