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Makale Tam Makale Uluslararası 2020

Trend analysis and forecasting of the Gokirmak River streamflow (Turkey)

Gökhan Arslan, SEMİH KALE, ADEM YAVUZ SÖNMEZ

OCEANOLOGICAL AND HYDROBIOLOGICAL STUDIES Cilt 49 · Sayı 3 · ss. 230–246 · 01.09.2020
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Özet

The objective of this paper is to determine the trend and to estimate the streamflow of the Gokirmak River. The possible trend of the streamflow was forecasted using an autoregressive integrated moving average (ARIMA) model. Time series and trend analyses were performed using monthly streamflow data for the period between 1999 and 2014. Pettitt's change point analysis was employed to detect the time of change for historical streamflow time series. Kendall's tau and Spearman's rho tests were also conducted. The results of the change point analysis determined the change point as 2008. The time series analysis showed that the streamflow of the river had a decreasing trend from the past to the present. Results of the trend analysis forecasted a decreasing trend for the streamflow in the future. The decreasing trend in the streamflow may be related to climate change. This paper provides preliminary knowledge of the streamflow trend for the Gokirmak River.

Anahtar kelimeler

VARIABILITY Climate change Water quality VARIABLES ARIMA river Water resources MANN-KENDALL BASIN flow monitoring forecast seasonal CLIMATE-CHANGE IMPACTS RESERVOIR MAXIMUM RUNOFF DISCHARGE

Sürdürülebilir Kalkınma Amaçları

  • SKA 13: İklim Eylemi

Atıf için künye

Arslan, G., KALE, S., & SÖNMEZ, A. Y. (2020). Trend analysis and forecasting of the Gokirmak River streamflow (Turkey). OCEANOLOGICAL AND HYDROBIOLOGICAL STUDIES, 49(3), 230–246. https://doi.org/10.1515/ohs-2020-0021

BibTeX
@article{arslan2020-208443,
  author = {Arslan, Gökhan and KALE, SEMİH and SÖNMEZ, ADEM YAVUZ},
  title = {Trend analysis and forecasting of the Gokirmak River streamflow (Turkey)},
  journal = {OCEANOLOGICAL AND HYDROBIOLOGICAL STUDIES},
  year = {2020},
  volume = {49},
  number = {3},
  pages = {230--246},
  issn = {1730-413X},
  doi = {10.1515/ohs-2020-0021},
  url = {https://akademik.atauni.edu.tr/yayinlar/208443-trend-analysis-and-forecasting-of-the-gokirmak-river-streamflow-turkey}
}