Araştırma Makalesi
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Variability Analysis on Water Quality of Streamflow from Yesilirmak Basin in Turkey

Yıl 2017, Cilt: 34 Sayı: 1, 33 - 37, 02.05.2017
https://doi.org/10.13002/jafag1100

Öz

In this paper, variability in monthly water quality records at Durucasu monitoring station on the Yeşilırmak River was analyzed by considering the Mann-Kendal (MK) and Theil-Sen Slope estimator (TSE) statistical approaches to detect the direction and magnitude of an available monotonic trend in any given data. The pH, chlorides, sulfates and SAR data sequences for some months had statistically significance upward trend when there was a decreasing trend in streamflow data of the nine months. The largest percent change in streamflow data was found as 153% in November, whereas July in the pH, June in chlorides and January in sulfates and SAR had the maximum percent change

Kaynakça

  • Anonymous (1970). Soils of Yeşilırmak Basin. General Directorship of Soil-water publications, 241, Ankara-Turkey, 141 pp. (in Turkish).
  • Antonopoulos VZ, Papamichail DM and Mitsiou KA (2001). Statistical and trend analysis of water quality and quantity data for the Strymon River in Greece. Hydrology and Earth System Sciences, 5: 679-691.
  • Kalaycı S and Kahya E (1998). Detection of water quality trends in the rivers of the Susurluk Basin. Turkish Journal of Engineering and Environmental Science, 22: 503-514.
  • Kisi O and Ay M (2014). Comparison of Mann–Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey. Journal of Hydroloy, 513: 362-375.
  • Kurunc A, Yurekli, K and Cevik O (2005). Performance of two stochastic approaches for simulating river water quality and streamflow. Environmental Modeling & Software, 20: 1995-2000.
  • Munsuz N and Ünver I (1983). Waters of Turkey. University of Ankara, Agricultural Faculty Publications, 882, Ankara-Turkey, 392 pp. (in Turkish).
  • Sen PK (1968). Estimates of the regression coefficient based on Kendall's tau. Journal of the American Statistical Association, 63: 1379–1389.
  • Naddeo V, Scannapieco D, Zarra T and Belgiorno V (2013). River water quality assessment: Implementation of non-parametric tests for sampling frequency optimization. Land Use Policy, 30: 197-205.
  • Theil H (1950). A Rank Invariant Method of Linear and Polynomial Regression Analysis, part 3. Netherlands Akademie van Wettenschappen, Proceedings, 53, pp. 1397–1412.
  • Yenilmez F, Keskin F and Aksoy A (2011).Water quality trend analysis in Eymir Lake, Ankara. Physics and Chemistry of the Earth, 36: 135-140.
  • Yue S and Hashino M (2003). Long term trends of annual and monthly precipitation in Japan. Journal of the American Water Resources Association, 39: 587–596.
  • Zhai X, Xia J and Zhang Y (2014). Water quality variation in the highly disturbed Huai River Basin, China from 1994 to 2005 by multi-statistical analyses. Science of Total Environment, 496: 594-606.
  • Yurekli K (2015). Impact of climate variability on precipitation in the Upper Euphrates–Tigris Rivers Basin of Southeast Turkey. Atmospheric Research, 154: 25-38
Yıl 2017, Cilt: 34 Sayı: 1, 33 - 37, 02.05.2017
https://doi.org/10.13002/jafag1100

Öz

Kaynakça

  • Anonymous (1970). Soils of Yeşilırmak Basin. General Directorship of Soil-water publications, 241, Ankara-Turkey, 141 pp. (in Turkish).
  • Antonopoulos VZ, Papamichail DM and Mitsiou KA (2001). Statistical and trend analysis of water quality and quantity data for the Strymon River in Greece. Hydrology and Earth System Sciences, 5: 679-691.
  • Kalaycı S and Kahya E (1998). Detection of water quality trends in the rivers of the Susurluk Basin. Turkish Journal of Engineering and Environmental Science, 22: 503-514.
  • Kisi O and Ay M (2014). Comparison of Mann–Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey. Journal of Hydroloy, 513: 362-375.
  • Kurunc A, Yurekli, K and Cevik O (2005). Performance of two stochastic approaches for simulating river water quality and streamflow. Environmental Modeling & Software, 20: 1995-2000.
  • Munsuz N and Ünver I (1983). Waters of Turkey. University of Ankara, Agricultural Faculty Publications, 882, Ankara-Turkey, 392 pp. (in Turkish).
  • Sen PK (1968). Estimates of the regression coefficient based on Kendall's tau. Journal of the American Statistical Association, 63: 1379–1389.
  • Naddeo V, Scannapieco D, Zarra T and Belgiorno V (2013). River water quality assessment: Implementation of non-parametric tests for sampling frequency optimization. Land Use Policy, 30: 197-205.
  • Theil H (1950). A Rank Invariant Method of Linear and Polynomial Regression Analysis, part 3. Netherlands Akademie van Wettenschappen, Proceedings, 53, pp. 1397–1412.
  • Yenilmez F, Keskin F and Aksoy A (2011).Water quality trend analysis in Eymir Lake, Ankara. Physics and Chemistry of the Earth, 36: 135-140.
  • Yue S and Hashino M (2003). Long term trends of annual and monthly precipitation in Japan. Journal of the American Water Resources Association, 39: 587–596.
  • Zhai X, Xia J and Zhang Y (2014). Water quality variation in the highly disturbed Huai River Basin, China from 1994 to 2005 by multi-statistical analyses. Science of Total Environment, 496: 594-606.
  • Yurekli K (2015). Impact of climate variability on precipitation in the Upper Euphrates–Tigris Rivers Basin of Southeast Turkey. Atmospheric Research, 154: 25-38
Toplam 13 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Araştırma Makaleleri
Yazarlar

Kadri Yurekli Bu kişi benim

Yayımlanma Tarihi 2 Mayıs 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 34 Sayı: 1

Kaynak Göster

APA Yurekli, K. (2017). Variability Analysis on Water Quality of Streamflow from Yesilirmak Basin in Turkey. Journal of Agricultural Faculty of Gaziosmanpaşa University (JAFAG), 34(1), 33-37. https://doi.org/10.13002/jafag1100