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Mann-Kendall ve Yenilikçi Poligon Trend Analizi Kullanılarak Türkiye'nin Batısındaki Akım Trendlerinin Belirlenmesi

Yıl 2026, Cilt: 28 Sayı: 82, 41 - 49, 27.01.2026
https://doi.org/10.21205/deufmd.2026288206

Öz

Akarsu akımlarının trendinin belirlenmesi su kaynaklarının yönetimi, enerji üretimi, taşkın ve kuraklık risk yönetimi açısından önemlidir. Akarsu akımlarındaki trendler genellikle Mann-Kendall (MK), Spearman testi vb. parametrik olmayan trend testleri ile belirlenmektedir. Ayrıca son yıllarda sıklıkla hidro-klimatolojik zaman serilerinin eğilimlerinin belirlemesi için Yenilikçi poligon trend analizi (YPTA) gibi grafiksel yöntemlerde kullanılmaktadır. Bu çalışmada, Türkiye’deki Batı Akdeniz Havzası'ndaki altı akım gözlem istasyonunun (Başgöz Çayı-Çatallar, Eşen Çay-Kavaklıdere, Dalaman Çayı- Suaçtı, Dalaman Çayı- Akköprü, Eşen Çayı-Kınık ve Karaçay- Kayadibi) 1978-2011 yıllarına ait aylık akarsu akımlarının trendi, MK ve YPTA yöntemleriyle incelenmiştir. Bu çalışmanın amacı, havzadaki akarsu akımlarındaki değişimleri belirleyerek su kaynaklarının sürdürülebilir yönetimine katkıda bulunmaktır. MK testi parametrik olmayan bir testtir ve akarsu akım serilerinin otokorelasyon içermesi durumunda hatalı sonuçlar verebilir. Bu nedenle MK testinden önce akarsu akımlarındaki otokorelasyonlar belirlenmiş ve otokorelasyon etkisi ön beyazlatma ile giderilerek MK testi uygulanmıştır. MK testi sonuçları incelendiğinde genel olarak tüm istasyonlarda istatistiksel olarak anlamlı bir trende rastlanmazken, Tau değerine göre tüm istasyonlarda akarsu akımları genellikle azalma trendinde olduğu belirlenmiştir. YPTA sonuçları incelendiğinde genel olarak tüm istasyonlarda akarsu akımlarının artış eğiliminde olduğu görülmektedir.

Kaynakça

  • Dey P, Mishra A. Separating the impacts of climate change and human activities on streamflow: A review of methodologies and critical assumptions. Journal of Hydrology 2017;548:278–90. doi:10.1016/j.jhydrol.2017.03.014.
  • Gumus V, Avsaroglu Y, Simsek O. Streamflow trends in the Tigris River basin using Mann−Kendall and innovative trend analysis methods. Journal of Earth System Science 2022;131. doi:10.1007/s12040-021-01770-4.
  • Akçay F, Kankal M, Şan M. Innovative approaches to the trend assessment of streamflows in the Eastern Black Sea basin, Turkey. Hydrological Sciences Journal 2022;67(2):222-47. doi:10.1080/02626667.2021.1998509.
  • Yuce MI, Deger IH, Esit M. Hydrological drought analysis of Yeşilırmak Basin of Turkey by streamflow drought index (SDI) and innovative trend analysis (ITA). Theoretical and Applied Climatology 2023;153(3):1439-62. doi:10.1007/s00704-023-04545-7.
  • Hussain F, Ceribasi G, Ceyhunlu AI, Wu RS, Cheema MJM, Noor RS, et al. Analysis of precipitation data using innovative trend pivot analysis method and trend polygon star concept: a case study of Soan River Basin, Potohar Pakistan. Journal of Applied Meteorology and Climatology 2022;61(12):1861-80. doi:10.1175/JAMC-D-22-0081.1.
  • Achite M, Ceribasi G, Ceyhunlu AI, Wałęga A, Caloiero T. The innovative polygon trend analysis (IPTA) as a simple qualitative method to detect changes in environment—example detecting trends of the total monthly precipitation in semiarid area. Sustainability 2021;13(22):12674. doi:10.3390/su132212674.
  • Caloiero T, Coscarelli R, Ferrari E. Assessment of seasonal and annual rainfall trend in Calabria (southern Italy) with the ITA method. Journal of Hydroinformatics 2020;22(4):738-48. doi:10.2166/hydro.2019.138.
  • Alemu ZA, Dioha MO. Climate change and trend analysis of temperature: the case of Addis Ababa, Ethiopia. Environmental Systems Research 2020;9. doi:10.1186/s40068-020-00190-5.
  • Gumus V, Simsek O, Avsaroglu Y. Evaluation of long-term monthly mean streamflow trend in the Mediterranean basins using different methods. Theoretical and Applied Climatology 2023;151:1369–82. doi:10.1007/s00704-022-04293-0.
  • Ahmed N, Wang G, Booij MJ, Ceribasi G, Bhat MS, Ceyhunlu AI, et al. Changes in monthly streamflow in the Hindukush–Karakoram–Himalaya Region of Pakistan using innovative polygon trend analysis. Stochastic Environmental Research and Risk Assessment 2022;36:811–30. doi:10.1007/s00477-021-02067-0.
  • Ashraf MS, Ahmad I, Khan NM, Zhang F, Bilal A, Guo J. Streamflow Variations in Monthly, Seasonal, Annual and Extreme Values Using Mann-Kendall, Spearmen’s Rho and Innovative Trend Analysis. Water Resources Management 2021;35:243–61. doi:10.1007/s11269-020-02723-0.
  • Chauluka F, Singh S, Kumar R. Rainfall and streamflow trends of thuchila river, southern Malawi. Materials Today: Proceedings 2021;34:846-55. doi:10.1016/j.matpr.2020.06.228.
  • Kuriqi A, Ali R, Pham QB, Gambini JM, Gupta V, Malik A, et al. Seasonality shift and streamflow flow variability trends in central India. Acta Geophysica 2020;68:1461–75. doi:10.1007/s11600-020-00475-4.
  • Arrieta-Castro M, Donado-Rodríguez A, Acuña GJ, Canales FA, Teegavarapu RS, Kaźmierczak B. Analysis of streamflow variability and trends in the meta river, Colombia. Water 2020;12(5):1451. doi:10.3390/w12051451.
  • Kale S, Sönmez AY. Trend analysis of mean monthly, seasonally and annual streamflow of Daday Stream in Kastamonu. Marine Science and Technology Bulletin 2018;7(2):60-7. doi:10.33714/masteb.418234.
  • Çeribaşı G, Doğan E. Evaluation of Streamflow of West And East Black Sea And Sakarya Basin By Using Trend Analysis Method. International Journal of Technological Sciences 2015;7(2):1-12. (In Turkish).
  • Doğan E, Çeribaşı G, Akkaya U. Investigation for Effecting of Dam to River Flow Regime by Trend Analysis Method: Case Study of Sakarya River. Karaelmas Science and Engineering Journal 2016;6(1):50-5. (In Turkish).
  • Soydan NG, Gümüş V, Şimşek O, Gerger R, Ağun B. Trend analysis of average monthly streamflow and rainfall at Seyhan river basin. Dicle University Journal of Engineering 2016;7(2):319-27. (In Turkish).
  • Anonim. Western Mediterranean Basin Flood Management Plan Executive Summary. Ministry of Agriculture and Forestry, General Directorate of Water Management; 2019.
  • Gumus V, Simsek O. Trend Analysis of Monthly Average Solar Radiation of Şanlıurfa Station with Different Methods. Harran University Journal of Engineering 2020;5(3):227-38. doi:10.46578/humder.828025. (In Turkish).
  • Von Storch H, Navarra A. Analysis of climate variability: applications of statistical techniques. Springer Science & Business Media; 1999.
  • Beşel C, Kayıkçı ET. The Effect of Serial Correlation on Nonparametric Trend Identification in Total Zenit Lag Time Series. Gümüşhane University Journal of Science 2019;9(1):180-8. doi:10.17714/gumusfenbil.417853. (In Turkish).
  • Razavi S, Vogel R. Prewhitening of hydroclimatic time series? Implications for inferred change and variability across time scales. Journal of Hydrology 2018;557:109-15. doi:10.1016/j.jhydrol.2017.11.053.
  • Salas JD. Applied modeling of hydrologic time series. Water Resources Publication; 1980.
  • Baig MRI, Shahfahad, Naikoo MW, Ansari AH, Ahmad S. Temporal-spatial analysis of rainfall pattern and trend using standardized rainfall index and Mann-Kendall test in coastal Andhra Pradesh. Modeling Earth Systems and Environment 2022;8:2733–52. doi:10.1007/s40808-021-01262-w.
  • Seenu PZ, Jayakumar KV. Comparative study of innovative trend analysis technique with Mann-Kendall tests for extreme rainfall. Arabian Journal of Geosciences 2021;14. doi:10.1007/s12517-021-06906-w.
  • Katipoğlu OM, Yeşilyurt SN, Dalkılıç HY. Trend analysis of hydrological droughts in Yeşilırmak basin with Mann-Kendall and Innovative Şen method. Gümüşhane University Journal of Science 2022;12(2):422-42. doi:10.17714/gumusfenbil.1026893. (In Turkish).
  • Şen Z, Şişman E, Dabanli I. Innovative polygon trend analysis (IPTA) and its applications. Journal of Hydrology 2019;575:202–10. doi:10.1016/j.jhydrol.2019.05.028.
  • Şan M, Akçay F, Linh NTT, Kankal M, Pham QB. Innovative and polygonal trend analyses applications for rainfall data in Vietnam. Theoretical and Applied Climatology 2021;144:809–22. doi:10.1007/s00704-021-03574-4.
  • Hırca T, Eryılmaz Türkkan G, Niazkar M. Applications of innovative polygonal trend analyses to precipitation series of Eastern Black Sea Basin, Turkey. Theoretical and Applied Climatology 2022;147:651–67. doi:10.1007/s00704-021-03837-0.
  • İlker A, Terzi Ö. Trend Analysis of Temperature Data: the Case of Çankiri and Kastamonu. Journal of Engineering Science and Design 2021;9(4):1339-47. doi:10.21923/jesd.939707. (In Turkish).

Determination of Streamflow Trends in the West of Türkiye Using Mann-Kendall and Innovative Polygon Trend Analysis

Yıl 2026, Cilt: 28 Sayı: 82, 41 - 49, 27.01.2026
https://doi.org/10.21205/deufmd.2026288206

Öz

Determination of streamflow trends is important in terms of water resources management, energy production, flood and drought risk management. Trends in streamflow are generally determined by non-parametric trend tests such as Mann-Kendall (MK), the Spearman test, etc. In addition, in recent years, graphical methods such as innovative polygon trend analysis (IPTA) have been frequently used to determine the trends of hydro-climatological time series. In this study, the monthly streamflow trends of six streamflow gauge stations (Başgöz Stream-Çatallar, Eşen Stream-Kavaklıdere, Dalaman Stream- Suaçtı, Dalaman Stream- Akköprü, Eşen Stream-Kınık and Karaçay- Kayadibi) in the Western Mediterranean Basin of Türkiye for the years 1978-2011 were analyzed by MK and IPTA methods. The aim of this study is to contribute to the sustainable management of water resources by determining the changes in streamflow in the basin. The MK test is a non-parametric test and may give erroneous results if the streamflow series contain autocorrelation. Therefore, autocorrelations in streamflow’s were determined before the MK test and the autocorrelation effect was eliminated by pre-whitening and the MK test was applied. When the MK test results were examined, while no statistically significant trend was found in all stations in general, it was determined that stream flows were generally in a decreasing trend according to the Tau value in all stations. When the IPTA results were examined, it was seen that stream flows were generally in an increasing trend in all stations.

Kaynakça

  • Dey P, Mishra A. Separating the impacts of climate change and human activities on streamflow: A review of methodologies and critical assumptions. Journal of Hydrology 2017;548:278–90. doi:10.1016/j.jhydrol.2017.03.014.
  • Gumus V, Avsaroglu Y, Simsek O. Streamflow trends in the Tigris River basin using Mann−Kendall and innovative trend analysis methods. Journal of Earth System Science 2022;131. doi:10.1007/s12040-021-01770-4.
  • Akçay F, Kankal M, Şan M. Innovative approaches to the trend assessment of streamflows in the Eastern Black Sea basin, Turkey. Hydrological Sciences Journal 2022;67(2):222-47. doi:10.1080/02626667.2021.1998509.
  • Yuce MI, Deger IH, Esit M. Hydrological drought analysis of Yeşilırmak Basin of Turkey by streamflow drought index (SDI) and innovative trend analysis (ITA). Theoretical and Applied Climatology 2023;153(3):1439-62. doi:10.1007/s00704-023-04545-7.
  • Hussain F, Ceribasi G, Ceyhunlu AI, Wu RS, Cheema MJM, Noor RS, et al. Analysis of precipitation data using innovative trend pivot analysis method and trend polygon star concept: a case study of Soan River Basin, Potohar Pakistan. Journal of Applied Meteorology and Climatology 2022;61(12):1861-80. doi:10.1175/JAMC-D-22-0081.1.
  • Achite M, Ceribasi G, Ceyhunlu AI, Wałęga A, Caloiero T. The innovative polygon trend analysis (IPTA) as a simple qualitative method to detect changes in environment—example detecting trends of the total monthly precipitation in semiarid area. Sustainability 2021;13(22):12674. doi:10.3390/su132212674.
  • Caloiero T, Coscarelli R, Ferrari E. Assessment of seasonal and annual rainfall trend in Calabria (southern Italy) with the ITA method. Journal of Hydroinformatics 2020;22(4):738-48. doi:10.2166/hydro.2019.138.
  • Alemu ZA, Dioha MO. Climate change and trend analysis of temperature: the case of Addis Ababa, Ethiopia. Environmental Systems Research 2020;9. doi:10.1186/s40068-020-00190-5.
  • Gumus V, Simsek O, Avsaroglu Y. Evaluation of long-term monthly mean streamflow trend in the Mediterranean basins using different methods. Theoretical and Applied Climatology 2023;151:1369–82. doi:10.1007/s00704-022-04293-0.
  • Ahmed N, Wang G, Booij MJ, Ceribasi G, Bhat MS, Ceyhunlu AI, et al. Changes in monthly streamflow in the Hindukush–Karakoram–Himalaya Region of Pakistan using innovative polygon trend analysis. Stochastic Environmental Research and Risk Assessment 2022;36:811–30. doi:10.1007/s00477-021-02067-0.
  • Ashraf MS, Ahmad I, Khan NM, Zhang F, Bilal A, Guo J. Streamflow Variations in Monthly, Seasonal, Annual and Extreme Values Using Mann-Kendall, Spearmen’s Rho and Innovative Trend Analysis. Water Resources Management 2021;35:243–61. doi:10.1007/s11269-020-02723-0.
  • Chauluka F, Singh S, Kumar R. Rainfall and streamflow trends of thuchila river, southern Malawi. Materials Today: Proceedings 2021;34:846-55. doi:10.1016/j.matpr.2020.06.228.
  • Kuriqi A, Ali R, Pham QB, Gambini JM, Gupta V, Malik A, et al. Seasonality shift and streamflow flow variability trends in central India. Acta Geophysica 2020;68:1461–75. doi:10.1007/s11600-020-00475-4.
  • Arrieta-Castro M, Donado-Rodríguez A, Acuña GJ, Canales FA, Teegavarapu RS, Kaźmierczak B. Analysis of streamflow variability and trends in the meta river, Colombia. Water 2020;12(5):1451. doi:10.3390/w12051451.
  • Kale S, Sönmez AY. Trend analysis of mean monthly, seasonally and annual streamflow of Daday Stream in Kastamonu. Marine Science and Technology Bulletin 2018;7(2):60-7. doi:10.33714/masteb.418234.
  • Çeribaşı G, Doğan E. Evaluation of Streamflow of West And East Black Sea And Sakarya Basin By Using Trend Analysis Method. International Journal of Technological Sciences 2015;7(2):1-12. (In Turkish).
  • Doğan E, Çeribaşı G, Akkaya U. Investigation for Effecting of Dam to River Flow Regime by Trend Analysis Method: Case Study of Sakarya River. Karaelmas Science and Engineering Journal 2016;6(1):50-5. (In Turkish).
  • Soydan NG, Gümüş V, Şimşek O, Gerger R, Ağun B. Trend analysis of average monthly streamflow and rainfall at Seyhan river basin. Dicle University Journal of Engineering 2016;7(2):319-27. (In Turkish).
  • Anonim. Western Mediterranean Basin Flood Management Plan Executive Summary. Ministry of Agriculture and Forestry, General Directorate of Water Management; 2019.
  • Gumus V, Simsek O. Trend Analysis of Monthly Average Solar Radiation of Şanlıurfa Station with Different Methods. Harran University Journal of Engineering 2020;5(3):227-38. doi:10.46578/humder.828025. (In Turkish).
  • Von Storch H, Navarra A. Analysis of climate variability: applications of statistical techniques. Springer Science & Business Media; 1999.
  • Beşel C, Kayıkçı ET. The Effect of Serial Correlation on Nonparametric Trend Identification in Total Zenit Lag Time Series. Gümüşhane University Journal of Science 2019;9(1):180-8. doi:10.17714/gumusfenbil.417853. (In Turkish).
  • Razavi S, Vogel R. Prewhitening of hydroclimatic time series? Implications for inferred change and variability across time scales. Journal of Hydrology 2018;557:109-15. doi:10.1016/j.jhydrol.2017.11.053.
  • Salas JD. Applied modeling of hydrologic time series. Water Resources Publication; 1980.
  • Baig MRI, Shahfahad, Naikoo MW, Ansari AH, Ahmad S. Temporal-spatial analysis of rainfall pattern and trend using standardized rainfall index and Mann-Kendall test in coastal Andhra Pradesh. Modeling Earth Systems and Environment 2022;8:2733–52. doi:10.1007/s40808-021-01262-w.
  • Seenu PZ, Jayakumar KV. Comparative study of innovative trend analysis technique with Mann-Kendall tests for extreme rainfall. Arabian Journal of Geosciences 2021;14. doi:10.1007/s12517-021-06906-w.
  • Katipoğlu OM, Yeşilyurt SN, Dalkılıç HY. Trend analysis of hydrological droughts in Yeşilırmak basin with Mann-Kendall and Innovative Şen method. Gümüşhane University Journal of Science 2022;12(2):422-42. doi:10.17714/gumusfenbil.1026893. (In Turkish).
  • Şen Z, Şişman E, Dabanli I. Innovative polygon trend analysis (IPTA) and its applications. Journal of Hydrology 2019;575:202–10. doi:10.1016/j.jhydrol.2019.05.028.
  • Şan M, Akçay F, Linh NTT, Kankal M, Pham QB. Innovative and polygonal trend analyses applications for rainfall data in Vietnam. Theoretical and Applied Climatology 2021;144:809–22. doi:10.1007/s00704-021-03574-4.
  • Hırca T, Eryılmaz Türkkan G, Niazkar M. Applications of innovative polygonal trend analyses to precipitation series of Eastern Black Sea Basin, Turkey. Theoretical and Applied Climatology 2022;147:651–67. doi:10.1007/s00704-021-03837-0.
  • İlker A, Terzi Ö. Trend Analysis of Temperature Data: the Case of Çankiri and Kastamonu. Journal of Engineering Science and Design 2021;9(4):1339-47. doi:10.21923/jesd.939707. (In Turkish).
Toplam 31 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Su Kaynakları Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Tahsin Baykal 0000-0001-6218-0826

Gönderilme Tarihi 9 Ekim 2024
Kabul Tarihi 17 Nisan 2025
Yayımlanma Tarihi 27 Ocak 2026
Yayımlandığı Sayı Yıl 2026 Cilt: 28 Sayı: 82

Kaynak Göster

Vancouver Baykal T. Determination of Streamflow Trends in the West of Türkiye Using Mann-Kendall and Innovative Polygon Trend Analysis. DEUFMD. 2026;28(82):41-9.

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