The Short-Term and Seasonal Trend Detection of Sediment Discharges in Turkish Rivers

• Autorzy: Burgan Halil Ibrahim

Identyfikatory

DOI

10.54740/ros.2022.016

• Języki publikacji: EN

Abstrakty

EN

Hydrometeorological variables are tested by trend methods to detect trends in river basins. Mann-Kendall and Spearman’s rho tests are widely used as traditional trend methods. Besides, some new trend tests are applied to hydrometeorological variables, such as Innovative Trend Analysis (ITA). Sediment discharge observations are more complicated than other hydrometeorological variables. In general, sediment data are observed on a monthly time scale. Therefore, there are minimal studies on sediment data, especially in Turkey. In this study, Innovative Trend Analysis (ITA), Mann-Kendall, Correlated Mann-Kendall and Seasonal Mann-Kendall trend analyses are applied to sediment discharges in Turkish river basins. According to Mann-Kendall, Correlated Mann-Kendall and Seasonal Mann-Kendall results, positive trends have detected only 8, 2 and 20 gauging stations, respectively. Then, 30 positive and 15 negative trends were detected by ITA methodology. The trend slopes calculated from ITA methodology are categorised because some positive and negative trends are weak. The applied trend methods are evaluated together, considering the climate properties of hydrological regions in Turkey. Increasing trends in sediment data are detected from the rivers in the Mediterranean region of Turkey. The results of the study would help to manage water resources as well as sustainable development in the Turkish river basins.

Słowa kluczowe

EN

innovative trend analysis; ITA; Mann-Kendall test; seasonal Mann-Kendall test; sediment discharge; trend; Turkish rivers

• Wydawca: Politechnika Koszalińska
• Czasopismo: Rocznik Ochrona Środowiska
• Rocznik: 2022
• Tom: Tom 24
• Strony: 214--230
• Opis fizyczny: Bibliogr. 31 poz., rys., tab.

Twórcy

autor

Burgan Halil Ibrahim

• Department of Civil Engineering, Akdeniz University, Antalya, Turkey

• https://orcid.org/0000-0001-6018-3521

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).