Trend Analizi Yöntemleri Kullanılarak Doğu Anadolu Bölgesi Aylık Yağış Miktarlarının Değerlendirilmesi

Şenocak, Serkan; Emek, Muhammed Fatih

doi:10.31590/ejosat.646266

Cited by 13 publications

(6 citation statements)

References 12 publications

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“…The trend analysis results of regions A, F and G were statistically significant at the level of 5%, and the decreasing trend of region E was statistically significant at the level of 10%. Şenocak and Emek (2019) reported similar results for region E. The effect of major weather systems linked to the large-scale atmospheric circulation can be used to explain that regions F and G had weaker correlations in rS values compared to other regions. The Mediterranean Region (G) showed a decrease in precipitation values, which is consistent with previous studies focused on the Mediterranean region conducted by Maheras et al (2004) and Kutiel and Türkeş (2017).…”

Section: Discussionmentioning

confidence: 57%

Trends and variability in precipitation across Turkey: a multimethod statistical analysis

Yetik,

Arslan,

Şen

2023

Theor Appl Climatol

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Analyzing trends in precipitation data is crucial for understanding the effects of climate change and making informed decisions about water management and crop patterns. The objective of the presented study was to investigate precipitation trends, analyze temporal and spatial variations, and identify potential change points in Turkey throughout the period from 1980 to 2019. Precipitation data were analyzed for both regional and 81 meteorological stations in Turkey on a monthly, seasonal and annual basis. Spearman rank correlation and Mann-Kendall tests were utilized to detect possible trends, and Sen's slope test to estimate the magnitude of change throughout the entire time series. The average precipitation amount of Turkey was determined 639.2 mm between 1980-2019 years. While Central Anatolian and Eastern Anatolian regions had below 639.2 mm, other regions were above. The range of seasonal precipitation values were found for winter 128.7-320.8 mm, 108.9-260.0 mm for spring, 43.9-109.3 mm for summer and 79.7-238.4 mm for autumn. The analysis of the data revealed no significant increase or decrease in annual values on a regional basis, with the greatest change on a seasonal basis being observed in the winter. The 40-yr trends of annual precipitation data belonging to 81 stations were decreasing in 23 provinces and increasing in 58 provinces, and 11 of them (14% of the total) were found to be statistically significant. Moreover, November was found to be a month of particular significance in terms of precipitation changes across the country, with a decrease observed in 80 out of 81 provinces. Spatial distribution analysis showed that the magnitude of variation in precipitation decreased as one moved from the southern to the northern regions of the country.

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Section: Discussionmentioning

confidence: 57%

Trends and variability in precipitation across Turkey: a multimethod statistical analysis

Yetik,

Arslan,

Şen

2023

Theor Appl Climatol

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“…It revealed that 14 stations were not homogeneous according to the Pettitt test, which confirmed that it was more sensitive in detecting inhomogeneity for time series. Şenocak & Emek (2019) examined the homogeneity of Monthly Precipitation data of 46 meteorological stations in the Eastern Anatolia Region with the Run and Pettitt tests. The results showed that the data of seven stations according to the Pettitt test and one station according to the Run test were not homogeneous.…”

Section: Introductionmentioning

confidence: 99%

Homogeneity and Change Point Detection Analysis of Seasonal and Annual Precipitation and Temperature Series Van, Türkiye

YAŞA

Yüce

Eşit

2023

Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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Researcher which study water resources, hydrological processes, and climate change fields are given of high importance to the accuracy and consistency of historical temperature and precipitation series. In this regard, Homogeneity tests are a helpful tool to manage the accuracy and consistency of the data. In this study, the homogeneity of seasonal and annual temperature and precipitation is examined using Standard Normal Homogeneity (SNHT), Pettitt (PT), Buishand Range (BR), and Cumulative Deviation (CD) tests at a significance level of 0.05. The four homogeneity tests are assessed using long-term annual and seasonal precipitation and temperature records obtained from five meteorological stations located in Van, Turkey. Finally, change point detection is investigated for each station. According to the results, the annual mean temperature rejects H0 hypothesis for all stations by four tests. While Ha alternative hypothesis is accepted for stations 17172 and 17852 and 17880 at annual total precipitation, stations 17784 and 17812 are observed as doubtful. Seasonal results revealed that although it is rarely seen that there is homogeneity, it can be concluded that the homogeneity is broken in the precipitation and temperature data, especially in the temperature data. It can be seen that stations 17784 and 17852 generally experienced changes after 2000, whereas stations 17172, 17812, and 17880 experienced changes before this year in the series. The results of this study constitute a source of information in terms of the reliability of the meteorological data series used in climate research, hydrological modeling, and statistical research to be carried out in this region. As a result, the reliability of the data should be questioned in the studies to be carried out in the Van region and the data should be made reliable in the projects to be carried out.

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“…2001;Türkeş, 1996;Tayanç vd., 1997;Kadıoğlu, 1997;Çiçek, 2003;Tosic ve Unkasevic 2005;Karabulut ve Cosun, 2009;Emek, 2014;Addisu, vd. 2015;Polat ve Sunkar, 2017;Asfaw vd., 2017;Rahman, vd., 2017;Karaosmanoğlu ve Günek, 2018;Şenocak ve Emek, 2019;Coşkun, 2020a;2020b;2020d). Hidrografik havzalarda ise akım değişkeni önemle takip edilerek sıcaklık, yağış, buharlaşma gibi meteorolojik parametrelerle bağı oluşturulmalıdır.…”

Section: Introductionunclassified

Aras-Kura Kapali Havzasinin Ortalama Sicaklik, Yağiş Ve Akim Veri̇leri̇ni̇n Trend Anali̇zi̇ (Türki̇ye)

Coşkun

2020

Fırat Üniversitesi Sosyal Bilimler Dergisi

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kullanılarak trend analizi yapmak oluşturmaktadır. Havza genelinde uzun yıllar boyunca ölçüm yapan meteoroloji ve akım gözlem istasyonlarının aylık ölçülmüş ortalama sıcaklık, yağış ve akım verileri ele alınarak bu verilerin yıllık ve mevsimlik eğilimlerini analiz etmek araştırmanın amacını oluşturmaktadır. Kapalı havzalarda iklim parametrelerindeki değişikliğin daha kolay fark edileceği düşüncesiyle böyle bir konu seçilmiştir. Ayrıca ulusal ve uluslararası literatüre iklim değişikliği çalışmaları üzerine bir katkı ve bir Türkiye örneğinin daha kazandırılması istenmiştir. Araştırmada yöntem olarak Mann-Kendall Testi ve Spearman'ın Rho Testi temel alınmıştır. Elde edilen sonuçlara göre havza genelinde ortalama sıcaklıklarda anlamlı artışlar gözlenirken yağış olarak Ardahan ve Kars meteoroloji istasyonlarında anlamlı artışa rastlanmış diğer istasyonlarda ise bir eğilim gözlenmemiştir. Akım gözlem istasyonlarından Kağızman istasyonunda akımda anlamlı artış, Sarısu Nonak istasyonunda anlamlı azalış, diğer istasyonlarda ise bir eğilime rastlanmamıştır. Havza genelinde gözlenen sıcaklık artışları yağış ve akım üzerinde önemli bir etkiye sahip olmadığı anlaşılmaktadır.

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Trend Analizi Yöntemleri Kullanılarak Doğu Anadolu Bölgesi Aylık Yağış Miktarlarının Değerlendirilmesi

Cited by 13 publications

References 12 publications

Trends and variability in precipitation across Turkey: a multimethod statistical analysis

Trends and variability in precipitation across Turkey: a multimethod statistical analysis

Homogeneity and Change Point Detection Analysis of Seasonal and Annual Precipitation and Temperature Series Van, Türkiye

Aras-Kura Kapali Havzasinin Ortalama Sicaklik, Yağiş Ve Akim Veri̇leri̇ni̇n Trend Anali̇zi̇ (Türki̇ye)

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