Precipitation is a crucial component of the water cycle, and its unpredictability may dramatically influence agriculture, ecosystems, and water resource management. On the other hand, climate variability has caused water scarcity in many countries in recent years. Therefore, it is extremely important to analyze future changes of precipitation data in countries facing climate change. In this study, the Innovative Polygon Trend Analysis (IPTA) method was applied for precipitation trend detection at seven stations located in the Wadi Sly basin, in Algeria, during a 50-year period (1968–2018). In particular, the IPTA method was applied separately for both arithmetic mean and standard deviation. Additionally, results from the IPTA method were compared to the results of trend analysis based on the Mann–Kendall test and the Sen’s slope estimator. For the different stations, the first results showed that there is no regular polygon in the IPTA graphics, thus indicating that precipitation data varies by years. As an example, IPTA result plots of both the arithmetic mean and standard deviation data for the Saadia station consist of many polygons. This result means that the monthly total precipitation data is not constant and the data is unstable. In any case, the application of the IPTA method showed different trend behaviors, with a precipitation increase in some stations and decrease in others. This increasing and decreasing variability emerges from climate change. IPTA results point to a greater focus on flood risk management in severe seasons and drought risk management in transitional seasons across the Wadi Sly basin. When comparing the results of trend analysis from the IPTA method and the rest of the analyzed tests, good agreement was shown between all methods. This shows that the IPTA method can be used for preliminary analysis trends of monthly precipitation.

The effects of climate change caused by global warming can be seen in changes of climate variables such as precipitation, humidity, and temperatures. These effects of global climate change can be interpreted as a result of the examination of meteorological parameters. One of the most effective methods to investigate these effects is trend analysis. The Innovative Polygon Trend Analysis (IPTA) method is a trend analysis method that has emerged in recent years. The distinctive features of this method compared with other trend methods are that it depends on time series and can compare data series among themselves. Therefore, in this study, the IPTA method was applied to total monthly precipitation data of Susurluk Basin, one of Turkey's important basins. Data from ten precipitation observation stations in Susurluk Basin were used. Data were provided by the General Directorate of State Meteorology Affairs. The length of this data series was 12 years (2006–2017). As a result of the study, since there is no regular polygon in IPTA graphics of each station, it is seen that precipitation data varies by years. While this change is seen increasingly at some stations, it is seen decreasingly at other stations.

Küresel iklim değişikliği üzerine son zamanlarda yapılan çalışmalara bakıldığında tüm dünyada iklim değişikliklerinin etkisi görülmektedir. Küresel iklim değişikliğinin en büyük etkilerinden biri yağışlar üzerinde meydana gelip; bu durum bazı bölgelerde yağış azlığı nedeniyle kuraklığa neden olurken; bazı bölgelerde ise ekstrem yağışlar sonucu sel ve taşkınlar şeklinde kendini göstermektedir. Doğu Karadeniz Havzası topoğrafik yapısı nedeniyle taşkınlara maruz kalma riski altındadır. Küresel iklim değişikliği ile meydana gelecek ekstrem yağışlar bu havzada büyük taşkınlara sebep olacaktır. Dolayısıyla bu çalışmada, Doğu Karadeniz Havzası’nın yıllık ortalama yağış verilerinin gelecekteki trendini araştırmak için Şen Yöntemi ve Trend Yöntemleri kullanılmıştır. Trend yöntemlerini uygulamadan önce verilerin serisel olarak bağımlı olup olmadığını araştırmak için serisel korelasyonuna bakılmıştır. Trend Yöntemlerinden; Mann-Kendall Testi ve Spearman’ın Rho Testi bu çalışmada kullanılmıştır. Şen Yöntemi ve Trend Yöntemleri, bu havzada bulunan meteorolojik istasyonlardan alınan yıllık ortalama yağış verilerine uygulanmıştır. Bu yağış verileri Devlet Meteoroloji İşleri (DMİ) Genel Müdürlüğünden alınmıştır. Yapılan çalışma sonucunda, havzadaki bazı istasyonlarda hem Şen yöntemine göre hem de trend yöntemlerine göre artan bir yağış trendi görülmüştür. Bu sonuç da ileride ekstrem yağışların olabileceği sonucunu ortaya koyabilir.