Identification of trend and probability distribution for time series of annual peak flow in Tapi Basin, India

Abstract

This study deals with trend analysis of observed annual peak flow time series data at four stream gauging stations in the Tapi Basin. Innovative trend analysis, recently proposed by S°en, and Mann Kendall test are used to ascertain the trend in extreme annual flow (flood) at aforesaid gauging stations in the Tapi Basin. Also, the time series of extreme flow data have been checked for their serial correlation and, subsequently, flood frequency analysis is undertaken to obtain floods of different return periods. The fitted probability distributions are also used to predict extreme flow into the Ukai Reservoir on the basis of information from upstream gauging stations. The methodology has also been used to predict runoff into the reservoir from the unguaged catchments.

Kuzey Marmara Otoyolunda dere köprüsü tasarımı ve uygulaması: Alemdağ dere köprüsü örneği

“…Bu analiz için yukarıda da ismi verilen bazı yöntemler ortaya atılmıştır. Birçok araştırmacı [19][20][21][22][23][24] [18].…”

“…Bu analiz için yukarıda da ismi verilen bazı yöntemler ortaya atılmıştır. Birçok araştırmacı [19][20][21][22][23][24] tarafından uygulaması yapılan 1:1 doğru (45 o ) yöntemi (Şekil 1) bu çalışmada trendi belirlemek için kullanılmıştır. Bu basit yöntemin uygulama adımlarını şu şekilde sıralamak mümkündür.…”

Trend analysis method on vertical axis and comparison with Şen’s ITA approach

“…Sonali and Kumar (2013) reviewed trend test methodologies and implemented them to determine trend conditions in temperature data. Timbadiya et al (2013) identi ed the trends using ITA for time series of annual peak ow in Tapi Basin, India. Saplioglu et al (2014) searched runoff trends on the western of Mediterranean region in Turkey.…”

Analysis of Hydrological Drought Trends in the Gap Region (Southeastern Turkey) by Mann-Kendall Test and Innovative Şen Method

“…However, almost all the hydro-climate records have significant serial correlations at least on short memory basis, and efficient, effective, and optimum management of water resources requires identification of trends not only monotonically over a given time period but also whether the low, medium, and high values have separate trends (Şen, 2012, 2017). For this reason, Şen (2012) proposed the Innovative Şen Metod (ISM), which has found wide application in hydrology researches (Haktanir and Çitakoglu, 2014;Öztopal and Şen, 2017;Sonali and Kumar, 2013;Dabanli et al, 2016;Mishra and Coulibaly, 2014;Timbadiya et al, 2013). The ISM does not require any assumptions, and it base on the comparison of the two ascendingly ordered halves from the original time series.…”