Journal ArticleDOI
Trend Identification Simulation and Application
Reads0
Chats0
TLDR
The main purpose of this paper is to provide simulation results and applications of a trend analysis methodology that is not affected from such a restriction.Abstract:
Trend analysis occupy a significant role in the climate change studies for almost three decades. It is significant to try and identify monotonic trends in a given time series so as to make future predictions about the possible consequences on the urban environment, water resources, agriculture, and many other socioeconomic aspects of life. Although there are now classically accepted and frequently used trend tests in the open literature, such as Mann-Kendall trend analysis and Spearman’s rho test, they are based on some restrictive assumptions as normality, serial independence, and rather long sample sizes. Also, they search for a single monotonic trend without any specification such as low, medium, and high values, which may have different trend patterns. Many climatological records have serial dependence, and therefore, it is very helpful to provide a methodology that is not affected from such a restriction. It is the main purpose of this paper to provide simulation results and applications of a...read more
Citations
More filters
Journal ArticleDOI
Comparison of Mann–Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey
Ozgur Kisi,Murat Ay +1 more
TL;DR: In this article, a new trend method recently proposed by Sen was used for water parameters, pH, T, EC, Na+, K+, CO 3 -2, HCO 3 -, Cl−, SO 4 - 2, B+3 and Q recorded at five different stations (station numbers and locations) selected from the Kizilirmak River in Turkey.
Journal ArticleDOI
Innovative trend analysis of annual and seasonal rainfall and extreme values in Shaanxi, China, since the 1950s
TL;DR: Wang et al. as discussed by the authors investigated the trends in annual and seasonal rainfall at 14 rainfall stations in Shaanxi Province, China, using an innovative trend analysis (ITA), Mann-Kendall test and linear regression analysis.
Journal ArticleDOI
Innovative trend significance test and applications
TL;DR: In this paper, a non-parametric basis without any restrictive assumption is proposed for trend identification in a nonparametric manner, and its application is rather simple with the concept of sub-series comparisons that are extracted from the main time series.
Journal ArticleDOI
Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches.
Bushra Praveen,Swapan Talukdar,Shahfahad,Susanta Mahato,Jayanta Mondal,Pritee Sharma,Abu Reza Md. Towfiqul Islam,Atiqur Rahman +7 more
TL;DR: The results derived from ECMWF ERA5 reanalysis data exhibit that increasing/decreasing precipitation convective rate, elevated low cloud cover and inadequate vertically integrated moisture divergence might have influenced on change of rainfall in India.
Journal ArticleDOI
Trend Assessment by the Innovative-Şen Method
İsmail Dabanlı,İsmail Dabanlı,Zekai Şen,Mehmet Öner Yeleğen,Eyüp Şişman,Bülent Selek,Yavuz Selim Güçlü,Yavuz Selim Güçlü +7 more
TL;DR: In this paper, two well-known procedures are the Mann-Kendall (MK) trend test and the recently innovative-Sen trend method, which provide different aspects of the trend.
References
More filters
Journal ArticleDOI
Estimates of the Regression Coefficient Based on Kendall's Tau
TL;DR: In this article, a simple and robust estimator of regression coefficient β based on Kendall's rank correlation tau is studied, where the point estimator is the median of the set of slopes (Yj - Yi )/(tj-ti ) joining pairs of points with ti ≠ ti.
Journal ArticleDOI
Trends in floods and low flows in the United States: impact of spatial correlation
TL;DR: In this paper, the authors evaluated trends in flood and low flows in the US using a regional average Kendall's S trend test at two spatial scales and over two timeframes using a bootstrap methodology to account for the observed regional cross-correlation of streamflows.
Journal ArticleDOI
Detection of hydrologic trends and variability
TL;DR: In this article, the Mann-Kendall nonparametric test was used to detect trends in hydrologic variables and a permutation approach to estimate the test distribution, and accounts for the correlation structure in the data in determining the significance level of the test results.
Journal ArticleDOI
Trends in Canadian streamflow
TL;DR: In this paper, the authors presented trends computed for the past 30-50 years for 11 hydroclimatic variables obtained from the recently created Canadian Reference Hydrometrie Basin Network database.