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http://dx.doi.org/10.3741/JKWRA.2014.47.3.223

The Application of Various Non-parametric Trend Tests to Observed and Future Rainfall Data in the Nakdong River Basin  

Kim, Sang Ug (Department of Civil Engineering, Kangwon National University)
Lee, Yeong Seob (Department of Civil Engineering, Kangwon National University)
Lee, Cheol-Eung (Department of Civil Engineering, Kangwon National University)
Publication Information
Journal of Korea Water Resources Association / v.47, no.3, 2014 , pp. 223-235 More about this Journal
Abstract
In recent, the various methods to predict the hydrological impacts due to climate change have been developed and applied. Especially the trend analysis using observed and future hydrological data has been performed than ever. Parametric or non-parametric tests can be applied for a trend analysis. However, the non-parametric tests have been commonly used in the case of trend analysis using hydrological data. Therefore, the two types of non-parametric tests, Mann-Kendall (MK) test and Spearman Rho (SR) test, were used to detect the trend in the observed and future rainfall data that were collected from the Nakdong River basin. Also, the Pre-Whitening (PW) and the Trend Free Pre-Whitening (TFPW) as the pre-process of the trend analysis were performed. Also, the result of trend analysis suggest that those pre-processes have a statistically significant effect. Additionally, the Sequential Mann-Kendall (SMK) was used to reveal the beginning point of a trend in the observed and future rainfall data in the Nakdong River basin. The rainfall patterns in most rainfall gauges using the observed rainfall show the increasing trend and the abrupt changes in the specific months (from April to May and September to October). Also, the beginning point of the trend is brought forward by several months when climate change is accelerated. Finally, the results of this study can provide the useful background for the research related to climate change and water resources planning in the Nakdong River basin.
Keywords
trend analysis; TFPW; SMK test; climate change; non-parametric test; rainfall analysis;
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