Application of Statistical nonparametric tests in Dongting Lake, China: 1961–2012

Abstract

Precise predictions of precipitation trends can play imperative part in economic growth of a state. This study examined precipitation inconsistency for 12 stations at the Dongting Lake, China, over a 52-years study phase (1961-2012). Statistical, nonparametric Mann-Kendall (MK) and Spearman's rho (SR) tests were applied to identify trends seasonal and annual precipitation. The performance of the Mann- Kendall (MK) and Spearman's rho (SR) tests was steady at the tested significance level. The results showed fusion of increasing (positive) and decreasing (negative) trends at different stations within seasonal time scale. Only Yuanjiang River has shown significant trend on seasonal time scale. No significant trends have been exhibited on annual time scale in any case.