中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Comparison of the MK test and EMD method for trend identification in hydrological time series

文献类型:SCI/SSCI论文

作者Sang Y. F. ; Wang Z. G. ; Liu C. M.
发表日期2014
关键词Hydrological time series analysis Trend identification Mann-Kendall test Empirical mode decomposition Statistical significance empirical mode decomposition hilbert spectrum streamflow flow
英文摘要Trend identification is an important issue in hydrological time series analysis, but it is also a difficult task due to the diverse performances of methods. This paper mainly investigated the performances between the Mann-Kendall (MM) test and the empirical mode decomposition (EMD) method for trend identification of series. Analyses of both synthetic and observed series indicate the better performance of EMD compared with the other. The results show that pre-whitening cannot really improve trend identification when using the MM test, but cause wrong results sometimes. It can be due to the good correlation of trend, so pre-whitening would weaken trend's magnitude. If the trend of the analyzed series has small magnitude, it cannot be accurately identified by the MM test, because the trend would be submerged too severely by other components of series to accurately identify trend. When the analyzed series has short length, its trend cannot be accurately identified by the MM test. However, the EMD method can eliminate the influences of trends' magnitude and series' length, so it has more effective power for trend identification. As a result, it is suggested that series' trend can be directly identified by the MM test but need not do pre-whitening; moreover, the influences of trends' magnitude should be carefully considered for trend identification. Comparatively, the EMD method can adaptively determine the specific shape of the nonlinear and non-stationary trend of series by considering statistical significance, so it can be an effective alternative for trend identification of hydrological time series. (C) 2013 Elsevier B.V. All rights reserved.
出处Journal of Hydrology
510
293-298
收录类别SCI
语种英语
ISSN号0022-1694
源URL[http://ir.igsnrr.ac.cn/handle/311030/29634]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Sang Y. F.,Wang Z. G.,Liu C. M.. Comparison of the MK test and EMD method for trend identification in hydrological time series. 2014.

入库方式: OAI收割

来源:地理科学与资源研究所

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