TITLE:
Hydrological Mann-Kendal Multivariate Trends Analysis in the Upper Yangtze River Basin
AUTHORS:
Lei Ye, Jianzhong Zhou, Xiaofan Zeng, Muhammad Tayyab
KEYWORDS:
Trend Analysis, Multivariate Mann-Kendal Test, Hydrological Variable, Upper Yangtze River Basin
JOURNAL NAME:
Journal of Geoscience and Environment Protection,
Vol.3 No.10,
December
18,
2015
ABSTRACT: Hydrological events should be
described through several correlated variables, so multivariate HFA has gained
popularity and become an active research field during recent years. However, at present multivariate HFA mainly focuses directly on fitting the frequency distribution
without confirming whether the assumptions are satisfied. Neglecting testing
these assumptions could get severely wrong frequency distribution. This paper
uses multivariate Mann-Kendal testing to detect the multivariate trends of
annual flood peak and annual maximum 15 day volume for four control
hydrological stations in theUpper Yangtze River Basin.
Results indicate that multivariate test could detect the trends of
joint variables, whereas univariate tests can only detect the univariate
trends. Therefore, it is recommended to jointly apply univariate and
multivariate trend tests to capture all the existing trends.