基于BORDA计数法的多元水文时间序列相似性分析

本文针对水文时间序列的特点和当前多元时间序列相似性分析研究的不足，提出了一种新的基于BORDA数的多元水文时间序列相似性度量计算方法。该方法首先根据多元水文时间序列数据复杂性进行主成分变换降维，然后利用线性分段斜率距离分别计算单一序列的相似性，最后采用基于BORDA计数法的投票方法获得多元水文时间序列整体相似性。为了证明提出方法的可行性和有效性，分别以太湖五站水位序列和宜丰洪水过程相似性分析为例进行了验证。分析结果表明，基于BORDA计数法的多元水文时间序列相似性度量计算方法可以满足防汛指挥中相似水文过程查找的需要。

BORDA counting method based similarity analysis of multivariate hydrological time series

A new similarity analysis for multivariate hydrological time series is proposed. Firstly, the main component dimensions of time series are reduced according to the complexity of the target data. Then, the similarity of single time series is computed based on the slope distance of piecewise linear segments. At last, the overall similarity of the multivariate time series is obtained by synthesizing the single similarity of each series based on the BORDA counting method. The validity of the proposed method is verified by the analysis results of the water level data obtained from five gauge stations in the Taihu Lake and the flood profile data observed at the Yifeng River basin.