Water security assessment in Haihe River Basin using principal component analysis based on Kendall τ

Kendall tau has reasonable theoretic background than Pearson correlation. It can be applied more widely in all aspects. Instead of using widely adopted Pearson correlation or its extensions in a large number of principal component analysis (PCA) instances, we introduce the Kendall tau into the PCA method. PCA is a well-known statistical data analysis algorithm and is aimed to extract feature from high-dimensional data. It is designed to reduce the number of variables to a small number of indices while attempting to preserve the relationships present in the original data. This paper uses PCA based on Kendall tau in water security assessment of Haihe River Basin.