Storm surge economic losses of China's typical provinces based on grey relational analysis

Abstract

Chinese coastal provinces are suffering from storm surge, which causes huge economic losses, since several years. The purpose of this paper is to calculate the grey correlation degree according to the similarity in the change rate of direct economic losses between different provinces with GCRA model and cluster the coastal provinces. This paper selects the most typical five coastal provinces, using the rate of change associated and grey clustering method to analyze the direct economic losses caused by the storm surge from 2009 to 2016. Through analyzing the direct loss of storm surge in five typical coastal provinces by GCRA model, we can draw the conclusion that five typical provinces can be divided into three types. For the government and related disaster management departments, when they make the policy and take relevant measures in the process of storm surge prevention, they may take similar policies or measures for the same type of provinces, in order to improve administrative efficiency. The proposed GCRA model is very important for calculating the grey correlation degree according to the similarity in the change rate between sequences.