Improved projection pursuit method on risk prioritization of barrier lake

The projection pursuit model projects high-dimensional data into low-dimensional space, and the data could be analyzed conveniently. Considering the affections of length of projection value vector, new projection index function is presented. Using the improved projection pursuit model the subjective affections in risk prioritization of barrier lake could be reduced. The projection values of dam danger and consequence are firstly calculated to describe relative degree of dam danger and consequence respectively. Then their product is used to curve the relative degree of risk, and finally the risk prioritization of barrier lakes could be obtained. Results show that the risk is mainly controlled by the consequence of barrier dam failure and Tangjiashan barrier lake is ranked at the top, consisting with the actual order of removal project.