Research on Regional Flood Disaster Risk Assessment Based on PCA and BP Neural Network

Flood disaster management is an important part of flood risk assessment. A regional flood disaster risk assessment index system is established in this paper. Then principal component analysis (PCA) method and BP neural network are combined, and a regional flood disaster risk assessment of PCA-BP neural network model is established. PCA-BP neural network model analyze the loss of flood disaster about 30 China´s provinces and cities in 2006 to assess the regional flood disaster risk, the results of the assessment are in line with actual situation, the flood disaster risk assessment model which is established in this paper is valid.