ABSTRACT
ABSTRACT: Heavy rainfall is a natural hazard leading to serious disasters with numerous property and life damages. This paper presents a framework for analyzing the integrated risk triggered by heavy rainfall and demonstrates it with a case study in Beijing. Several different probability distributions of heavy rainfall are compared by goodness-of-fit test under this risk analysis framework. An information diffusion approach is used to establish the nonlinear relationship between rainfall intensity and the Disaster Rate Index (DRI) in vulnerability analysis. Finally, quantitative risk index is calculated by integrating the hazard probability and the exposure vulnerability cure. This risk assessment model can be used for fundamental analysis for regional rainfall-induced risk management.
