ABSTRACT
The losses of flood disasters have been persistently increasing, driven by the exposure at risk from the holistic perspective over the world (Zbigniew et al. 2014). There are huge property losses and casualties due to frequent flood disasters in China (Li et al. 2012), which severely hamper the sustainable development of society. The situation of flood hazards is especially complex in Eastern Sichuan, where floods have been happening frequently in recent decades and are likely to affect the middle and lower reaches of the Yangtze River. Flood risk and losses are the results of the interaction between the natural environmental and human society (Highfield 2000). Flood risk evaluation is essential to reduce the losses induced by flood disasters (Fleming 2012). Therefore, many scholars have researched flood risk based on various methods. In India, the flood vulnerability assessment of human settlements was studied through remote sensing and the geographic information system (GIS) (Sanyal & Lu 2005). The flood hazard risk in China was calculated based on the diffused-interior-outerset model (Zou et al. 2012). Information diffusion and variable fuzzy sets were used to analyze flood risk (Li et al. 2012). The flood risk assessment system was established at the global scale (Ward et al. 2013). Flood risk management was analyzed in the floodplain by contingent valuation (Ghanbarpour et al. 2014). The focus of the above studies is the application
of new technologies and calculation methods on risk assessment, but few researchers have attempted to discuss the uncertainty and high-dimension information, which affects the results and final decision of the risk calculation (Wardekker et al. 2008).
