General information diffusion method in risk analysis

Abstract

Flood is a most serious hazard to life and property. The traditional probability statistical method is acceptable in analyzing the flood risk but requires a large sample size of hydrological data. This paper puts forward a improved method based on information diffusion method for flood analysis. Information diffusion theory helps to extract as much useful information as possible from the sample and thus improves the accuracy of system recognition. Furthermore, information diffusion theory helps to extract as much useful information as possible from the sample and thus improves the accuracy of system recognition. This technique contributes to a reasonable prediction of natural disasters risk. As an example, its application is verified in the flood risk analysis in China, and the risks of different flood grades are obtained. Our model yield very good results and suggests that the methodology is effective and practical so that it has the potentiality to be used to forecast the flood risk in flood risk management. © 2012 Springer-Verlag.