Abstract:

It is important to have a universal standard when assessing the scale of a flood disaster, despite such a widely accepted standard does not currently exist. On the basis of fuzzy clustering iterative model, we proposed a calculation method for disaster standard independent of the time and location of the disaster. A piecewise linear chaotic map based culture differential evolution algorithm was used to optimize the objective function. We verified the efficiency and accuracy of this method by applying it to the data of flood happened in Sichuan province during 1976-2006. The results are reasonable and consistent with the distribution of the flood disaster according to the assessing standard currently used by the Sichuan province. This method can also be applied to the flood disaster assessment in most cases which have complete data.

Key words: flood disaster assessment, assessment standards, fuzzy clustering iterative model (FCI), chaotic culture differential evolution algorithm (CCDE), features of flood distribution, grading of flood scale