Floods are considered as one of the most frequent natural disasters and flood risk assessment is an important support for flood prevention and disaster reduction. This study establishes a methodological framework for evaluating the flood risk of Hun-Tai flood protection zone due to the typical floods. Firstly, by building a two-dimensional numerical model of flooding, the spatial and temporal evolution process of dike-break flood in the study area was simulated and analyzed. Secondly, taking grids as research objects and considering the actual situation, a risk evaluation index system was established, and the subjective weights of the indices calculated by the AHP and the objective weights of the indices calculated by the entropy weight method were combined through the level difference maximization method (LDMM). Finally, the K-Means clustering algorithm was used to perform a cluster analysis on the comprehensive scores of the evaluation objects, and the risk situation of a typical dike-breaking flooding was obtained. The results of the study show that, the LDMM can reasonably evaluate the flood risk, and can avoid the “multiplication effect” that may occur in the multiplicative synthesis method; when a 100-year flow process occurs at the combination of Chituozi and Majiapuzi dike-break, the moderate and higher flood risk areas cover 89.64% of total area.
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