Abstract:

In order to improve the service level of emergency refuge in the process of disaster management, from the perspective of flood disaster, four indexes were selected: risk of disaster causing factor, sensitivity of disaster-bearing environment, vulnerability of carrier and ability of disaster prevention and reduction. The spatial distribution of flood risk was identified through the AHP-entropy weight method model. Its risk value was introduced as a weight to minimize uncovered risk. Combined with minimizing the weighted evacuation distance and minimizing the accessibility difference, a multi-target shelter location selection model was constructed from the perspective of fairness, efficiency and balance. The improved NSGA-II algorithm was used to solve the model, and the existing shelter layout in Xianyou County, Putian City was used as an example for model verification. The results show that compared with the existing shelter layout, the total evacuation distance, uncovered risk value and accessibility difference coefficient in the optimized layout scheme are reduced by 35.90%, 61.47% and 33.62% respectively.

Key words: flood disaster, emergency shelters, location selection model, non-dominant sorting genetic algorithmⅡ(NSGA-II), analytic hierarchy process (AHP) -entropy weight method