Research on Regional Flood Disaster Resilience Using an Improved Projection Pursuit Model Based on Bald Eagle Search Optimization Algorithm.

Aiming at the problems of weak evaluation methods and unclear driving mechanism of regional flood disaster resilience, an evaluation index system of flood disaster resilience from natural, economic, social and technical dimensions was constructed, and Projection Pursuit Model Based on Bald Eagle Search Optimization Algorithm(BES-PP)was established. Based on this, the BES-PP model was used to evaluate the flood disaster resilience of Jiamusi City from 2003 to 2020. The results show that the resilience level of Jiamusi city can be divided into three stages: the first stage (2003-2006) resilience rose steadily but at a low level; the second stage (2007-2013) resilience fluctuated obviously; the third stage (2014-2020) resilience rose rapidly and finally reached a high level. In order to analyze the driving mechanism, the BES-PP model was used to analyze the weights of each index. The results showed that the natural rights-protecting weights of economic peacekeeping reached 1.211 68 and 0.932 42, respectively, and their average weights reached 0.302 92 and 0.310 81, which were much higher than the technical dimensions of social peacekeeping. It shows that the index of natural and economic dimensions has a high degree of influence on the resilience of flood disaster and the important role of natural and economic factors in avoiding flood disaster should be paid attention to. In order to verify the performance of the BES-PP model, Projection Pursuit Model Based on Slime Mould Algorithm (SMA-PP)and Projection Pursuit Model Based on Whale Optimization Algorithm (WOA-PP) are introduced for comparative analysis. The results show that the BES-PP model has obvious advantages in performance. In addition, the evaluation results of BES-PP, SMA-PP and WOA-PP were analyzed by using the serial number sum theory, and it was found that the evaluation results of the BES-PP model were more reasonable. The research results provide a scientific basis for the improvement of disaster prevention and reduction capacity of Jiamusi city, and also provide some valuable information for the assessment of disaster resilience. [ABSTRACT FROM AUTHOR]