The balance between EDPs placement and culture protection

Global climate change has created an increasing number of environmentally displaced people (EDPs). As for the placement of EDPs, we analyze the problem from two aspects. On the one hand, we calculate the number of persons who may become EDPs. We build the EDPs Prediction Model Based on RBF Neural Network to predict the number of EDPs in some countries along the Pacific coast in 5 years. The results demonstrate that Maldives will have the largest number of EDPs, about 9,758 and Australia will have the smallest number, about 873. On the other hand, we analyze the national ability to resettle EDPs. We choose a number of countries with different economic conditions and cultural backgrounds, and analyzed their Receiving Capabilities, Receiving Pressure of EDPs and Crisis Tolerance to provide a basis for placement of EDPs. For the resettlement formulation of policies for EDPs, we first design the Network Flow Migration Model. Then, we optimize the impact coefficient of EDPs on culture, and give EDPs distribution policies in some countries. Considering the personal choices, migration situation and culture beliefs of EDPs, we use the Multi-Objective Optimization Equation to optimize the network flow model. Finally, we propose the policies to resettle EDPs and protect culture according to the risk of culture loss and the resettlement ability of different countries.