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Environmentally Displaced Persons (EDPs) need to relocate, but there is also the risk of losing a unique culture, language, and way of life. This study uses mathematical models associated with the efficiency of biological enzyme clustering in order to assess the degree to which EDPs are at risk of loss of culture and determine the potential impact of proposed policies.There were critical objectives of this study, firstly, to predict the number of people at risk of losing their homeland at a particular time in the future. Second, based on the aforementioned projections, find ethical and beneficial policies to move these Environmentally Displaced Persons (EDPs) in a way such that EDPs can honorably preserve their unique cultural heritage. We took into account that these small island nations have small populations and individual cultural differences exist within each different island.A Sea Level Rise-Based Climate Impact Migration Model was proposed to find the number of people affected by the land lost from the Sea Level Rise (SLR). In the direction of accurate projections, our team designed two simulations that were executed on the SLR Model. Fundamentally, an Exponential Regression Model was used to calculate the future total population of Maldives (one of the at-risk-nations in danger of flooding) presuming the population followed the exponential growth. Next, we used a Levenberg-Marquardt Algorithm to find the non-linear model for the flooded area of the land and Water Drop Waveform Model to also calculate the flooded area on the island. We predict about 13% of people lose their homes by 2050, 72% by 2080, and 93% by 2100.Next, a Two-Step Metabolic Pathway Model was adopted to explain social heritage preservation within a confined area based on the idea that two-step metabolism and cultural transition work in a complementary fashion. It is known that communication between EDPs and individuals of the host country must go through an intermediate to communicate, this analogous phenomenon is seen in the one-way communication between an enzyme and its substrate to catalyze the formation of a product. In our mathematical model, the product is the cultural preservation and the enzyme-substrate complex is mathematically seen by the interaction between the EDPs and individuals of the host country. Just as humans are key to cultural preservation, enzymes-substrate complexes are essential for product formation and we contend that this notion should occur in optimized ratios. We predict there should be twice as many people absorbing the culture than the ones who transfer it. The area of the EDP cluster should be 2.96km squared.Finally, the sensitivity of our proposed mathematical models were evaluated and suggestions for future implementation of political decisions and improvements were promoted.