An ecological reserve evaluation and site selection model based on AHP method and cluster analysis
DOI:
https://doi.org/10.54097/hset.v56i.10699Keywords:
spss; information retrieval; AHP; entropy weight method; nonlinear multiple regression fitting; systematic cluster analysis.Abstract
On September 22, 2020, the Chinese government proposed in the 75th United Nations General Assembly that "China will strive to reach peak carbon by 2030 and achieve carbon neutrality by 2060." Adhering to the concept that green water and green mountains are priceless treasures, environmental protection and natural restoration are put in the first place. It is of practical significance to study ecological protection construction and its environmental impact assessment. In this paper, we focus on the impact evaluation of the ecological protection construction of the Seyhanba Forest, based on the mining and analysis of the collected official data and with the help of spss and other software, we give the evaluation model of the impact of Seyhanba on the environment before and after restoration, the mathematical model of the impact evaluation of Seyhanba on the ability of Beijing to resist sandstorms, and the mathematical model of other areas in China that need to build ecological reserves, and extend to the Asia-Pacific region. Mathematical models were provided for the construction of ecological reserves in other countries.
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