Study on Sand Prevention Characteristics and Factors of Forest Farm Based on TOPSIS and Pearson Correlation Coefficient

Abstract

China's Saihanba Forest Farm has recovered from the desert to become an ecological green farm with stable sand prevention functions. However, there is also a new problem on the road to green development, namely the restoration of ecology. Objective To evaluate the role of environmental protection areas in resisting sand storms, protecting the environment and maintaining ecological balance and stability. Taking Saihanba Forest Farm as an example, we studied and extended the protection model to the Asia-Pacific region and completed the following analysis based on the information provided by the given problem and the big data on the network. Firstly, a new comprehensive evaluation index system of saihanba ecological environment was proposed using entropy weight TOPSIS comprehensive evaluation method, which integrated the effects of ecosystem state, ecosystem balance, ecosystem protection and climate conditions. Annual composite indexes were defined in calculating the final results. Then, by analyzing the local air index in Beijing and the forest resources in the Saihanba area, we established the Pearson correlation coefficient model considering the five factors: forest coverage rate, forest coverage rate, sulfur dioxide (SO₂), and nitrogen dioxide (NO₂) and PM10.