Ecoregion Model Based on Fitting and Clustering

Abstract

With the gradual restoration of Saihanba forest, the positive ecological impact of Saihanba on Beijing, Tianjin and other surrounding areas has become more and more obvious, such as water supply and sandstorm conditions have been improved to a considerable extent. In this paper, the environmental impact assessment model of Saihanba is established, the fitting equation of forest accumulation and growth is constructed, and nine three-level indicators are selected from three aspects of afforestation, water saving and atmospheric regulation, and are calculated by entropy weight method and TOPSIS method. Comprehensive score of ecological environment. At the same time, this paper builds an index system of Beijing's ability to resist sand and dust storms, and uses Spearman's correlation coefficient to analyze the correlation between Saihanba Forest Farm and Beijing's ability to resist sand and dust storms, and conduct a comprehensive evaluation of Beijing's dust-proof ability. The results show that with the restoration of Saihanba, Beijing's sandstorm defense capability has been improved. Secondly, this paper constructs a cluster analysis model based on carbon emission absorption rate, and uses regression fitting method to predict the carbon emission absorption rate of ecological regions in the next few years. The results show that by 2060, the establishment of ecological regions can achieve carbon neutrality in China. and target. And based on this model, the major cities in Vietnam are determined to determine the geographical location of the eco-regions, and the eco-protected areas are calculated according to the percentage of air quality improvement in each city.