Evaluation model and promotion based on the ecological characteristics of Saihanba

College of Science, Beijing Forestry University, Beijing, China.

^* Corresponding author: 798460040@qq.com

Abstract

Saihanba Mechanical Forest Farm is an important sand source control project area in China. In order to promote the excellent case of Saihanba to other regions of the country and even the Asia-Pacific region, we have established a Saihanba ecological environmental impact model and ecological engineering construction assessment model, to provide suggestions for the establishment of ecological protection areas in China and even countries in the Asia-Pacific region. This paper determined the index of Saihanba ecological influence evaluation system using frequency analysis method and theoretical research method, determined the TOPSIS weight based on entropy weight method, to establish a complete ecological and environmental influence evaluation system. Subsequently, the paper introduced the data of relevant indicators around 1962 into the evaluation system, which got good scores, indicating that Saihanba has a great positive impact on the ecological environment. On the basis of problem 1, this paper had redefined the index and weight, established the index system based on the sandstorm background in Beijing, and brought the relevant data of Beijing in recent years into the model, and the establishment of Saihanba had played a relatively significant optimization effect on all the indicators of the sandstorm in Beijing. In view of problem 3, this article was first divided into 9 different ecological system service functional zones according to the National ecological function zoning (revised version) proposed by the Ministry of Environmental Protection and the Chinese Academy of Sciences. Meanwhile, based on the TOPSIS model, proposed a modified model based on DPSIR. The model fully omitted the impact of ecological, economic, policy and other factors on the construction of ecological protection areas .Meanwhile, multi-objective planning method based on genetic algorithm was used to solve the above problems to determine the best number and scale of ecological reserves in the region.