Research on the protection of wind and sand erosion in Saihanba Forest Farm based on ecological environment assessment model

Xinlin Yang; Jinglei Xu; Peng Zhang

doi:10.54097/hset.v26i.3944

Authors

Xinlin Yang
Jinglei Xu
Peng Zhang

DOI:

https://doi.org/10.54097/hset.v26i.3944

Keywords:

Saihanba Forest Farm, meta-automata simulation algorithm, OLS regression analysis, quadratic coherence method, wind and sand erosion.

Abstract

The establishment of the Saihanba forest has played a very important role in preventing wind and sand and maintaining the ecology. Mathematical modeling methods including meta-automata simulation algorithm, OLS regression analysis, and quadratic coherence method were used to investigate the impacts of the Saihanba forest. After the establishment of the Saihanba Tree Farm, its ability to prevent wind and sand and maintain ecological balance was greatly improved, and the environmental conditions were greatly improved. In addition, we simulated the wind and sand attack on Beijing using a meta-automaton simulation, and specifically analyzed the wind and sand impact on five height classes of buildings. The results showed that the establishment of the Saihanba forest farm had a significant effect on improving the ability of Beijing to withstand sandstorms.

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