Author(s)

Kejia Zhu ¹

Affiliation(s)

¹ School of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210029, China

Corresponding Author

Kejia Zhu

ABSTRACT

In order to explore the important role of Saihanba in resisting wind and sand, protecting the environment, we select the natural state of the environment, the quality of resources and the environment, and the state of ecological protection as the secondary indicators for evaluation. The analytic hierarchy process is introduced to obtain the corresponding weight of each index to construct a comprehensive evaluation model. We find that it has been increasing year by year, and its environmental conditions have improved significantly after the restoration of Saihanba. Then, in order to explore the impact of the restoration of Saihanba Forest Farm in resisting sand and dust storms in Beijing, we construct a TOPSIS comprehensive evaluation model. Finally, we analyze the Spearman grade correlation between the Saihanba Ecological Environment Quality Evaluation Index and the Beijing Anti-Dandstorm Ability Index, and the restoration of Saihanba Forest Farm played an important role in the fight against sand and dust in Beijing.

KEYWORDS

Ecological protection construction, TOPSIS comprehensive evaluation method, analytic hierarchy process

CITE THIS PAPER

Kejia Zhu, Research on the Construction of Ecological Protection and Its Environmental Impact Based on Analytic Hierarchy Process. Environment, Resource and Ecology Journal (2022) Vol. 6: 39-43. DOI: http://dx.doi.org/10.23977/erej.2022.060108.

REFERENCES

[1] Wei Kangyuan, He Qing, Xu Qinshuai. An improved K-means clustering algorithm for forest optimization[J]. Journal of Guizhou University (Natural Science Edition), 2018.
[2] Chen Jing. Research on the development level of open economy in prefectures and cities in Jiangsu Province-TOPSIS comprehensive evaluation model based on entropy weight method[J]. Journal of Nanjing Institute of Technology (Social Science Edition), 2019.
[3] Statistics Bureau of the People's Republic of China. China Statistical Yearbook[M]. Beijing: China Statistics Press, 2020. 
[4] Chen Xue, Wang Yan, Zhao Meifang, Xu Rui. Research on Forest Ecological Environment Evaluation System Based on Analytic Hierarchy Process [J]. Forestry Science and Technology, 2014.

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