Author(s)

Yan Hou ¹, Linxiao Gou ¹, Jiawen Ren ¹, Yuntong Hou ², Yumeng Ye ¹

Affiliation(s)

¹ School of Metallurgical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China
² School of Intelligent Manufacturing, Luoyang Institute of Science and Technology, Luoyang, Henan, 471023, China

Corresponding Author

Yan Hou

ABSTRACT

In this paper, in order to make a comprehensive evaluation of the environment and promote its ecological protection construction, a TOPSIS evaluation model under the CRITIC assignment method was built based on the data of the Seyhanba forestry site by selecting indicators of three aspects: geographic environment, ecological quality and climate mediation. Pearson correlation analysis was done between the indicators of Seyhanba and those of Beijing, and some indicators with strong correlation were selected. Then, using principal component analysis, the environmental condition of Beijing, was scored. After solving for the scores, the impact effect of the Sehanba mechanical forestry site on Beijing was evaluated.

KEYWORDS

TOPSIS method, dimensionality reduction analysis, SPSS, carbon neutrality

CITE THIS PAPER

Yan Hou, Linxiao Gou, Jiawen Ren, Yuntong Hou, Yumeng Ye, A study on the evaluation of environmental factors based on TOPSIS method to construct ecological reserves. Environment, Resource and Ecology Journal (2022) Vol. 6: 62-69. DOI: http://dx.doi.org/10.23977/erej.2022.060308.

REFERENCES

[1] Chen Yuanyuan. Evaluation Research on the Sustainable Development of Saihanba Machinery Forest Farm[D]. Beijing Forestry University, 2019. 
[2] Zhang Lijun, Zhang Xiao. Weighclustering method based on improved CRITIC[J]. Statistics and Decision,2015(22):4.
[3] Li Yanshuang, Zeng Zhenxiang. Application of Principal Composit-ion Analysis in MPMS [J]. Journal of Hebei University of Technology, 1999 (1): 94-97.
[4] Zhang Jijun. Gray Association Analysis[J]. Systems Engineering and Elect-ronics,2005,27(6):4.
[5] Wang Min, Huang Ying. China's Environmental Pollution and Economic Growth[J]. Economics (Quarterly), 2015(1):22.

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