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Academic Journal of Environment & Earth Science, 2022, 4(1); doi: 10.25236/AJEE.2022.040101.

Research on Saihan Dam Ecological Environment Evaluation Indexes Based on Quantitative Analysis

Author(s)

Yuxiao Yan

Corresponding Author:
Yuxiao Yan
Affiliation(s)

Beijing United University, Beijing, 100101, China

Abstract

The Saihan Dam Forest Farm is currently the largest artificial forest in the world. It has greatly improved the ecological environment of Saihan Dam and the surrounding areas, deeply implements the sustainable development strategy, and provides valuable experience for China's ecological and environmental governance, which is of great guiding significance. We establish an Eco-environmental Status Model from four indexes: ecological abundance, vegetation cover, water conservation and environmental quality. In order to ensure that there is no difference between various factors, we normalize the data and calculate the standard deviation of the data to analyze the weight processing, so as to reduce the result error, so as to obtain the environmental condition of Saihan dam more accurately. Then draw the relationship between each factor and the ecological environment evaluation index, so as to clearly evaluate the impact of Saihan dam restoration on each index.

Keywords

Ecological Protection, Normalization, Saihan Dam

Cite This Paper

Yuxiao Yan. Research on Saihan Dam Ecological Environment Evaluation Indexes Based on Quantitative Analysis. Academic Journal of Environment & Earth Science (2022) Vol. 4 Issue 1: 1-4. https://doi.org/10.25236/AJEE.2022.040101.

References

[1] Liu Yi. Promote the spirit of Sahan Dam to promote the construction of ecological civilization [N]. People's Daily, 2021-11-16 (006).

[2] Liu Wei. Construction of ecological network main city in Hefei City based on ecological risk evaluation [D]. Nanchang University, 2018.

[3] Liao Jinyi, Su Tao. Evaluation of Ecological Environment Quality in Hefei Based on Ecological Environment Status Index [J]. Henan Science and Technology, 2021, 40 (21): 102-105.