Paper
27 September 2022 Study on environmental assessment of Saihanba based on AHP-EWM and linear clustering
Chun Liu, Zhicong Hou
Author Affiliations +
Proceedings Volume 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022); 123450V (2022) https://doi.org/10.1117/12.2649006
Event: 2022 International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 2022, Qingdao, China
Abstract
Saihanba ecological area is a concentrated distribution area of natural vegetation drawn from the forest land under the jurisdiction of Hebei Saihanba mechanical forest farm. Through the construction of ecological area, Saihanba has realized the transformation from yellow sand, no birds and trees to green development. Therefore, the study of Saihanba ecological area has deep academic significance. However, scholars mostly start from the qualitative point of view on the effect of Saihanba forest ecosystem Nature Reserve. This paper first uses the analytic hierarchy process model (AHP) based on entropy weight method (EWM) to analyze the impact of Saihanba ecological area construction on the local environment from the qualitative and quantitative point of view. Based on this model, this paper makes a qualitative and quantitative evaluation on the effect of the model extended to the whole country, and demonstrates its impact on China's carbon neutralization effect. The model data shows that the Saihanba for ecological area construction plays a positive role in promoting the environment. The score shows that the environmental score of Saihanba in 2020 is 32 times that of the year before the implementation of ecological area, which fully demonstrates the effectiveness and importance of the Saihanba ecological protection model and is an important measure of China's green mountain strategy. In order to explore whether the Saihanba ecological protection model has popularization significance for the whole country, the cluster model is used for research and analysis. The research shows that the Saihanba ecological protection model has a positive reference effect for other regions in the country. Through the model calculation and analysis, it is found that China is positive for the realization of carbon neutralization. However, if some cities in China implement carbon neutralization at the current speed, they may not be able to achieve the goal of carbon neutralization, Therefore, through the verification of linear regression equation model, this paper puts forward some suggestions to improve the planting rate and strengthen the implementation of carbon neutralization policy.
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Chun Liu and Zhicong Hou "Study on environmental assessment of Saihanba based on AHP-EWM and linear clustering", Proc. SPIE 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 123450V (27 September 2022); https://doi.org/10.1117/12.2649006
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KEYWORDS
Carbon

Data modeling

Analytical research

Climatology

Absorption

Data analysis

Forestry

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