Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023)

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Research and quantitative analysis of ecological development trend of Saihanba forest farm

Authors
Huichan Li1, Linshi Zhu1, Maojie Pan1, *
1Guangdong Polytechnic Normal University, No. 293 West Zhongshan Avenue, Guangzhou, Guangdong Province, China
*Corresponding author. Email: jet_pan27@163.com
Corresponding Author
Maojie Pan
Available Online 14 May 2024.
DOI
10.2991/978-94-6463-415-0_80How to use a DOI?
Keywords
TOPSIS algorithm; Saihanba; Ecological civilization; Sandstorm; The environment
Abstract

The cluster analysis method was used to select the more important influencing factors and related data in the ecological environment of Saihanba Forest Farm, and the evaluation was evaluated into three more systematic evaluation indicators. The analytic hierarchy process was used to determine the weight of each influencing factor, and the ecological environment quality evaluation index system of Saihanba Forest Farm was established. This paper takes Beijing’s ability to resist dust storms as an example for evaluation and analysis. Firstly, the entropy weight method-TOPSIS model is used to judge the severity of dust storm changes in Beijing. Secondly, six Saihanba environmental index parameters are selected to establish a mathematical model of Saihanba for Beijing’s ability to resist dust storms. Experiments show that the model provides an important basis for the positive effect of the restoration of Saihanba Forest Farm on Beijing’s ability to resist dust storms.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
14 May 2024
ISBN
10.2991/978-94-6463-415-0_80
ISSN
2589-4943
DOI
10.2991/978-94-6463-415-0_80How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Huichan Li
AU  - Linshi Zhu
AU  - Maojie Pan
PY  - 2024
DA  - 2024/05/14
TI  - Research and quantitative analysis of ecological development trend of Saihanba forest farm
BT  - Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023)
PB  - Atlantis Press
SP  - 751
EP  - 765
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-415-0_80
DO  - 10.2991/978-94-6463-415-0_80
ID  - Li2024
ER  -