Author(s)

Chuchu Sun ¹, Yuhan Zhou ², Jing Han ¹, Yue Hu ³, Aolin Zhang ⁴

Affiliation(s)

¹ College of Economic and Management Nanjing, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 210000, China
² Automation College, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 210000, China
³ Department of Science, Xi'an Jiaotong Liverpool University, Suzhou, Jiangsu, 215000, China
⁴ School of Intellectual Property, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, China

Corresponding Author

Chuchu Sun

ABSTRACT

In order to extend the ecological protection model of Saihanba to the whole country, considering the regional heterogeneity, we improve the evaluation index system of problem one, constructing a three-level fuzzy comprehensive evaluation model, scoring the ecological environment status of each region, and then selecting Tianjin, Shanxi, Shandong, Ningxia and Hebei, which have lower scores, as the ecological region construction place. Finally,according to the national average level and the selected regions’ own situation, suggestions on the number and scale of construction are given,and through the carbon absorption and forest area fitting curve, the contribution of ecological area construction to China's carbon neutral target is judged.

KEYWORDS

Entropy weight method, fuzzy comprehensive evaluation, carbon neutral, curve fitting algorithm, Saihanba

CITE THIS PAPER

Chuchu Sun, Yuhan Zhou, Jing Han, Yue Hu, Aolin Zhang, Extension and application of Saihanba ecological model based on fuzzy comprehensive evaluation method. Environment, Resource and Ecology Journal (2021) 5: 50-54. DOI: http://dx.doi.org/10.23977/erej.2021.050410.

REFERENCES

[1] Evaluation of Ecological Environment Quality of Changsha Shiyan Lake Forest Park_JIN Tian_3 Construction of Ecological Environment Evaluation Index System and Evaluation Model of Forest Park_23_37.
[2] Zhang Tiren, Zhang Mingwei, Jiang Jianying. Changes and path analysis of sand and dust weather in Beijing in the past 60 years [J]. Plateau Meteorology, 2012, 31(2): 487-491.
[3] Huang Hongli and Wang Ziqian, The change characteristics and possible causes of sand and dust weather in Beijing from 1980 to 2017. Value Engineering, 2020. 39(24): 177-180.

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