Research on the evaluation of ecological environment quality based on fuzzy and PCA-AHP

Ling Zhang; Nian Peng; Ruiqi Zhu

doi:10.1117/12.2684602

24 October 2023 Research on the evaluation of ecological environment quality based on fuzzy and PCA-AHP

Ling Zhang, Nian Peng, Ruiqi Zhu

Proceedings Volume 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023); 1280406 (2023) https://doi.org/10.1117/12.2684602
Event: 2nd International Conference on Sustainable Technology and Management (ICSTM2023), 2023, Dongguan, China

Abstract

Since the natural ecological environment tends to change slowly and the indicators are easy to quantify in a graded manner, while the social ecological environment tends to change rapidly under the intervention of human production and life, and it is difficult to quantify with the same grading standard in different regions and at different times. Therefore, we propose a fuzzy comprehensive evaluation model for the evaluation of the quality of natural ecological environment and a PCA-AHP comprehensive evaluation model for the evaluation of the quality of social ecological environment. Based on the hierarchical analysis method, 12 indicators were selected from five criteria levels, namely water and soil conservation, ecological stability, water conservation, soil improvement and air purification, and the affiliation degree of each indicator to the set of comments was calculated using the fuzzy comprehensive evaluation method. Taking the evaluation of ecological and environmental quality of 31 provincial regions in China as an example, 12 indicators were selected from three criterion levels, namely natural conditions, social economy and environmental pollution, and the combined weight values of each indicator were calculated using PCA and AHP, and the final ecological and environmental quality ranking of each province was obtained based on the data of each of the 31 provinces. The two experimental results were highly consistent with the actual expert evaluations, verifying the rationality of the Fuzzy comprehensive evaluation model and the PCA-AHP comprehensive evaluation model.

Citation Download Citation

Ling Zhang, Nian Peng, and Ruiqi Zhu "Research on the evaluation of ecological environment quality based on fuzzy and PCA-AHP", Proc. SPIE 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023), 1280406 (24 October 2023); https://doi.org/10.1117/12.2684602

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KEYWORDS

Matrices

Environmental sensing

Principal component analysis

Soil science

Forestry

Fuzzy logic

Pollution

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