Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

May 3, 2024


Pages


DOI

Article

Research on the Evaluation Model of Ecological Restoration Benefits of Industrial Waste Land Based on DEA Algorithm

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Authors

Yongle Gao Affiliation:
College of Geomatics, Xi’an University of Science and Technology, Xi’an, Shaanxi, 710054, China.
and Yongchong Yang Affiliation:
College of Geomatics, Xi’an University of Science and Technology, Xi’an, Shaanxi, 710054, China.


Abstract

The escalating spread of industrial wastelands has spotlighted the need for effective ecological restoration. This paper introduces an evaluation system for assessing the environmental restoration benefits of such wastelands, integrating the entropy weight and optimal assignment method for index quantification. Enhancements to decision-making elements and the incorporation of the fuzzy comprehensive evaluation method have culminated in developing a D-FCE model-based ecological restoration benefit assessment model. An empirical analysis on selected sites revealed notable increases in soil organic carbon content post-restoration—ranging from 1.73% to 2.98% in ERL areas, 1.69% to 2.45% in GL areas, and 1.25% to 2.08% in AL areas—demonstrating significant carbon sequestration. Additionally, a 38% rise in ecological benefits was observed, translating to an economic boon of 8563.2 yuan/year. This study furnishes a scientific method for evaluating industrial wasteland restoration and underpins the formulation of pertinent policies.


Keywords

DEA algorithm, Fuzzy comprehensive evaluation, D-FCE model, Industrial waste land, Ecological restoration, 11A05


Citation

Gao, Y. & Yang, Y. (2024). Research on the evaluation model of ecological restoration benefits of industrial waste land based on DEA algorithm. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-1048
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