<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

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

Xi’an University of Science and Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The escalating spread of industrial wastelands has spotlighted the need for effective ecological restoration. This paper introduces an evaluation system for...

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

Publié en ligne: 03 mai 2024

Pages: -

Reçu: 11 avr. 2024

Accepté: 23 avr. 2024

DOI: https://doi.org/10.2478/amns-2024-1048

Mots clés
DEA algorithm, Fuzzy comprehensive evaluation, D-FCE model, Industrial waste land, Ecological restoration

© 2024 Yongle Gao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Publié en ligne: 03 mai 2024

Pages: -

Reçu: 11 avr. 2024

Accepté: 23 avr. 2024

DOI: https://doi.org/10.2478/amns-2024-1048

Mots clésDEA algorithm, Fuzzy comprehensive evaluation, D-FCE model, Industrial waste land, Ecological restoration

© 2024 Yongle Gao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
DEA algorithm, Fuzzy comprehensive evaluation, D-FCE model, Industrial waste land, Ecological restoration