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Stability-Level Evaluation of the Construction Site above the Goaf Based on Combination Weighting and Cloud Model

Author

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  • Liang Wang

    (School of Spatial Informatics and Geomatics Engineering, Anhui University of Sciences and Technology, Huainan 232001, China
    State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China
    Key Laboratory of Aviation-Aerospace-Ground Cooperative Monitoring and Early Warning of Coal Mining-Induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, KLAHEI (KLAHEI18015), Huainan 232001, China
    Coal Industry Engineering Research Center of Mining Area Environmental and Disaster Cooperative Monitoring, Anhui University of Science and Technology, Huainan 232001, China)

  • Qingbiao Guo

    (School of Spatial Informatics and Geomatics Engineering, Anhui University of Sciences and Technology, Huainan 232001, China
    State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China
    State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, Beijing 100000, China)

  • Xuexiang Yu

    (School of Spatial Informatics and Geomatics Engineering, Anhui University of Sciences and Technology, Huainan 232001, China)

Abstract

Mineral resource-based cities have formed a large number of goafs due to the long-term mining of coal. It is of great significance to make full use of the abandoned land resources above the goaf to promote the transformation and development of resource-based cities. In order to avoid the threat of surface residual deformation to the proposed construction project, it is an urgent problem to obtain the stability results of the construction site accurately. First of all, based on the principles of relevance, hierarchy, representativeness and feasibility of index selection, 10 indexes are selected to construct the stability evaluation index system. Then the subjective weight and objective weight of evaluation indexes are determined based on improved AHP, rough set and CRITIC methods, which improves the accuracy of the determination of the index weights. In addition, the membership degree of each index is determined using the cloud model. Finally, the stability grade can be obtained according to the maximum membership degree theory. The above researches are applied to evaluate the stability of the Mianluan expressway construction site, and the results show that the stability level of the study area is not uniform and that there are two states: stable and basically stable. Finally, a sensitivity analysis of the subjective weight of each index is carried out, the index stopping time has the highest sensitivity to weight (12.44%), which is far lower than the corresponding weight change rate of 100%, indicating that the determination of weight is scientific and reasonable. These things considered, the reliability of the evaluation result is indirectly verified according to the field leveling. This research can provide a reference for the effective utilization of land resources above an old goaf.

Suggested Citation

  • Liang Wang & Qingbiao Guo & Xuexiang Yu, 2023. "Stability-Level Evaluation of the Construction Site above the Goaf Based on Combination Weighting and Cloud Model," Sustainability, MDPI, vol. 15(9), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7222-:d:1133482
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    References listed on IDEAS

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    1. Zaicheng Xu & Wei Xu & Peng Zhou & Zhenhua Zhu & Junyi Zhao & Peng Gao, 2023. "Research on Coal Mine Goaf Restoration Based on Stability of Overlying Rocks and Numerical Simulation Analysis: A Case Study of Jingmen Garden Expo Park," Sustainability, MDPI, vol. 15(2), pages 1-26, January.
    2. Erhu Bai & Wenbing Guo & Yi Tan & Mingjie Guo & Peng Wen & Zhiqiang Liu & Zhibao Ma & Weiqiang Yang, 2022. "Regional Division and Its Criteria of Mining Fractures Based on Overburden Critical Failure," Sustainability, MDPI, vol. 14(9), pages 1-15, April.
    3. Kazançoglu, Yigit & Ada, Erhan & Ozturkoglu, Yucel & Ozbiltekin, Melisa, 2020. "Analysis of the barriers to urban mining for resource melioration in emerging economies," Resources Policy, Elsevier, vol. 68(C).
    4. Qingbiao Guo & Guangli Guo & Yingming Li & Lei Wang & Xingwang Zhao, 2019. "Stability Evaluation of an Expressway Construction Site above an Abandoned Coal Mine Based on the Overlay and Index Method," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    5. Dianfa Wu & Zhiping Yang & Ningling Wang & Chengzhou Li & Yongping Yang, 2018. "An Integrated Multi-Criteria Decision Making Model and AHP Weighting Uncertainty Analysis for Sustainability Assessment of Coal-Fired Power Units," Sustainability, MDPI, vol. 10(6), pages 1-27, May.
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    2. Mengqi Guo & Mingyi Xie & Guangcai Xu, 2023. "Sustainable Livelihood Evaluation and Influencing Factors of Rural Households: A Case Study of Beijing Ecological Conservation Areas," Sustainability, MDPI, vol. 15(13), pages 1-19, July.

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