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AHP-EWM Based Model Selection System for Subsidence Area Research

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  • Ming Liang

    (School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China
    Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei 230601, China)

  • Gen Yang

    (School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China)

  • Xiaojun Zhu

    (School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China
    Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei 230601, China)

  • Hua Cheng

    (School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China
    Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei 230601, China)

  • Liugen Zheng

    (School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China
    Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei 230601, China)

  • Hui Liu

    (School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China
    Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei 230601, China)

  • Xianglin Dong

    (Huaibei Mining (Group) Co., Ltd., Huaibei 235000, China)

  • Yanhai Zhang

    (Huaibei Mining (Group) Co., Ltd., Huaibei 235000, China)

Abstract

Coal mining can create a variety of environmental, ecological, and land-use problems. Subsidence areas resulting from coal mining are a common and particularly difficult problem to manage. Despite much discussion in the academic literature as well as among local and international stakeholders, there is neither a uniform standard nor a universally accepted approach for selecting an appropriate governance model for a subsidence area. In particular, the lack of quantitative evaluation methods and excessive subjectivity represent key obstacles to the effective selection of governance models for subsidence areas. This paper proposes a selection framework for a coal mining subsidence governance model that integrates the analytic hierarchy process (AHP) and entropy weight method (EWM). The model comprehensively considers the settlement characteristics of the subsidence area, its geographic location, the water index, as well as the vegetation index. These variables are used as indicators to develop an evaluation framework upon which different subsidence zones can be quantitatively analyzed. The selection framework is demonstrated using examples from three subsidence areas in the Huainan and Huaibei mining areas in China, for which relevant data were collected and processed with the help of field surveys, remote sensing images, and subsidence prediction software. Applying the novel selection framework, the most suitable governance model for each subsidence area was obtained and determined to be consistent with the recommendations of an academic panel composed of multiple experts. The novel selection framework has high efficacy and potential to overcome the problem of subjectivity in the selection of governance models for coal mining subsidence areas. It is also envisaged that future incorporation of the selection framework into a user-friendly software package will significantly improve the efficiency with which suitable governance models for coal mining subsidence areas are selected.

Suggested Citation

  • Ming Liang & Gen Yang & Xiaojun Zhu & Hua Cheng & Liugen Zheng & Hui Liu & Xianglin Dong & Yanhai Zhang, 2023. "AHP-EWM Based Model Selection System for Subsidence Area Research," Sustainability, MDPI, vol. 15(9), pages 1-24, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7135-:d:1131792
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    References listed on IDEAS

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    1. Suyeon Kim & Sang-Woo Lee & Se-Rin Park & Yeeun Shin & Kyungjin An, 2021. "Socioeconomic Risks and Their Impacts on Ecological River Health in South Korea: An Application of the Analytic Hierarchy Process," Sustainability, MDPI, vol. 13(11), pages 1-15, June.
    2. Nolberto Munier & Eloy Hontoria, 2021. "Uses and Limitations of the AHP Method," Management for Professionals, Springer, number 978-3-030-60392-2, March.
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    Cited by:

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    2. Zhao, Hui & Hao, Xiang, 2024. "Location decision of electric vehicle charging station based on a novel grey correlation comprehensive evaluation multi-criteria decision method," Energy, Elsevier, vol. 299(C).
    3. Johnson Opoku-Asante & Emmanuel Bobobee & Joseph O Akowuah & Eric Amoah Asante, 2024. "Evaluation of integrated threshing and drying design concepts for paddy rice using analytical hierarchy process," International Journal of Agricultural Research, Innovation and Technology (IJARIT), IJARIT Research Foundation, vol. 14(1), June.
    4. Yanqing Wang & Hong Chen & Robert L. K. Tiong, 2023. "An exploratory research on the maturity level of public's emergency capability," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 119(1), pages 325-355, October.

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