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Assessment of mine post-closure strategies by integrating evidential reasoning and fuzzy cognitive maps: Toward sustainable mining policy

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  • Samadi, Mahdi
  • Bakhtavar, Ezzeddin
  • Hu, Guangji
  • Hewage, Kasun
  • Sadiq, Rehan

Abstract

This study proposes a novel framework based on evidential reasoning and fuzzy cognitive map to evaluate post-closure strategies for open-pit mine reclamation, with a focus on sustainable mining. The framework enables a reasonable assessment of multiple strategies and criteria within a complex dynamic decision analysis system under uncertainty. This study introduces two novel aspects: linking the weight outputs of fuzzy cognitive maps to the evidential reasoning process and considering a broad range of criteria and reclamation strategies toward sustainable mining. This study considers various strategies, focusing on tailings, waste rocks, and demolition materials as filling materials to reclaim pits and reduce mine waste footprints. In evidential reasoning, causal weights were determined by a fuzzy cognitive map, which revealed that social criteria with a causal weight >0.96 were found the highest impact on cause-and-effect. The framework was applied to a large-scale mine with high discontinuities and acidity potentials, a local ecosystem with a high piezometric level, and low rainfall. A post-closure strategy using tailings as the main filling material was found most suitable, as it eliminates material transport and supply costs and reduces the adverse environmental effects and social complaints.

Suggested Citation

  • Samadi, Mahdi & Bakhtavar, Ezzeddin & Hu, Guangji & Hewage, Kasun & Sadiq, Rehan, 2023. "Assessment of mine post-closure strategies by integrating evidential reasoning and fuzzy cognitive maps: Toward sustainable mining policy," Resources Policy, Elsevier, vol. 83(C).
    • Handle: RePEc:eee:jrpoli:v:83:y:2023:i:c:s0301420723004300
    DOI: 10.1016/j.resourpol.2023.103719
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    References listed on IDEAS

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    1. Ganji, Seyedreza Seyedalizadeh & Rassafi, Amir Abbas & Bandari, Samaneh Jamshidi, 2020. "Application of evidential reasoning approach and OWA operator weights in road safety evaluation considering the best and worst practice frontiers," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    2. Yousefi, Samuel & Mohamadpour Tosarkani, Babak, 2022. "An analytical approach for evaluating the impact of blockchain technology on sustainable supply chain performance," International Journal of Production Economics, Elsevier, vol. 246(C).
    3. Badakhshan, Naser & Shahriar, Kourosh & Afraei, Sajjad & Bakhtavar, Ezzeddin, 2023. "Determining the environmental costs of mining projects: A comprehensive quantitative assessment," Resources Policy, Elsevier, vol. 82(C).
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    1. Bakhtavar, Ezzeddin & Saberi, Sahra & Hu, Guangji & Sadiq, Rehan & Hewage, Kasun, 2023. "Fuzzy cognitive-based goal programming for waste rock management with in-pit dumping priority: Towards sustainable mining," Resources Policy, Elsevier, vol. 86(PB).
    2. Gholami, Alireza & Tokac, Batur & Zhang, Qian, 2024. "Knowledge synthesis on the mine life cycle and the mining value chain to address climate change," Resources Policy, Elsevier, vol. 95(C).
    3. Esmailzadeh, Saghar & Bakhtavar, Ezzeddin & Mokhtarian-Asl, Mojtaba & Sadiq, Rehan & Hewage, Kasun, 2023. "Mathematical modelling of waste rock management through incorporating open-pit waste rocks in underground stope filling: An environmental approach," Resources Policy, Elsevier, vol. 85(PB).
    4. Jonek-Kowalska, Izabela, 2024. "Demonstrating the need for a just transition: Socioeconomic diagnosis of polish cities living on hard coal mining," Resources Policy, Elsevier, vol. 89(C).
    5. Berberoglu, Yalcin & Mangla, Sachin Kumar & Kazancoglu, Yigit, 2024. "Towards sustainable mining in an emerging economy: Assessment of sustainability challenges," Resources Policy, Elsevier, vol. 97(C).
    6. Badakhshan, Naser & Shahriar, Kourosh & Afraei, Sajjad & Bakhtavar, Ezzeddin, 2024. "Optimization of transition from open-pit to underground mining considering environmental costs," Resources Policy, Elsevier, vol. 95(C).

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