A New Comprehensive Model for Integrating Environmental, Economic, and Social Performance of Deep and Large-scale Open-Pit Copper Mines
محل انتشار: ماهنامه بین المللی مهندسی، دوره: 37، شماره: 1
سال انتشار: 1403
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 142
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شناسه ملی سند علمی:
JR_IJE-37-1_001
تاریخ نمایه سازی: 3 آبان 1402
چکیده مقاله:
Deep and large-scale (D&LS) open-pit mines pose various environmental, social, and economic impacts on the mining projects’ stakeholders and local, regional, national, and international communities. Identifying these impacts and having a comprehensive model to assess these impacts altogether is critical to achieving sustainable development (SD) goals. This study develops a robust sustainability assessment model for D&LS open-pit mining projects. The model comprehensively considers ۹۹ impact factors across environmental, social, and economic dimensions. The sustainability score is calculated using the Z-FDAHP technique to reduce the bias and uncertainty of experts' judgments. Then, the scenario-based technique is used to apply the stakeholders' perspective to the model. The model is applied to Sungun Copper Mine (SCM) in northwest Iran for verification. Results show SCM's sustainability performance is highly sensitive to index weightings. The highest score was achieved with sole social prioritization (scenario ۸ with a sustainability score of ۶.۳۶۴ out of ۱۰), highlighting the critical role of community impacts. Environmental or economic focus alone (scenarios ۲ and ۵) was not very sustainable, with scores of ۳.۳۲۶ and ۵.۲۹۸ respectively. Scores of ۵.۵۴۳, ۵.۳۳۰, and ۵.۱۱۷ for sustainability can be achieved by optimizing all three SD aspects with a long-term, stakeholder-centered approach (scenarios ۹, ۴, and ۶). The proposed sustainability assessment model exhibits robustness through its comprehensive set of ۹۹ environmental, social, and economic indicators; its ability to customize indicator weights under different stakeholder-perspective scenarios; and validation of the quantitative scoring approach through an empirical case study, while continuous improvement would further reinforce its robustness over time.
کلیدواژه ها:
نویسندگان
M. Heydari
Amirkabir University of Technology, Mining Engineering Department, Tehran, Iran
M. Osanloo
Amirkabir University of Technology, Mining Engineering Department, Tehran, Iran
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