A Comprehensive Evaluation of Resilience in Abandoned Open-Pit Mine Slopes Based on a Two-Dimensional Cloud Model with Combination Weighting

Liangxing Jin, Pingting Liu (), Wenbing Yao and Junjie Wei
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Liangxing Jin: School of Civil Engineering, Central South University Railway Campus, Central South University, No. 22, Shaoshan South Rd., Changsha 410075, China
Pingting Liu: School of Civil Engineering, Central South University Railway Campus, Central South University, No. 22, Shaoshan South Rd., Changsha 410075, China
Wenbing Yao: School of Civil Engineering, Central South University Railway Campus, Central South University, No. 22, Shaoshan South Rd., Changsha 410075, China
Junjie Wei: School of Civil Engineering, Central South University Railway Campus, Central South University, No. 22, Shaoshan South Rd., Changsha 410075, China

Mathematics, 2024, vol. 12, issue 8, 1-26

Abstract: The stability of abandoned open-pit mine slopes and their ecological environment are threatened owing to their fragile, complicated, and uncertain characteristics. This study establishes a novel evaluation indicator system for enhancing mine design and environmental protection insight. The weights in the system are assigned using a combined method, which consists of the game theory, the interval analytic hierarchy process (IAHP), and the entropy weight method (EWM). The IAHP is optimized by the improved radial movement optimal (IRMO) algorithm and the simulated annealing (SA) algorithm to ensure calculation stability and efficiency. Meanwhile, a two-dimensional cloud model (TDCM) is developed to obtain the slope resilience level and visualize the result. This comprehensive evaluation method is applied to three abandoned mine slopes in the Yellow River Basin, and the results demonstrate that the method can provide crucial insights for rational mine slope stabilization and ecological restoration.

Keywords: resilience evaluation; combined weight method; IRMO-SA method; TDCM; IAHP; EWM; abandoned open-pit mine slopes (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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