Impact analysis of carbon prices on metal mining projects by block-based estimation model: Implications for cleaner production

Liu, Yang; Ren, Fangfang; Ding, Hangxing

doi:10.1016/j.jclepro.2019.05.052

Cited by 10 publications

(2 citation statements)

References 52 publications

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“…To predict the surface subsidence due to underground caving, numerous methods have been proposed, such as empirical models, analytical solutions [3,4], and numerical simulations [5][6][7]. Laubscher [8] proposed an empirical model to predict the angle of break based on the mining rock mass rating (MRMR), depth of the mined block, minimum and maximum span of the undercut, and density and height of the caved material (Figure 2).…”

Section: Introductionmentioning

confidence: 99%

Prediction of Surface Subsidence Extension due to Underground Caving: A Case Study of Hemushan Iron Mine in China

Ding

Chen

Chang

et al. 2020

Mathematical Problems in Engineering

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Underground caving can potentially lead to large-scale surface destruction. To test the safety conditions of the surface construction projects near the circular surface subsidence zone in the Hemushan Iron Mine, this paper proposes an analytical model to analyze the stability of the cylindrical caved space by employing the long-term strength of the surrounding rock mass, the in situ stress, and the impact of caved materials as inputs. The proposed model is valid for predicting the orientation and depth where rock failure occurs and for calculating the maximum depth of the undercut, above which the surrounding rock mass of the caved space can remain stable for a long duration of time. The prediction for the Hemushan Iron Mine from the proposed model reveals that the construction projects can maintain safe working conditions, and such prediction is also demonstrated by the records from Google Earth satellite images. This means that the proposed model is valid for conducting such analysis. Additionally, to prevent rock failure above the free surface of caved materials, backfilling the subsidence zone with waste rocks is suggested, and such a measure is implemented in the Hemushan Iron Mine. The monitoring results show that this measure contributes to protecting the surrounding wall of the caved space from large-scale slip failure. The contribution of this work not only provides a robust analytical model for predicting the stability of rock around a cylindrical caved space but also introduces employable measures for mitigating the subsequent extension of surface subsidence after vertical caving.

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Section: Introductionmentioning

confidence: 99%

Prediction of Surface Subsidence Extension due to Underground Caving: A Case Study of Hemushan Iron Mine in China

Ding

Chen

Chang

et al. 2020

Mathematical Problems in Engineering

Self Cite

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“…Higher energy and metal prices will lower the demand for carbon dioxide emissions, leading to lower carbon prices 26,27 . Rising carbon prices will partly encourage companies to reduce energy consumption 28 and the proportion of metal mining such as raw ore 29 , which affects the profitability of related companies such as metal energy 30 . Hence, climate change risk will not only have an impact on the carbon, energy and metal markets, respectively, but it is also expected to have an important effect on the connectivity of the whole system formed by different markets.…”

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confidence: 99%

The asymmetric effects of climate risk on higher-moment connectedness among carbon, energy and metals markets

Zhou,

Wu,

Liu

et al. 2023

Nat Commun

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Climate change affects price fluctuations in the carbon, energy and metals markets through physical and transition risks. Climate physical risk is mainly caused by extreme weather, natural disasters and other events caused by climate change, whereas climate transition risk mainly results from the gradual switchover to a low-carbon economy. Given that the connectedness between financial markets may be affected by various factors such as extreme events and economic transformation, understanding the different roles of climate physical risk and transition risk on the higher-moment connectedness across markets has important implications for investors to construct portfolios and regulators to establish regulation system. Here, using the GJRSK model, time-frequency connectedness framework and quantile-on-quantile method, we show asymmetric effects of climate risk on connectedness among carbon, energy and metals markets, with higher impacts of climate physical risk on upward risk spillovers, and greater effects of climate transition risk on the downside risk of kurtosis connectedness.

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Assessment of energy conservation potential and cost in open-pit metal mines: Bottom-up approach integrated energy conservation supply curve and ultimate pit limit

Liu

Zhang

et al. 2022

Energy Policy

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Impact analysis of carbon prices on metal mining projects by block-based estimation model: Implications for cleaner production

Cited by 10 publications

References 52 publications

Prediction of Surface Subsidence Extension due to Underground Caving: A Case Study of Hemushan Iron Mine in China

Prediction of Surface Subsidence Extension due to Underground Caving: A Case Study of Hemushan Iron Mine in China

The asymmetric effects of climate risk on higher-moment connectedness among carbon, energy and metals markets

Assessment of energy conservation potential and cost in open-pit metal mines: Bottom-up approach integrated energy conservation supply curve and ultimate pit limit

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