Analysis of Rock Mass Stability Based on Mining-Induced Seismicity: A Case Study at the Hongtoushan Copper Mine in China

Liu, Jianpo; Xu, Shugen; Li, Yuanhui; Lei, Gang

doi:10.1007/s00603-018-1541-y

Cited by 33 publications

(12 citation statements)

References 31 publications

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“…Lasocki (1993) used a temporal exponential weighting metric which assigns larger weights to those events which took place close to the next day in time. To account for the spatial clustering, a space and time weighting metric was used which is a spatial distance weighted by the product of a time constant and the time difference between the occurrence of events (Kijko et al, 1993;Liu et al, 2018). Since it is rather difficult to accurately determine the weighting metric, all the microseismic events in the same time window were assigned the same weights in this work.…”

Section: Application Of the Forecasting Methodology At Coal Mine Velenjementioning

confidence: 99%

A physics-based probabilistic forecasting methodology for hazardous microseismicity associated with longwall coal mining

Cao

Durucan

Cai

et al. 2020

International Journal of Coal Geology

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Section: Application Of the Forecasting Methodology At Coal Mine Velenjementioning

confidence: 99%

A physics-based probabilistic forecasting methodology for hazardous microseismicity associated with longwall coal mining

Cao

Durucan

Cai

et al. 2020

International Journal of Coal Geology

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“…In this study, field blasting experiments were conducted based on the corrected specific charge. As shown in Figure 8, the test field was located in a mining area 1077 to 1137 m (−647 to −707 m) below the ground surface; the mining area was 28 m long, 17 m wide, and 60 m high [29]. Sublevel stoping was adopted as the mining method.…”

Section: Test Mine and Mining Area Fushun Hongtoushanmentioning

confidence: 99%

Design Method for Specific Charge in Deep Mining considering Influence of In Situ Stress

Zhang

Hao

Wang

et al. 2021

Advances in Civil Engineering

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In situ stress has a large influence on blasts in deep mines and should be considered in blasting design. In this study, explosion crater tests were conducted to investigate the variation of specific charges under different stress loading conditions. It was revealed that rock blasting under high stress is different from that under low stress. A correction coefficient for specific charge was defined to consider the influence of in situ stress on blasting. A quantitative relation between the correction coefficient, stress-to-strength ratio, and lateral stress coefficient was presented. Based on the explosion-crater test results, a design method for specific charges was proposed with the consideration of in situ stress. Finally, the design method was applied to a field blasting test at Hongtoushan Copper Mine. The test results indicate that the proposed design method can effectively use the high in situ stress at depth for rock fragmentation. Compared with the original blasting design, the specific charge is reduced by 19.8% and the average block rate is reduced from 6.8% to 2.84%. At the same time, the blasting boundary is well controlled and the ore loss and dilution rates are reduced. This research has important guiding significance to deep mine blasting design.

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“…It is well known that the sources of mining-induced earthquakes are shallow and the resulting surface wave is complex [7,8]. A mining-induced earthquake is a small-magnitude earthquake caused by the instability of rock masses due to mining activities and other excavation activities [9]. Compared with the general microseismic events, mining-induced earthquakes are of larger magnitude in underground mines and often cause problems that are difficult to solve.…”

Section: Introductionmentioning

confidence: 99%

Method for Identifying and Forecasting Mining-Induced Earthquakes Based on Spatiotemporal Characteristics of Microseismic Activities in Fankou Lead/Zinc Mine

Deng

Wen

et al. 2022

Minerals

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The risks associated with underground mining at Fankou Lead/Zinc Mine in South China are growing due to the large-scale mining activities there. To recognize mining-induced earthquakes and assess the risk per mining level, a microseismic monitoring system, which is used to record microseismic events, is installed at multiple mining levels in Fankou Lead/Zinc Mine. The purpose of this study is to identify mining-induced earthquakes and to evaluate the risk per mining level by analyzing the spatiotemporal characteristics of microseismic activities in the Fankou Lead/Zinc Mine. In this study, the Gutenberg-Richter (G-R) relationship is applied to compute the b-value, which is used to obtain the maximum magnitude (M (max)) of microseismic event that probably occurs at each mining level. Then, the evaluation of the recurrence period for M (max) and the probability of the microseismic event with the magnitude M (max) is carried out and the M (max) at each mining level is determined based on the recording period of microseismic events. The results show that factors such as the maximum rock vibration velocity, source parameters, displacement, microseismic waveform and energy ratio (ES/EP) can be used to distinguish whether a recorded microseismic event is mining-induced earthquake. Additionally, we propose a method to assess the possibility of mining-induced earthquake at each mining level based on M (max) and predict the recurrence time of microseismic event with the magnitude M (max). The of two years results of microseismic events monitoring demonstrate that the current study is promising for identifying mining-induced earthquakes, assessing the risk of mining-induced earthquakes, predicting the potential maximum microseismic event in a region and estimating its recurrence period and its probability in the Fankou Lead/Zinc Mine.

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Analysis of Rock Mass Stability Based on Mining-Induced Seismicity: A Case Study at the Hongtoushan Copper Mine in China

Cited by 33 publications

References 31 publications

A physics-based probabilistic forecasting methodology for hazardous microseismicity associated with longwall coal mining

A physics-based probabilistic forecasting methodology for hazardous microseismicity associated with longwall coal mining

Design Method for Specific Charge in Deep Mining considering Influence of In Situ Stress

Method for Identifying and Forecasting Mining-Induced Earthquakes Based on Spatiotemporal Characteristics of Microseismic Activities in Fankou Lead/Zinc Mine

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