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首页> 外文期刊>Bulletin of engineering geology and the environment >Monitoring and statistical analysis of mine subsidence at three metal mines in China
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Monitoring and statistical analysis of mine subsidence at three metal mines in China

机译:中国三座金属矿山矿山沉陷监测统计分析

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摘要

Mine subsidence is a regional geological hazard in China. To evaluate whether a power law describes the frequency-size statistics of mine subsidence, as for earthquakes and floods, we studied the frequency-size statistics of mine subsidence at three metal mines in China (Jinchuan Nickel Mine, Sanshandao Gold Mine, and Jingerquan Nickel Mine). Data sets for these mines consisted of 1088, 345, and 101 Global Positioning System (GPS) monitoring points, covering monitoring periods of 14.5, 4, and 3.5 years, respectively. Although these mines had different geological and hydrological settings, mining methods, and stress fields, their noncumulative frequency-size distributions for subsidence and uplift events can be described using power laws. The subsidence power-law exponent for these three mines ranged from 1.20 to 1.67, 1.49 to 1.94, and 1.01 to 1.17, with mean values of 1.46, 1.76, and 1.09, respectively. The power-law scaling for each mine was valid over the range from 2 to 455 mm, 2 to 566 mm, and 2 to 277 mm, respectively; scaling was positively correlated with the power-law exponent. The frequency-size statistics for subsidence events having different time scales showed an identical power-law dependence. The power-law behavior of uplift events was similar to subsidence events. This power-law behavior, its underlying mechanisms, factors influencing the power-law exponent, and the threshold between normal and extreme subsidence events are discussed herein. We conclude that the power-law distribution of mine subsidence events reflects the scale invariance of the subsidence system. This has important practical applications for subsidence hazard assessment and subsidence event prediction.
机译:矿山塌陷是中国的区域性地质灾害。为了评估幂律是否描述了地震和洪水等矿山沉降的频率大小统计,我们研究了中国三个金矿(金川镍矿,三山岛金矿和井二泉镍矿)的矿山频率统计数据。矿)。这些地雷的数据集包括1088、345和101个全球定位系统(GPS)监视点,分别涵盖了14.5年,4年和3.5年的监视期。尽管这些矿山具有不同的地质和水文环境,采矿方法和应力场,但可以使用幂定律描述它们在沉降和隆升事件中的非累积频率大小分布。这三个地雷的沉陷幂律指数范围为1.20至1.67、1.49至1.94和1.01至1.17,平均值分别为1.46、1.76和1.09。每个地雷的幂律定标分别在2到455毫米,2到566毫米和2到277毫米的范围内有效;标度与幂律指数呈正相关。具有不同时间尺度的沉陷事件的频率大小统计数据显示出相同的幂律依赖性。隆升事件的幂律行为类似于沉陷事件。本文讨论了该幂律行为,其基本机制,影响幂律指数的因素以及正常和极端沉降事件之间的阈值。我们得出结论,矿山沉降事件的幂律分布反映了沉降系统的尺度不变性。这对于沉陷危害评估和沉陷事件预测具有重要的实际应用。

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  • 作者单位

    Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China|Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China|Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China;

    Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China|Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China;

    Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China|Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Mine subsidence; Power law; Scale invariance; Geological hazard; Event prediction;

    机译:矿井沉降;权力法;规模不变性;地质危害;事件预测;

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