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冰川地震学研究进展

左洪 裴顺平 何建坤 孙权 薛晓添 刘雁冰 李佳蔚 李磊

引用本文: 左洪,裴顺平,何建坤,孙权,薛晓添,刘雁冰,李佳蔚,李磊. 2021. 冰川地震学研究进展. 地球与行星物理论评,52(3):280-290
Zuo H, Pei S P, He J K, Sun Q, Xue X T, Liu Y B, Li J W, Li L. 2021. Research progress of the glacier seismology. Reviews of Geophysics and Planetary Physics, 52(3): 280-290

冰川地震学研究进展

doi: 10.16738/j.dqyxx.2021-002
基金项目: 国家自然科学基金资助项目(U2039203,41941016);中国科学院战略性先导科技专项资助项目(A类)(XDA20070302)
详细信息
    作者简介:

    左洪(1996-),女,硕士研究生,主要从事青藏高原冰川地震的研究. E-mail:zuohong@itpcas.ac.cn

    通讯作者:

    裴顺平(1974-),男,研究员,主要从事地球深部结构成像的研究. E-mail:peisp@itpcas.ac.cn

  • 中图分类号: P315

Research progress of the glacier seismology

Funds: Supported by the National Natural Science Foundation of China (Grant Nos. U2039203, 41941016) and the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDA20070302)
  • 摘要: 冰川地震学结合了冰川学和地震学的综合优势,形成一门年轻的交叉学科. 冰震是指冰川运动和破裂过程中产生的振动,包括从微小的嘎吱声到相当于7级地震的突发性破裂或滑动. 当前,根据冰震发生的位置以及发生机理的不同,将冰震大概分为五类:冰川表层破裂、冰川终端崩解、冰内水力压裂、冰腔水流震荡、冰层基底黏滑. 冰震研究除了可以采用传统地震学方法外,也可以结合GPS、数值模拟、冰川物性等多学科综合方法来研究,进一步可以探究冰崩的发生过程及危险性评估. 本文回顾了国内外冰川地震学的研究进展,介绍了我国研究人员在青藏高原地区开展的冰川地震研究工作,综合探讨了冰川地震对天然地震研究的启示.

     

  • 图  1  1950~2019年冰川地震学的论文数量增长情况(修改自Podolskiy and Walter, 2016

    Figure  1.  Cumulative number of papers on passive glacier seismology, 1950~2019 (modified from Podolskiy and Walter, 2016)

    图  2  典型冰震的位置和发生机理示意图(修改自Larose et al., 2015

    Figure  2.  Schematic diagram of the location and mechanism of typical icequakes (modified from Larose et al., 2015)

    图  3  (a)含P波的浅表冰裂隙冰震及瑞利波频谱;(b)深部冰震及更高频的P波频谱(修改自Roosli et al., 2014

    Figure  3.  (a) Surface crevasse icequake with P-arrival and dominant Rayleigh wave; (b) Deep icequake with dominant P-arrival, higher frequencies (modified from Roosli et al., 2014)

    图  4  格陵兰岛冰崩的波形特征。(a)冰震时间序列的水平南北分量(红色)和附近测量的海洋水位(青色),清楚显示了冰山崩解事件引发长达1小时的水位振荡;(b)冰崩事件的开始时的频谱(红色)和前期噪声谱(黑色)(修改自Walter et al., 2013

    Figure  4.  Seismic signature of a calving event at Kangerdlugssup Sermerssua (Greenland), recorded on the station NUUG of the Greenland Ice Sheet Monitoring Network. (a) Horizontal north-south component of seismic time series (red) and nearby measured ocean water level (cyan). Both time series clearly show the hour-long water level oscillation triggered by the iceberg calving event. (b) Spectrum of the calving event's onset (red) and prevent noise (black) (modified from Walter et al., 2013)

    图  5  冰腔水流震颤与水位有关(修改自Roeoesli et al., 2016

    Figure  5.  The tremor caused by subglacial water flow is related to rising water levels (modified from Roeoesli et al., 2016)

    图  6  冰层基底黏滑的相似波形(修改自Allstadt and Malone, 2014

    Figure  6.  The similar waveforms of stick-slip motion (modified from Allstadt and Malone, 2014)

    图  7  观测气温、气温梯度与高频冰震的时间分布(陈宇乔,2018

    Figure  7.  The temporal distribution of air temperature, air temperature gradient and number of detected short-period icequakes ( Chen, 2018)

    图  8  阿汝冰川的冰震观测台站分布(五角星为震中)

    Figure  8.  Distribution of icequake observation stations in Aru glacier (star is epicenter)

    图  9  主频为20 Hz的典型冰震波形(震中标注于图8

    Figure  9.  Typical icequake waveforms with a dominant frequency of 20 Hz (The epicenter is marked in Fig.8)

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出版历程
  • 收稿日期:  2021-01-16
  • 录用日期:  2021-03-03
  • 刊出日期:  2021-04-14

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