Seismic monitoring in the Gugla rock glacier (Switzerland): ambient noise correlation, microseismicity and modelling

被引:18
作者
Guillemot, Antoine [1 ]
Helmstetter, Agnes [1 ]
Larose, Eric [1 ]
Baillet, Laurent [1 ]
Garambois, Stephane [1 ]
Mayoraz, Raphael [2 ]
Delaloye, Reynald [3 ]
机构
[1] Univ Grenoble Alpes, Univ Savoie Mt Blanc, CNRS, IRD,IFSTTAR,ISTerre, F-38000 Grenoble, France
[2] Geol Dept, CH-1951 Sion, Switzerland
[3] Univ Fribourg, Dept Geosci Geograph, CH-1700 Fribourg, Switzerland
关键词
Coda waves; Seismic interferometry; Seismic noise; Glaciology; SEDIMENT TRANSFER; VELOCITY CHANGES; LANDSLIDE; FRICTION; CREEP; FRONT;
D O I
10.1093/gji/ggaa097
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
A network of seismometers has been installed on the Gugla rock glacier since October 2015 to estimate seismic velocity changes and detect microseismicity. These two processes are related to mechanical and structural variations occurring within the rock glacier. Seismic monitoring thus allows a better understanding of the dynamics of rock glaciers throughout the year. We observed seasonal variations in seismic wave velocity and microseismic activity over the 3 yr of the study. In the first part of our analysis, we used ambient noise correlations to compute daily changes of surface wave velocity. In winter, seismic wave velocities were higher, probably due to refreezing of the permafrost active layer and cooling of the uppermost permafrost layers, leading to increased overall rigidity of the medium. This assumption was verified using a seismic model of wave propagation that estimates the depth of P - and S-wave velocity changes from 0 down to 10 m. During melting periods, both a sudden velocity decrease and a decorrelation of the seismic responses were observed. These effects can probably be explained by the increased water content of the active layer. In the second part of our study, we focused on detecting microseismic signals generated in and around the rock glacier. This seismic activity (microquakes and rockfalls) also exhibits seasonal variations, with a maximum in spring and summer, which correlates principally with an exacerbated post-winter erosional phase of the front and a faster rock glacier displacement rate. In addition, we observed short bursts of microseismicity, both during snowfall and during rapid melting periods, probably due to pore pressure increase.
引用
收藏
页码:1719 / 1735
页数:17
相关论文
共 43 条
  • [41] Detection of pre-eruptive seismic velocity variations at an andesitic volcano using ambient noise correlation on 3-component stations: Ubinas volcano, Peru, 2014
    Machacca-Puma, Roger
    Lesage, Philippe
    Larose, Eric
    Lacroix, Pascal
    Anccasi-Figueroa, Rosa M.
    JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH, 2019, 381 : 83 - 100
  • [42] Temporal change in seismic velocity associated with an offshore MW 5.9 Off-Mie earthquake in the Nankai subduction zone from ambient noise cross-correlation
    Ikeda, Tatsunori
    Tsuji, Takeshi
    PROGRESS IN EARTH AND PLANETARY SCIENCE, 2018, 5
  • [43] 3-D shear wave velocity model ofMexico and South US: bridging seismic networks with ambient noise cross-correlations (C1) and correlation of coda of correlations (C3)
    Spica, Zack
    Perton, Mathieu
    Calo, Marco
    Legrand, Denis
    Cordoba-Montiel, Francisco
    Iglesias, Arturo
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2016, 206 (03) : 1795 - 1813