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首页> 外文期刊>Journal of Glaciology >Estimation of glacier thicknesses and basal properties using the horizontal-to-vertical component spectral ratio (HVSR) technique from passive seismic data
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Estimation of glacier thicknesses and basal properties using the horizontal-to-vertical component spectral ratio (HVSR) technique from passive seismic data

机译：估计来自无源地震数据的水平与垂直分量谱比（HVSR）技术的冰川厚度和基底特性

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摘要

Microtremor measurements and the horizontal-to-vertical spectral ratio (HVSR) technique, generally used for site effect studies as well as to determine the thickness of soft sedimentary layers, can effectively be applied to map the thickness of glaciers. In this work the radio-echo sounding, geoelectric and active seismic methods, widely employed to image the earth interior, are applied to verify the reliability of the HVSR technique in Alpine and Antarctic glacial environments. The technique has been used to analyze passive seismic data from glaciers of the Adamello and Ortles-Cevedale massifs (Italy), the Bernese Oberland Alps (Switzerland) and from the Whillans Ice Stream (West Antarctica). Comparing with the results obtained from the different geophysical imaging methods, we show that the resonance frequency in the HVSR spectra correlates well with the ice thickness at the site, in a wide range from a few tens of meters to more than 800 m. The reliability of the method mainly depends on the coupling of sensors at the glacier surface and on the basal impedance contrast. This passive seismic technique offers a logistically efficient and cost effective method to map glacier and ice-sheet thicknesses. Moreover, under certain conditions, it allows reliable estimations of the basal seismic properties.
机译：微震测量和水平-垂直谱比（HVSR）技术通常用于场地效应研究以及确定软沉积层的厚度，可以有效地应用于绘制冰川厚度图。在这项工作中，广泛用于地球内部成像的无线电回波探测、地电和主动地震方法被用于验证HVSR技术在高山和南极冰川环境中的可靠性。该技术已被用于分析来自阿达梅洛和奥尔特尔-塞维代尔地块（意大利）、伯尔尼奥伯兰阿尔卑斯山脉（瑞士）和惠兰冰流（南极洲西部）冰川的被动地震数据。通过与不同地球物理成像方法所得结果的比较，我们发现，HVSR光谱中的共振频率与现场的冰厚度有很好的相关性，范围从几十米到800米以上。该方法的可靠性主要取决于冰川表面传感器的耦合和基础阻抗对比度。这种被动地震技术为绘制冰川和冰盖厚度提供了一种逻辑上高效且经济的方法。此外，在某些条件下，它允许可靠地估计基本地震属性。

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