当前位置: X-MOL 学术Eng. Geol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A new autoregressive moving average modeling of H/V spectral ratios to estimate the ground resonance frequency
Engineering Geology ( IF 7.4 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.enggeo.2020.105957
Arantza Ugalde , Juan José Egozcue , César R. Ranero

Abstract We propose a new method to estimate the horizontal-to-vertical (H/V) spectral ratio using microtremor measurements. The technique is based on modeling the H/V transfer function by means of an AutoRegressive Moving Average (ARMA) filter. As compared with the conventional, Fourier-based spectra processing routines, this method is efficient in extracting the fundamental resonant frequency with a higher spectral resolution. We demonstrate its usefulness by an application to several sites in northeastern Iberian Peninsula. For the data sets examined, our approach shows improvement over the Fourier transform-based method under adverse experimental conditions. We conclude that the new technique provides robust estimates of the fundamental resonance frequency and can be effective to characterize empirically the unconsolidated sediment thickness and bedrock geometry.

中文翻译:

一种新的 H/V 谱比自回归移动平均模型来估计地面共振频率

摘要 我们提出了一种使用微震测量来估计水平与垂直 (H/V) 频谱比的新方法。该技术基于通过自回归移动平均 (ARMA) 滤波器对 H/V 传递函数进行建模。与传统的基于傅立叶的光谱处理程序相比,该方法在提取具有更高光谱分辨率的基本谐振频率方面是有效的。我们通过应用到伊比利亚半岛东北部的几个站点来证明它的实用性。对于检查的数据集,我们的方法在不利的实验条件下比基于傅立叶变换的方法有所改进。
更新日期:2021-01-01
down
wechat
bug