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在可控源地震实验中识别自然信号和人为信号。

Identification of natural and anthropogenic signals in controlled source seismic experiments.

作者信息

Díaz J, DeFelipe I, Ruiz M, Andrés J, Ayarza P, Carbonell R

机构信息

Geosciences Barcelona, Geo3Bcn CSIC, c/ Solé Sabarís s/n, 08028, Barcelona, Spain.

Department of Geology, Universidad de Salamanca, Plaza de la Merced, s/n, 37008, Salamanca, Spain.

出版信息

Sci Rep. 2022 Feb 24;12(1):3171. doi: 10.1038/s41598-022-07028-3.

DOI:10.1038/s41598-022-07028-3
PMID:35210484
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8873501/
Abstract

The analysis of the background noise in seismic networks has proved to be a powerful tool not only to acquire new insights on the crustal structure, but also to monitor different natural and anthropogenic processes. We show that data acquired during controlled source experiments can also be a valuable tool to monitor such processes, in particular when using high-density deployments. Data from a wide-angle reflection and refraction seismic profile in the central-northwest part of Iberia is used to identify signals related to aircrafts, road traffic, quarry blasts, wind blow, rainfall or thunders. The most prominent observations are those generated by a helicopter and an airplane flying following trajectories subparallel to the profile, which are tracked along 200 km with a spatial resolution of 350 m, hence providing an exceptional dataset. Other highlights are the observation of the Doppler effect on signals generated by moving cars and the high-density recording of acoustic waves generated by thunders. In addition to the intrinsic interest of identifying such signals, this contribution proves that it is worth inspecting the data acquired during seismic experiments beyond the time interval including the arrival of the seismic waves generated by the controlled source.

摘要

事实证明,对地震台网背景噪声的分析不仅是获取地壳结构新见解的有力工具,也是监测不同自然和人为过程的有力工具。我们表明,在可控源实验期间采集的数据也可以成为监测此类过程的宝贵工具,特别是在使用高密度部署时。来自伊比利亚中西北部广角反射和折射地震剖面的数据用于识别与飞机、道路交通、采石场爆破、风吹、降雨或雷电相关的信号。最显著的观测结果是由一架直升机和一架沿与剖面近平行轨迹飞行的飞机产生的,它们沿着200公里被追踪,空间分辨率为350米,从而提供了一个特殊的数据集。其他亮点包括对行驶汽车产生的信号的多普勒效应的观测以及对雷电产生的声波的高密度记录。除了识别此类信号本身的趣味性之外,这一贡献证明,除了包括可控源产生的地震波到达时间间隔之外,检查地震实验期间采集的数据也是值得的。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2370/8873501/5ea16569018b/41598_2022_7028_Fig10_HTML.jpg

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Urban Seismology: on the origin of earth vibrations within a city.城市地震学:关于城市内部地面振动的起源
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The FAIR Guiding Principles for scientific data management and stewardship.科学数据管理和保存的 FAIR 指导原则。
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