The ambient seismic field is now routinely used for imaging and monitoring purposes. Most commonly, applications aim at resolving crustal‐scale features and utilize ocean‐generated surface waves. At smaller scales and at frequencies above the microseismic peaks, local sources of seismic energy, often anthropogenic, are dominant, and understanding of their contributions to the ambient seismic field becomes important to apply ambient noise techniques. This study uses data of an industrial‐scale seismic deployment covering ∼500 km2 with 10,532 stations, each equipped with several collocated 10 Hz geophones, to provide unique insight into anthropogenic sources of seismic energy in a suburban‐to‐rural area. We compute amplitude levels, their distance dependency, power spectral densities, and spectrograms to describe the source characteristics. The sources we observe in great detail include windmills, a railway track and trains, cars, oil pumpjacks, power lines, gas pipelines, and airplanes. These sources exhibit time‐dependent behavior that is illustrated strikingly by videos of amplitude levels in certain frequency bands that we provide as supplemental material. The data described in this study are a potential resource for future studies, such as automatic signal classification, as well as underground imaging using microseismic noise or the sources presented here.

中文翻译：

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维也纳盆地大N地震台阵上的环境地震场特征

现在，通常将环境地震场用于成像和监视目的。最常见的应用是解决地壳尺度特征并利用海洋产生的表面波。在较小的规模和高于微地震峰的频率处，通常是人为的局部地震能量源占主导地位，因此了解其对环境地震场的贡献对于应用环境噪声技术至关重要。这项研究使用的工业规模地震数据覆盖了约500 km2的10,532个站点，每个站点都配备了几台并置的10 Hz地震检波器，以提供对城郊地区人为地震能量来源的独特见解。我们计算幅度水平，其距离依赖性，功率谱密度和频谱图以描述源特性。我们非常详细地观察到的资源包括风车，铁路轨道和火车，汽车，石油抽油机，电力线，天然气管道和飞机。这些信号源表现出随时间变化的行为，我们作为补充材料在某些频带上的振幅水平视频显着地说明了这一点。本研究中描述的数据是未来研究的潜在资源，例如自动信号分类以及使用微震噪声或此处介绍的源进行地下成像。