With the potential of high temporal and spatial sampling and the capability of utilizing existing fiber‐optic infrastructure, distributed acoustic sensing (DAS) is in the process of revolutionizing geophysical ground‐motion measurements, especially in remote and urban areas, where conventional seismic networks may be difficult to deploy. Yet, for DAS to become an established method, we must ensure that accurate amplitude and phase information can be obtained. Furthermore, as DAS is spreading into many different application domains, we need to understand the extent to which the instrument response depends on the local environmental properties. Based on recent DAS response research, we present a general workflow to empirically quantify the quality of DAS measurements based on the transfer function between true ground motion and observed DAS waveforms. With a variety of DAS data and reference measurements, we adapt existing instrument‐response workflows typically in the frequency band from 0.01 to 10 Hz to different experiments, with signal frequencies ranging from 1/3000 to 60 Hz. These experiments include earthquake recordings in an underground rock laboratory, hydraulic injection experiments in granite, active seismics in agricultural soil, and icequake recordings in snow on a glacier. The results show that the average standard deviations of both amplitude and phase responses within the analyzed frequency ranges are in the order of 4 dB and 0.167π radians, respectively, among all experiments. Possible explanations for variations in the instrument responses include the violation of the assumption of constant phase velocities within the workflow due to dispersion and incorrect ground‐motion observations from reference measurements. The results encourage further integration of DAS‐based strain measurements into methods that exploit complete waveforms and not merely travel times, such as full‐waveform inversion. Ultimately, our developments are intended to provide a quantitative assessment of site‐ and frequency‐dependent DAS data that may help establish best practices for upcoming DAS surveys.

中文翻译：

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跨17个八度音阶的分布式声学传感（DAS）仪器响应的实证研究

凭借高时空采样的潜力以及利用现有光纤基础设施的能力，分布式声学传感（DAS）正在彻底改变地球物理地面运动测量的过程，特别是在偏远和城市地区，这些地区可能使用常规地震网络难以部署。但是，要使DAS成为既定方法，我们必须确保可以获得准确的幅度和相位信息。此外，随着DAS扩展到许多不同的应用领域，我们需要了解仪器响应在多大程度上取决于本地环境特性。根据最近的DAS响应研究，我们提出了一个一般的工作流程，以根据真实地面运动与观测到的DAS波形之间的传递函数，以经验方式量化DAS测量的质量。借助各种DAS数据和参考测量，我们使现有的仪器响应工作流程（通常在0.01到10 Hz的频带中）适应不同的实验，信号频率范围为1/3000到60 Hz。这些实验包括在地下岩石实验室中进行地震记录，在花岗岩中进行水力喷射实验，在农业土壤中进行主动地震以及在冰川上的雪中进行冰冻记录。结果表明，在所有实验中，所分析的频率范围内幅度和相位响应的平均标准偏差分别约为4 dB和0.167π弧度。仪器响应变化的可能解释包括由于分散和参考测量的不正确地面运动观测值而违反了工作流程中恒定相速度的假设。结果鼓励将基于DAS的应变测量进一步集成到利用完整波形而不仅仅是行进时间的方法中，例如全波形反演。最终，我们的开发旨在对站点和频率相关的DAS数据进行定量评估，这可能有助于为即将进行的DAS调查建立最佳实践。结果鼓励将基于DAS的应变测量进一步集成到利用完整波形而不仅仅是传播时间的方法中，例如全波形反演。最终，我们的开发旨在对站点和频率相关的DAS数据进行定量评估，这可能有助于为即将进行的DAS调查建立最佳实践。结果鼓励将基于DAS的应变测量进一步集成到利用完整波形而不仅仅是传播时间的方法中，例如全波形反演。最终，我们的开发旨在对站点和频率相关的DAS数据进行定量评估，这可能有助于为即将进行的DAS调查建立最佳实践。