We present an interactive graphical tool for extraction of group‐velocity dispersion curves of seismic traces for rapid manual picking of large amounts of data: a task commonly encountered in ambient‐noise tomography. The program can be used for group‐velocity analysis of surface waves from earthquakes and controlled source data as well as of Green’s functions from cross‐correlated ambient‐noise data. The presented tool is especially suited to datasets in which automatic picking algorithms fail and so dispersion analysis is only possible by visual inspection. Such situations can occur in highly heterogeneous regions with complex surface‐wave dispersion or where surface‐wave arrivals are poorly emerged (as can often be the case with ambient‐noise‐derived Green’s functions from temporary seismic deployments). In these datasets, the poor signal‐to‐noise ratio, spectral holes, or limited bandwidth may therefore mean that manual analysis is the only choice. However, without an efficient workflow the feasibility of this can be seriously constrained by the analysis time for the potentially vast number of traces to be analyzed. We tackled this problem by implementing well‐known techniques of dispersion curve analysis (traditional frequency–time analysis) in a fast and interactive graphical environment. It is specifically developed for high user processing speed, prioritizing fast computation, and high display responsiveness. This solution retains the benefits of manual dispersion picking for complex datasets, while maintaining good user processing efficiency. An experienced analyst can measure upward of 200 traces per hour. xdcpick stands for an X‐window‐based picking of dispersion curves.

中文翻译：

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一种基于 GUI 的快速面波群速度分析工具

我们提出了一种交互式图形工具，用于提取地震道的群速度频散曲线，以快速手动拾取大量数据：环境噪声断层扫描中经常遇到的任务。该程序可用于对来自地震和受控源数据的表面波以及来自互相关环境噪声数据的格林函数进行群速度分析。所提出的工具特别适用于自动拾取算法失败的数据集，因此只能通过目视检查才能进行离散分析。这种情况可能发生在具有复杂表面波色散的高度异质区域，或者表面波到达很少出现的地方（通常是临时地震部署的环境噪声衍生格林函数的情况）。在这些数据集中，因此，较差的信噪比、频谱空洞或有限的带宽可能意味着手动分析是唯一的选择。然而，如果没有有效的工作流程，这种方法的可行性可能会受到要分析的潜在大量迹线的分析时间的严重限制。我们通过在快速交互式图形环境中实施著名的频散曲线分析技术（传统频率-时间分析）来解决这个问题。它专为高用户处理速度、优先考虑快速计算和高显示响应而开发。该解决方案保留了手动分散拾取复杂数据集的优点，同时保持了良好的用户处理效率。一位经验丰富的分析师每小时可以测量多达 200 条轨迹。