Initial tuning of SeisComP parameters will focus on optimizing the selection of passbands and the parameters of the earthquake phase detection and picking algorithms, specifically the short-time-average/long-time-average (STA/LTA) trigger, to account for noise conditions and moderate seismicity rates in western Ukraine.
Once the parameters have been optimized for the entire network, they will be further fine-tuned for individual stations through directed grid searches, evaluating their impact on missed detections and false pick alerts.
Although automatic phase picking significantly reduces the need for manual review, it does not eliminate it entirely. Manual pick refinement and event relocation will be performed using the scolv module in SeisComP to improve accuracy where necessary. This process includes picking additional phases, confirming existing picks, and adding supplementary information such as polarity. In addition, a deep learning (DL)–based repicker module for SeisComP, based on the SeisBench framework, will be tested to assess its potential for enhancing detection capabilities within Ukraine’s seismic network.
To further improve earthquake location accuracy, travel-time tables derived from local velocity models will be generated and implemented in the LOCSAT location module, which by default uses the iasp91 model.
The earthquake catalogue will be refined through the determination of a local one-dimensional (1-D) velocity model and the application of station corrections. This will be achieved by jointly inverting picked travel times using VELEST. A minimum 1-D velocity model will be derived through an iterative inversion process that simultaneously refines velocity parameters and earthquake locations. Lateral heterogeneities will be addressed through station corrections, compensating for variations in near-surface velocities and station elevations. The resulting model will provide a simplified yet optimal velocity structure, minimizing residual errors across the dataset and improving hypocenter location accuracy.
The refined earthquake catalogue will serve as the basis for a seismotectonic analysis of the Ukrainian Carpathians, examining spatial and temporal seismicity patterns in relation to major fault systems. Together, these efforts establish a modern foundation for seismic monitoring and tectonic analysis in Ukraine.
