Reliable P-wave detection is essential in seismic monitoring and early warning systems, as it determines how quickly and accurately an event is identified. The 3σ-IMAV method, which tracks variations in impact momentum derived from seismic jerk signals, has shown stable performance under noisy conditions with low computational cost. However, the influence of its internal parameters on detection performance has not been fully examined.This study investigates the sensitivity of key parameters in the 3σ-IMAV algorithm using real seismic records from the IRIS global network. The IMAV window length, threshold scaling factor, and minimum exceedance duration are systematically varied, and their effects are evaluated using event-based metrics, including detection success rate, false detection rate, late detection rate, and detection time error. The results quantify performance trade-offs in parameter selection and offer empirical evidence for selecting optimal parameters across diverse IRIS seismic records.
Hun Choi (Fri,) studied this question.