Papua New Guinea (PNG) is among the most earthquake-prone regions globally, yet effective seismic monitoring remains limited due to sparse station coverage and challenges in data transmission and continuity. To address this, we implemented an automated ground-motion reporting system using waveform data from publicly available Raspberry Shake (RS) instruments recently deployed in PNG. The workflow is based on established ground-motion seismic processing procedures but is tailored and lightweight for low-cost, high-noise instruments. Adaptations include parallel processing for rapid execution and a manual review step for waveforms with artifacts. The system automatically retrieves waveform data, processes them to compute key shaking metrics - peak ground acceleration (PGA), peak ground velocity (PGV), and intensity measures - and distributes concise ground-motion reports via email within minutes of an event. This work demonstrates how standard methodologies can be adapted to extend ground-motion analysis in data-sparse regions using low-cost seismic networks.
Presented at the 2025 Australian Earthquake Engineering Society (AEES) National Conference