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Back-to-back EEW research publications

Updated: Jan 18

We recently published two manuscripts showcasing our social science and technological research in New Zealand earthquake early warning (EEW). Both are open access.

The first publication is a social science book chapter entitled “Balancing human needs with technology – a design-led approach for exploring an earthquake early warning system in Aotearoa New Zealand” is published in the book Design for Emergency Management:

The chapter highlights a design-science approach towards an EEW system in Aotearoa New Zealand, showcasing the results from eight community workshops. It emphasises people’s outlook towards a transparent and inclusive public EEW system. It also highlights that communities think about tsunami risks when considering EEW.

The second publication is a journal article entitled “Performance analysis of P-wave detection algorithms for a community-engaged earthquake early warning system – a case study of the 2022 M5.8 Cook Strait earthquake”. It is published in the New Zealand Journal of Geology and Geophysics:

The article showcases our technological work investigating an appropriate P-wave detection algorithm for our experimental low-cost EEW network. The results show that a wavelet transformation-based P-wave picker is the most suitable algorithm for detecting an earthquake with minimal missed and false detections. This has implications for future EEW systems integrating with low-cost sensors.

These publications are a result of great collaboration with amazing people! Marion Tan led the social science book chapter, and Chanthujan Chandrakumar led the technological journal articles. Raj Prasanna leads the EEW research portfolio in CRISiSLab. Co-authors in these recent publications include Caroline Holden, Max Stephens, Anna Brown, Kristin Stock, Julia Becker, Christien Kenney, Emily Lambie and Alicia Cui.

Chanthujan Chandrakumar, Marion Tan, Raj Prasanna



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