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arXiv · 2210.15466

A statistical approach for controlling the probability of false alarm and missed detection in smartphone-based earthquake early warning systems

Frank Yannick Massoda Tchoussi·Francesco Finazzi
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Abstract

Smartphone-based earthquake early warning systems (EEWS) are emerging as a complementary solution to classic EEWS based on expensive scientific-grade instruments. Smartphone-based systems, however, are characterized by a highly dynamic network geometry and by noisy measurements. Thus the need to control the probability of false alarm and the probability of missed detection. This paper proposes a statistical approach based on the maximum likelihood method to address this challenge and to jointly estimate in near real-time earthquake parameters like epicentre and depth. The approach is tested using data coming from the Earthquake Network citizen science initiative which implements a global smartphone-based EEWS.

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Frank Yannick Massoda Tchoussi, Francesco Finazzi. 2022-10-27. A statistical approach for controlling the probability of false alarm and missed detection in smartphone-based earthquake early warning systems. https://arxiv.org/abs/2210.15466

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