Towards Global Earthquake Early Warning with the MyShake Smartphone Seismic Network Part 1 -- Detection algorithm and simulation platform
Qingkai Kong, Robert Martin-Short, Richard M. Allen

TL;DR
This paper introduces a network detection algorithm for the MyShake smartphone seismic network and a simulation platform to evaluate earthquake detection performance across different global regions.
Contribution
It presents a novel network detection algorithm based on modified DBSCAN and a simulation platform for testing earthquake scenarios worldwide.
Findings
Algorithm successfully detects earthquakes in real data
Simulation platform models earthquake detection in diverse regions
System demonstrates potential for large-scale earthquake early warning
Abstract
The MyShake project aims to build a global smartphone seismic network to facilitate large-scale earthquake early warning and other applications by leveraging the power of crowdsourcing. The MyShake mobile application first detects earthquake shaking on a single phone. The earthquake is then confirmed on the MyShake servers using a "network detection" algorithm that is activated by multiple single-phone detections. In this part one of the two paper series, we present a network detection algorithm and a simulation platform to test earthquake scenarios at various locations around the world. The proposed network detection algorithm is built on the DBSCAN classic spatial clustering algorithm, with modifications to take temporal characteristics into account and the association of new triggers. We test our network detection algorithm using real data recorded by MyShake users during the M4.4…
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Taxonomy
TopicsSeismology and Earthquake Studies · Seismic Waves and Analysis · Earthquake Detection and Analysis
