← Back to Sessions

Earthquake Early Warning Instrumentation and Efficient Workflows

Description: 

To optimize earthquake early warning (EEW) systems, much can be learned from existing and industry proven EEW solutions and how they can be efficiently deployed with high quality ground motions seismic stations capable of delivering the highest fidelity and low latency data sets to the processing data centers’ detection algorithms. Specifically, public safety EEW systems require strict service level agreements (SLA) with regards to overall uptime, prompt arrival of high quality data, and issuance of accurate and timely warnings. This can only be achieved via the proper definition and selection of sensors, dataloggers, power systems, and communication systems. Also, when planning EEW Networks, it is important to consider the end-to-end workflow, from system definition and roll-out, through to network operation, maintenance and ongoing validation to ensure the system continues to satisfy its mandate. Deployment of an EEW system can represent a significant challenge to monitoring agencies, but leveraging proven implementations and technology partners can greatly reduce the associated risk and implementation timeline.

Additional Authors: Michael Laporte ( Michaellaporte@nanometrics.ca), David Easton ( davideaston@nanometrics.ca, ( Nick Pelyk ( Nickpelyk@nanometrics.ca)

Session: Earthquake Early Warning Optimization and Efficacy [Poster]

Type: Poster

Date: 4/20/2023

Presentation Time: 08:00 AM (local time)

Presenting Author: Michael Perlin

Student Presenter: No

Invited Presentation: 

Authors