Open Collections

Daiss, Ivelina

University of British Columbia

Earthquakes are unpredictable, unpreventable natural events that cause extensive damage to the impacted area’s infrastructure and inhabitants. Early warning systems are humanity’s way of having some prior knowledge of the onset of earthquakes. Historically, Earthquake Early Warning (EEW) systems have been implemented, but have shown limited success in providing accurate, adequate, and meaningful information to help societies mitigate what is happening. A new approach to EEW is proposed in the Earthquake Early Warning in Smart Cities (EEW-SC) that utilizes modern technologies like 5th generation wireless access telecommunications networks and the Internet of Things (IoT) to achieve much improved seismic behaviour prediction and apply the learned toward next-gen mitigation and prevention strategies for urbanized and industrialized smart cities' protection. The outlined research covers the development of an advanced Dense Network of IoT Sensors (DeNIS) for seismic data collection in real-time and a novel mechanism for data acquisition, data transfer and Asynchronous Sensor Coordination (ASC). A detailed examination of 4th and 5th generation cellular technologies brought much needed understanding into the behaviour of an EEW system operated on a public telecommunications network. The learnings and developments in this work will be further incorporated with the soon-to-be developed and deployed in British Columbia EEW-SC.

Text

2023-09-01

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/85778

Electrical and Computer Engineering

University of British Columbia

UBCV

http://creativecommons.org/licenses/by-nc-nd/4.0/