Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Detecting the Unseen: Understanding the Mechanisms and Working Principles of Earthquake Sensors

Bingwei Tian
ORCID logo ,
Wenrui Liu
,
Haozhou Mo
,
Wang Li
,
Tenglong Quan
* ,
Yuting Wang
,
Basanta Raj Adhikari
* ORCID logo
Version 1 : Received: 28 March 2023 / Approved: 29 March 2023 / Online: 29 March 2023 (16:36:57 CEST)

A peer-reviewed article of this Preprint also exists.

Tian, B.; Liu, W.; Mo, H.; Li, W.; Wang, Y.; Adhikari, B.R. Detecting the Unseen: Understanding the Mechanisms and Working Principles of Earthquake Sensors. Sensors 2023, 23, 5335. Tian, B.; Liu, W.; Mo, H.; Li, W.; Wang, Y.; Adhikari, B.R. Detecting the Unseen: Understanding the Mechanisms and Working Principles of Earthquake Sensors. Sensors 2023, 23, 5335.

Abstract

The application of movement-detection sensors is crucial for understanding surface movement and tectonic activities. The development of modern sensors has been instrumental in earthquake monitoring, prediction, early warning, emergency commanding and communication, search and rescue, and life detection. There are numerous sensors currently being utilized in earthquake engineering and science. It is essential to review their mechanisms and working principles thoroughly. Hence, we have attempted to review the development and application of these sensors by classifying them based on the timeline of earthquakes, physical or chemical mechanisms of sensors, and location of sensor platforms. In this study, we analyzed all available sensor platforms that have been widely used in recent years, with satellites and UAVs being among the most used. The findings of our study will be useful for future earthquake response and relief efforts, as well as research aimed at reducing earthquake disaster risks.

Keywords

sensors; earthquake DRR; monitoring; early warning; search and rescue

Subject

Public Health and Healthcare, Health Policy and Services

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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