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Earthquake Detection Using Accelerometers and Magnetic Sensors
Jack Hunter,
Anwar Ali 
World Academy of Science, Engineering and Technology International Journal of Aerospace and Mechanical Engineering, Volume: 19, Issue: 8
Swansea University Author:
Anwar Ali
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Abstract
This paper covers the use of accelerometers and magnetic field sensors for detecting an earthquake before it arrives. This is possible because earthquakes emit a small magnetic wave from the epicentre that travels faster than the earthquake itself, allowing early detection and warning. Furthermore,...
| Published in: | World Academy of Science, Engineering and Technology International Journal of Aerospace and Mechanical Engineering |
|---|---|
| Published: |
2025
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa70109 |
| first_indexed |
2025-08-04T14:48:48Z |
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| last_indexed |
2025-09-27T06:40:39Z |
| id |
cronfa70109 |
| recordtype |
SURis |
| fullrecord |
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2025-09-26T15:47:00.2082352 v2 70109 2025-08-04 Earthquake Detection Using Accelerometers and Magnetic Sensors f206105e1de57bebba0fd04fe9870779 0000-0001-7366-9002 Anwar Ali Anwar Ali true false 2025-08-04 ACEM This paper covers the use of accelerometers and magnetic field sensors for detecting an earthquake before it arrives. This is possible because earthquakes emit a small magnetic wave from the epicentre that travels faster than the earthquake itself, allowing early detection and warning. Furthermore, an earthquake is made up of a fast-moving Primary (P) wave, and a slower more dangerous Secondary (S) wave. It is also possible to detect the P wave with an accelerometer to warn of the incoming S wave. The earthquake detection circuit can be constructed using the MPU6050 accelerometer and BMM150 magnetic field sensor, both connected to a Raspberry Pi Pico to utilise its powerful microcontroller that can also connect to an alarm system. This design shows a proof of concept for earthquake detection using magnetic field waves. Nevertheless, there are possible improvements such as using better sensors with less interference as well as progressing into using machine learning for detecting the earthquakes’ precursors which could help improve the design further. Journal Article World Academy of Science, Engineering and Technology International Journal of Aerospace and Mechanical Engineering 19 8 Earthquakes, epicentre, magnetic field, secondary wave, primary waves 24 7 2025 2025-07-24 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2025-09-26T15:47:00.2082352 2025-08-04T15:45:10.7020350 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering Jack Hunter 1 Anwar Ali 0000-0001-7366-9002 2 70109__34910__ef5e10bddaa243e799adbb11a15e6269.pdf 70109.pdf 2025-08-04T15:48:29.6679357 Output 438156 application/pdf Version of Record true Released under the terms of a Creative Commons Attribution 4.0 International License (CC-BY). true eng https://creativecommons.org/licenses/by/4.0/ |
| title |
Earthquake Detection Using Accelerometers and Magnetic Sensors |
| spellingShingle |
Earthquake Detection Using Accelerometers and Magnetic Sensors Anwar Ali |
| title_short |
Earthquake Detection Using Accelerometers and Magnetic Sensors |
| title_full |
Earthquake Detection Using Accelerometers and Magnetic Sensors |
| title_fullStr |
Earthquake Detection Using Accelerometers and Magnetic Sensors |
| title_full_unstemmed |
Earthquake Detection Using Accelerometers and Magnetic Sensors |
| title_sort |
Earthquake Detection Using Accelerometers and Magnetic Sensors |
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f206105e1de57bebba0fd04fe9870779 |
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f206105e1de57bebba0fd04fe9870779_***_Anwar Ali |
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Anwar Ali |
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Jack Hunter Anwar Ali |
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Journal article |
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World Academy of Science, Engineering and Technology International Journal of Aerospace and Mechanical Engineering |
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19 |
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8 |
| publishDate |
2025 |
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Swansea University |
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Faculty of Science and Engineering |
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School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering |
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| description |
This paper covers the use of accelerometers and magnetic field sensors for detecting an earthquake before it arrives. This is possible because earthquakes emit a small magnetic wave from the epicentre that travels faster than the earthquake itself, allowing early detection and warning. Furthermore, an earthquake is made up of a fast-moving Primary (P) wave, and a slower more dangerous Secondary (S) wave. It is also possible to detect the P wave with an accelerometer to warn of the incoming S wave. The earthquake detection circuit can be constructed using the MPU6050 accelerometer and BMM150 magnetic field sensor, both connected to a Raspberry Pi Pico to utilise its powerful microcontroller that can also connect to an alarm system. This design shows a proof of concept for earthquake detection using magnetic field waves. Nevertheless, there are possible improvements such as using better sensors with less interference as well as progressing into using machine learning for detecting the earthquakes’ precursors which could help improve the design further. |
| published_date |
2025-07-24T05:25:16Z |
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1851460070190088192 |
| score |
11.089572 |