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Identifying attacks in the Russia–Ukraine conflict using seismic array data
Seismometers are generally used by the research community to study local or distant earthquakes, but seismograms also contain critical observations from regional(1,2) and global explosions(3), which can be used to better understand conflicts and identify potential breaches of international law. Alth...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533404/ https://www.ncbi.nlm.nih.gov/pubmed/37648860 http://dx.doi.org/10.1038/s41586-023-06416-7 |
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author | Dando, Ben D. E. Goertz-Allmann, Bettina P. Brissaud, Quentin Köhler, Andreas Schweitzer, Johannes Kværna, Tormod Liashchuk, Alexander |
author_facet | Dando, Ben D. E. Goertz-Allmann, Bettina P. Brissaud, Quentin Köhler, Andreas Schweitzer, Johannes Kværna, Tormod Liashchuk, Alexander |
author_sort | Dando, Ben D. E. |
collection | PubMed |
description | Seismometers are generally used by the research community to study local or distant earthquakes, but seismograms also contain critical observations from regional(1,2) and global explosions(3), which can be used to better understand conflicts and identify potential breaches of international law. Although seismic, infrasound and hydroacoustic technology is used by the International Monitoring System(4) to monitor nuclear explosions as part of the Comprehensive Nuclear-Test-Ban Treaty, the detection and location of lower-yield military attacks requires a network of sensors much closer to the source of the explosions. Obtaining comprehensive and objective data that can be used to effectively monitor an active conflict zone therefore remains a substantial challenge. Here we show how seismic waves generated by explosions in northern Ukraine and recorded by a local network of seismometers can be used to automatically identify individual attacks in close to real time, providing an unprecedented view of an active conflict zone. Between February and November 2022, we observed more than 1,200 explosions from the Kyiv, Zhytomyr and Chernihiv provinces, providing accurate origin times, locations and magnitudes. We identify a range of seismoacoustic signals associated with various types of military attack, with the resulting catalogue of explosions far exceeding the number of publicly reported attacks. Our results demonstrate that seismic data can be an effective tool for objective monitoring of a continuing conflict, providing invaluable information about potential breaches of international law. |
format | Online Article Text |
id | pubmed-10533404 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105334042023-09-29 Identifying attacks in the Russia–Ukraine conflict using seismic array data Dando, Ben D. E. Goertz-Allmann, Bettina P. Brissaud, Quentin Köhler, Andreas Schweitzer, Johannes Kværna, Tormod Liashchuk, Alexander Nature Article Seismometers are generally used by the research community to study local or distant earthquakes, but seismograms also contain critical observations from regional(1,2) and global explosions(3), which can be used to better understand conflicts and identify potential breaches of international law. Although seismic, infrasound and hydroacoustic technology is used by the International Monitoring System(4) to monitor nuclear explosions as part of the Comprehensive Nuclear-Test-Ban Treaty, the detection and location of lower-yield military attacks requires a network of sensors much closer to the source of the explosions. Obtaining comprehensive and objective data that can be used to effectively monitor an active conflict zone therefore remains a substantial challenge. Here we show how seismic waves generated by explosions in northern Ukraine and recorded by a local network of seismometers can be used to automatically identify individual attacks in close to real time, providing an unprecedented view of an active conflict zone. Between February and November 2022, we observed more than 1,200 explosions from the Kyiv, Zhytomyr and Chernihiv provinces, providing accurate origin times, locations and magnitudes. We identify a range of seismoacoustic signals associated with various types of military attack, with the resulting catalogue of explosions far exceeding the number of publicly reported attacks. Our results demonstrate that seismic data can be an effective tool for objective monitoring of a continuing conflict, providing invaluable information about potential breaches of international law. Nature Publishing Group UK 2023-08-30 2023 /pmc/articles/PMC10533404/ /pubmed/37648860 http://dx.doi.org/10.1038/s41586-023-06416-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Dando, Ben D. E. Goertz-Allmann, Bettina P. Brissaud, Quentin Köhler, Andreas Schweitzer, Johannes Kværna, Tormod Liashchuk, Alexander Identifying attacks in the Russia–Ukraine conflict using seismic array data |
title | Identifying attacks in the Russia–Ukraine conflict using seismic array data |
title_full | Identifying attacks in the Russia–Ukraine conflict using seismic array data |
title_fullStr | Identifying attacks in the Russia–Ukraine conflict using seismic array data |
title_full_unstemmed | Identifying attacks in the Russia–Ukraine conflict using seismic array data |
title_short | Identifying attacks in the Russia–Ukraine conflict using seismic array data |
title_sort | identifying attacks in the russia–ukraine conflict using seismic array data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533404/ https://www.ncbi.nlm.nih.gov/pubmed/37648860 http://dx.doi.org/10.1038/s41586-023-06416-7 |
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