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Yield estimation of the 2020 Beirut explosion using open access waveform and remote sensing data
We report on a multi-technique analysis using publicly available data for investigating the huge, accidental explosion that struck the city of Beirut, Lebanon, on August 4, 2020. Its devastating shock wave led to thousands of injured with more than two hundred fatalities and caused immense damage to...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266808/ https://www.ncbi.nlm.nih.gov/pubmed/34239015 http://dx.doi.org/10.1038/s41598-021-93690-y |
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author | Pilger, Christoph Gaebler, Peter Hupe, Patrick Kalia, Andre C. Schneider, Felix M. Steinberg, Andreas Sudhaus, Henriette Ceranna, Lars |
author_facet | Pilger, Christoph Gaebler, Peter Hupe, Patrick Kalia, Andre C. Schneider, Felix M. Steinberg, Andreas Sudhaus, Henriette Ceranna, Lars |
author_sort | Pilger, Christoph |
collection | PubMed |
description | We report on a multi-technique analysis using publicly available data for investigating the huge, accidental explosion that struck the city of Beirut, Lebanon, on August 4, 2020. Its devastating shock wave led to thousands of injured with more than two hundred fatalities and caused immense damage to buildings and infrastructure. Our combined analysis of seismological, hydroacoustic, infrasonic and radar remote sensing data allows us to characterize the source as well as to estimate the explosive yield. The latter is determined within 0.13 to 2 kt TNT (kilotons of trinitrotoluene). This range is plausible given the reported 2.75 kt of ammonium nitrate as explosive source. As there are strict limitations for an on-site analysis of this catastrophic explosion, our presented approach based on data from open accessible global station networks and satellite missions is of high scientific and social relevance that furthermore is transferable to other explosions. |
format | Online Article Text |
id | pubmed-8266808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82668082021-07-09 Yield estimation of the 2020 Beirut explosion using open access waveform and remote sensing data Pilger, Christoph Gaebler, Peter Hupe, Patrick Kalia, Andre C. Schneider, Felix M. Steinberg, Andreas Sudhaus, Henriette Ceranna, Lars Sci Rep Article We report on a multi-technique analysis using publicly available data for investigating the huge, accidental explosion that struck the city of Beirut, Lebanon, on August 4, 2020. Its devastating shock wave led to thousands of injured with more than two hundred fatalities and caused immense damage to buildings and infrastructure. Our combined analysis of seismological, hydroacoustic, infrasonic and radar remote sensing data allows us to characterize the source as well as to estimate the explosive yield. The latter is determined within 0.13 to 2 kt TNT (kilotons of trinitrotoluene). This range is plausible given the reported 2.75 kt of ammonium nitrate as explosive source. As there are strict limitations for an on-site analysis of this catastrophic explosion, our presented approach based on data from open accessible global station networks and satellite missions is of high scientific and social relevance that furthermore is transferable to other explosions. Nature Publishing Group UK 2021-07-08 /pmc/articles/PMC8266808/ /pubmed/34239015 http://dx.doi.org/10.1038/s41598-021-93690-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Pilger, Christoph Gaebler, Peter Hupe, Patrick Kalia, Andre C. Schneider, Felix M. Steinberg, Andreas Sudhaus, Henriette Ceranna, Lars Yield estimation of the 2020 Beirut explosion using open access waveform and remote sensing data |
title | Yield estimation of the 2020 Beirut explosion using open access waveform and remote sensing data |
title_full | Yield estimation of the 2020 Beirut explosion using open access waveform and remote sensing data |
title_fullStr | Yield estimation of the 2020 Beirut explosion using open access waveform and remote sensing data |
title_full_unstemmed | Yield estimation of the 2020 Beirut explosion using open access waveform and remote sensing data |
title_short | Yield estimation of the 2020 Beirut explosion using open access waveform and remote sensing data |
title_sort | yield estimation of the 2020 beirut explosion using open access waveform and remote sensing data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266808/ https://www.ncbi.nlm.nih.gov/pubmed/34239015 http://dx.doi.org/10.1038/s41598-021-93690-y |
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