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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...

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Autores principales: Pilger, Christoph, Gaebler, Peter, Hupe, Patrick, Kalia, Andre C., Schneider, Felix M., Steinberg, Andreas, Sudhaus, Henriette, Ceranna, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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.
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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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