Yield estimation of the 2020 Beirut explosion using open access waveform and remote sensing data

Abstract 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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Christoph Pilger, Peter Gaebler, Patrick Hupe, Andre C. Kalia, Felix M. Schneider, Andreas Steinberg, Henriette Sudhaus, Lars Ceranna
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/59ebe76a57554324a65c66d27c3dc016
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:59ebe76a57554324a65c66d27c3dc016
record_format	dspace
spelling	oai:doaj.org-article:59ebe76a57554324a65c66d27c3dc0162021-12-02T15:39:50ZYield estimation of the 2020 Beirut explosion using open access waveform and remote sensing data10.1038/s41598-021-93690-y2045-2322https://doaj.org/article/59ebe76a57554324a65c66d27c3dc0162021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93690-yhttps://doaj.org/toc/2045-2322Abstract 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.Christoph PilgerPeter GaeblerPatrick HupeAndre C. KaliaFelix M. SchneiderAndreas SteinbergHenriette SudhausLars CerannaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Christoph Pilger Peter Gaebler Patrick Hupe Andre C. Kalia Felix M. Schneider Andreas Steinberg Henriette Sudhaus Lars Ceranna Yield estimation of the 2020 Beirut explosion using open access waveform and remote sensing data
description	Abstract 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	article
author	Christoph Pilger Peter Gaebler Patrick Hupe Andre C. Kalia Felix M. Schneider Andreas Steinberg Henriette Sudhaus Lars Ceranna
author_facet	Christoph Pilger Peter Gaebler Patrick Hupe Andre C. Kalia Felix M. Schneider Andreas Steinberg Henriette Sudhaus Lars Ceranna
author_sort	Christoph Pilger
title	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_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_sort	yield estimation of the 2020 beirut explosion using open access waveform and remote sensing data
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/59ebe76a57554324a65c66d27c3dc016
work_keys_str_mv	AT christophpilger yieldestimationofthe2020beirutexplosionusingopenaccesswaveformandremotesensingdata AT petergaebler yieldestimationofthe2020beirutexplosionusingopenaccesswaveformandremotesensingdata AT patrickhupe yieldestimationofthe2020beirutexplosionusingopenaccesswaveformandremotesensingdata AT andreckalia yieldestimationofthe2020beirutexplosionusingopenaccesswaveformandremotesensingdata AT felixmschneider yieldestimationofthe2020beirutexplosionusingopenaccesswaveformandremotesensingdata AT andreassteinberg yieldestimationofthe2020beirutexplosionusingopenaccesswaveformandremotesensingdata AT henriettesudhaus yieldestimationofthe2020beirutexplosionusingopenaccesswaveformandremotesensingdata AT larsceranna yieldestimationofthe2020beirutexplosionusingopenaccesswaveformandremotesensingdata
_version_	1718385873241767936

Yield estimation of the 2020 Beirut explosion using open access waveform and remote sensing data

Ejemplares similares