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


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
08 07 2021
Historique:
received: 22 09 2020
accepted: 28 06 2021
entrez: 9 7 2021
pubmed: 10 7 2021
medline: 10 7 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34239015
doi: 10.1038/s41598-021-93690-y
pii: 10.1038/s41598-021-93690-y
pmc: PMC8266808
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

14144

Références

Sci Rep. 2019 Sep 10;9(1):13027
pubmed: 31506593
Nature. 2020 Aug 10;:
pubmed: 32778708
Nature. 2020 Aug 21;:
pubmed: 32826986

Auteurs

Christoph Pilger (C)

Federal Institute for Geosciences and Natural Resources (BGR), 30655, Hanover, Germany. christoph.pilger@bgr.de.

Peter Gaebler (P)

Federal Institute for Geosciences and Natural Resources (BGR), 30655, Hanover, Germany.

Patrick Hupe (P)

Federal Institute for Geosciences and Natural Resources (BGR), 30655, Hanover, Germany.

Andre C Kalia (AC)

Federal Institute for Geosciences and Natural Resources (BGR), 30655, Hanover, Germany.

Felix M Schneider (FM)

GFZ German Research Centre for Geosciences, 14473, Potsdam, Germany.

Andreas Steinberg (A)

Federal Institute for Geosciences and Natural Resources (BGR), 30655, Hanover, Germany.

Henriette Sudhaus (H)

Christian Albrechts University, 24118, Kiel, Germany.

Lars Ceranna (L)

Federal Institute for Geosciences and Natural Resources (BGR), 30655, Hanover, Germany.

Classifications MeSH