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High spatial-resolution loss estimation using dense array strong-motion near-fault records. Case study for Hveragerði and the M w 6.3 Ölfus earthquake, South Iceland

Bibliographic Data

ID22029172
AuthorsAtefe Darzi (0000-0002-8780-9413, University of Iceland, corresponding author), Bjarni Bessason (0000-0002-7963-0763, University of Iceland), Benedikt Halldorsson (0000-0001-5591-8757, University of Iceland), Sergio Molina (0000-0002-8909-6285, University of Alicante), Alireza Kharazian (0000-0003-2691-8875, University of Alicante), Mojtaba Moosapoor (0009-0008-2709-1834, University of Iceland)
Year2022
Volume73
Pages102894
Publication date2022-04-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Disaster Risk Reduction (JOURNAL)
Journal identifiersISSN: 2212-4209
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2022.102894
OpenAlexW4220928095
LanguageEN
References cited44

Acceleration · Data set · Ground motion · Kriging · Machine learning · Peak ground acceleration · Physics · Seismology · Strong ground motion · Computer Science · earthquake and tectonic studies · Seismic Performance and Analysis · Seismic Waves and Analysis · Artificial Intelligence · Geology

Highly citedNo

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