Embracing Uncertainty in "Small Data" Problems: Estimating Earthquakes from Historical Anecdotes

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Glatt-Holtz, Nathan E., Harris, Ronald A., Holbrook, Andrew J., Krometis, Justin A., Kurniawan, Yonatan, Ringer, Hayden, Whitehead, Jared P.
Natura: Preprint
Pubblicazione: 2021
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866909459167576064
author Glatt-Holtz, Nathan E.
Harris, Ronald A.
Holbrook, Andrew J.
Krometis, Justin A.
Kurniawan, Yonatan
Ringer, Hayden
Whitehead, Jared P.
author_facet Glatt-Holtz, Nathan E.
Harris, Ronald A.
Holbrook, Andrew J.
Krometis, Justin A.
Kurniawan, Yonatan
Ringer, Hayden
Whitehead, Jared P.
contents Seismic risk estimates will be vastly improved with an increased understanding of historical (and pre-historical) seismic events. However the only existing data for these events is anecdotal and sparse. To address this we developed a framework based on Bayesian inference to estimate the location and magnitude of pre-instrumental earthquakes. We present a careful analysis of results obtained from this procedure which justifies the sampling algorithm, its convergence to the resultant posterior distribution, and yields estimates on uncertainties in the relevant quantities. Using a priori estimates on the posterior and numerical approximations of the Hessian, we demonstrate that the 1852 Banda Sea earthquake and tsunami is indeed well-understood given certain explicit hypotheses. Using the same techniques we also find that the 1820 south Sulawesi event may best be explained by a dual fault rupture, best attributed to the Kalatoa fault potentially conjoining the Flores thrust and Walanae/Selayar fault.
format Preprint
id arxiv_https___arxiv_org_abs_2106_07797
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Embracing Uncertainty in "Small Data" Problems: Estimating Earthquakes from Historical Anecdotes
Glatt-Holtz, Nathan E.
Harris, Ronald A.
Holbrook, Andrew J.
Krometis, Justin A.
Kurniawan, Yonatan
Ringer, Hayden
Whitehead, Jared P.
Applications
Geophysics
62P35, 86A22
Seismic risk estimates will be vastly improved with an increased understanding of historical (and pre-historical) seismic events. However the only existing data for these events is anecdotal and sparse. To address this we developed a framework based on Bayesian inference to estimate the location and magnitude of pre-instrumental earthquakes. We present a careful analysis of results obtained from this procedure which justifies the sampling algorithm, its convergence to the resultant posterior distribution, and yields estimates on uncertainties in the relevant quantities. Using a priori estimates on the posterior and numerical approximations of the Hessian, we demonstrate that the 1852 Banda Sea earthquake and tsunami is indeed well-understood given certain explicit hypotheses. Using the same techniques we also find that the 1820 south Sulawesi event may best be explained by a dual fault rupture, best attributed to the Kalatoa fault potentially conjoining the Flores thrust and Walanae/Selayar fault.
title Embracing Uncertainty in "Small Data" Problems: Estimating Earthquakes from Historical Anecdotes
topic Applications
Geophysics
62P35, 86A22
url https://arxiv.org/abs/2106.07797