Articles | Volume 20, issue 7
https://doi.org/10.5194/nhess-20-1903-2020
https://doi.org/10.5194/nhess-20-1903-2020
Research article
 | 
02 Jul 2020
Research article |  | 02 Jul 2020

Spatial seismic hazard variation and adaptive sampling of portfolio location uncertainty in probabilistic seismic risk analysis

Christoph Scheingraber and Martin Käser

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (29 Jan 2020) by Filippos Vallianatos
ED: Reconsider after major revisions (further review by editor and referees) (29 Jan 2020) by Filippos Vallianatos
AR by Christoph Scheingraber on behalf of the Authors (25 Feb 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (29 Mar 2020) by Filippos Vallianatos
RR by Anonymous Referee #1 (08 Apr 2020)
RR by Anonymous Referee #4 (09 May 2020)
ED: Publish subject to minor revisions (review by editor) (09 May 2020) by Filippos Vallianatos
AR by Christoph Scheingraber on behalf of the Authors (19 May 2020)  Author's response   Manuscript 
ED: Publish as is (31 May 2020) by Filippos Vallianatos
AR by Christoph Scheingraber on behalf of the Authors (08 Jun 2020)
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Short summary
Probabilistic seismic risk analysis is widely used in the insurance industry to model losses to insured portfolios by earthquake events. Risk items are often only known to be located within an administrative geographical zone, but precise coordinates remain unknown to the modeler. We analyze spatial seismic hazard and loss rate variation inside administrative zones in western Indonesia. Building upon this, we present a novel framework for efficient treatment of portfolio location uncertainty.
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