Non-Stationary Probabilistic Tsunami Hazard Assessments Incorporating Climate-Change- Driven Sea Level Rise

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dc.contributor.authorSepĂșlveda, Ignacio
dc.contributor.authorHaase, Jennifer S.
dc.contributor.authorLiu, Philip L.-F.
dc.contributor.authorGrigoriu, Mircea
dc.contributor.authorWinckler, Patricio
dc.date.accessioned2022-11-30T02:46:58Z
dc.date.available2022-11-30T02:46:58Z
dc.date.issued2021
dc.description.abstractWe face a new era in the assessment of multiple natural hazards whose statistics are becoming alarmingly non-stationary due to ubiquitous long-term changes in climate. One particular case is tsunami hazard affected by climate-change-driven sea level rise (SLR). A traditional tsunami hazard assessment approach where SLR is omitted or included as a constant sea-level offset in a probabilistic calculation may misrepresent the impacts of climate-change. In this paper, a general method called non-stationary probabilistic tsunami hazard assessment (nPTHA), is developed to include the long-term time-varying changes in mean sea level. The nPTHA is based on a non-stationary Poisson process model, which takes advantage of the independence of arrivals within non-overlapping time-intervals to specify a temporally varying hazard mean recurrence rate, affected by SLR. The nPTHA is applied to the South China Sea (SCS) for tsunamis generated by earthquakes in the Manila Subduction Zone. The method provides unique and comprehensive results for inundation hazard, combining tsunami and SLR at a specific location over a given exposure time. The results show that in the SCS, SLR has a significant impact when its amplitude is comparable to that of tsunamis with moderate probability of exceedance. The SLR and its associated uncertainty produce an impact on nPTHA results comparable to that caused by the uncertainty in the earthquake recurrence model. These findings are site-specific and must be analyzed for different regions. The proposed methodology, however, is sufficiently general to include other non-stationary phenomena and can be exploited for other hazards affected by SLR.en_ES
dc.facultadFacultad de IngenierĂ­aen_ES
dc.file.nameSepulveda_Non2021.pdf
dc.identifier.citationSepĂșlveda, I., Haase, J. S., Liu, P. L.-F., Grigoriu, M., & Winckler, P. (2021). Non-stationary probabilistic tsunami hazard assessments incorporating climate-change-driven sea level rise. Earth’s Future, 9, e2021EF002007. https://doi.org/10.1029/2021EF002007en_ES
dc.identifier.doihttps://doi.org/10.1029/2021EF002007
dc.identifier.urihttp://repositoriobibliotecas.uv.cl/handle/uvscl/7540
dc.languageen
dc.publisherAGU
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.sourceEarth's future
dc.titleNon-Stationary Probabilistic Tsunami Hazard Assessments Incorporating Climate-Change- Driven Sea Level Rise
dc.typeArticulo
uv.departamentoEscuela de Ingenieria Civil Oceanica

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