Testing Tsunami Inundation Maps for Evacuation Planning in Italy

dc.centroEscuela de Ingenierías Industrialeses_ES
dc.contributor.authorTonini, Roberto
dc.contributor.authorDi Manna, Pio
dc.contributor.authorLorito, Stefano
dc.contributor.authorSelva, Jacopo
dc.contributor.authorVolpe, Manuela
dc.contributor.authorRomano, Fabrizio
dc.contributor.authorBasili, Roberto
dc.contributor.authorBrizuela, Beatriz
dc.contributor.authorCastro-Díaz, Manuel Jesús
dc.contributor.authorde la Asunción, Marc
dc.contributor.authorDi Bucci, Daniela
dc.contributor.authorDolce, Mario
dc.contributor.authorGarcia, Alexander
dc.contributor.authorGibbons, Steven
dc.contributor.authorGlimsdal, Sylfest
dc.contributor.authorGonzález-Vida, José Manuel
dc.contributor.authorLovholt, Finn
dc.contributor.authorMacías-Sánchez, Jorge
dc.contributor.authorPiatanesi, Alessi
dc.contributor.authorPizzimenti, Luca
dc.contributor.authorSánchez-Linares, Carlos
dc.contributor.authorVittori, Eutizio
dc.date.accessioned2024-09-24T08:10:11Z
dc.date.available2024-09-24T08:10:11Z
dc.date.issued2021-03-11
dc.departamentoMatemática Aplicada
dc.description.abstractInundation maps are a fundamental tool for coastal risk management and in particular for designing evacuation maps and evacuation planning. These in turn are a necessary component of the tsunami warning systems’ last-mile. In Italy inundation maps are informed by a probabilistic tsunami hazard model. Based on a given level of acceptable risk, Italian authorities in charge for this task recommended to consider, as design hazard intensity, the average return period of 2500 years and the 84th percentile of the hazard model uncertainty. An available, regional-scale tsunami hazard model was used that covers the entire Italian coastline. Safety factors based on analysis of run-up variability and an empirical coastal dissipation law on a digital terrain model (DTM) were applied to convert the regional hazard into the design run-up and the corresponding evacuation maps with a GIS-based approach. Since the regional hazard cannot fully capture the local-scale variability, this simplified and conservative approach is considered a viable and feasible practice to inform local coastal risk management in the absence of high-resolution hazard models. The present work is a first attempt to quantify the uncertainty stemming from such procedure. We compare the GIS-based inundation maps informed by a regional model with those obtained from a local high-resolution hazard model. Two locations on the coast of eastern Sicily were considered, and the local hazard was addressed with the same seismic model as the regional one, but using a higher-resolution DTM and massive numerical inundation calculations with the GPU-based Tsunami-HySEA nonlinear shallow water code. This study shows that the GIS-based inundation maps used for planning deal conservatively with potential hazard underestimation at the local scale, stemming from typically unmodeled uncertainties in the numerical source and tsunami evolution models.es_ES
dc.identifier.citationTonini R, Di Manna P, Lorito S, Selva J, Volpe M, Romano F, Basili R, Brizuela B, Castro MJ, de la Asunción M, Di Bucci D, Dolce M, Garcia A, Gibbons SJ, Glimsdal S, González-Vida JM, Løvholt F, Macías J, Piatanesi A, Pizzimenti L, Sánchez-Linares C and Vittori E (2021) Testing Tsunami Inundation Maps for Evacuation Planning in Italy. Front. Earth Sci. 9:628061es_ES
dc.identifier.doi10.3389/feart.2021.628061
dc.identifier.urihttps://hdl.handle.net/10630/32966
dc.language.isoenges_ES
dc.publisherFrontierses_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMaremotoses_ES
dc.subject.otherGeohazardses_ES
dc.subject.otherMathematical modellinges_ES
dc.subject.otherTsunami modelinges_ES
dc.subject.otherHazard Assessmentes_ES
dc.titleTesting Tsunami Inundation Maps for Evacuation Planning in Italyes_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
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relation.isAuthorOfPublicationbe83742d-af1d-4614-8aaa-261b00ef49c3
relation.isAuthorOfPublicationbddcc783-e16c-4e0c-9d40-dd067fe85214
relation.isAuthorOfPublication.latestForDiscoveryba2a6aeb-21e2-4d82-a79b-e346b19b2513

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