Quantitative Tsunami Risk Assessment in Terms of Building Replacement Cost Based on Tsunami Modelling and GIS Methods: The Case of Crete Isl., Hellenic Arc

Triantafyllou, Ioanna; Novikova, Tatyana; Charalampakis, Marinos; Fokaefs, Anna; Papadopoulos, Gerassimos A.

doi:10.1007/s00024-018-1984-9

Cited by 21 publications

(15 citation statements)

References 93 publications

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“…This might be also relevant for tsunami-induced losses that are strongly influenced by the presence and cost of non-structural building elements. Accordingly, more refined financial tsunami consequence models such as the one proposed by Suppasri et al, (2019) and/ or Triantafyllou et al, (2019 are worth exploring when detailed 540 information about prices and built-up areas at the individual building level are available for the study area. In the presented example case, the tsunami economic consequence model was entirely based on the replacement costs of the SARA model obtained from the inter-scheme conversion matrix.…”

Section: Discussionmentioning

confidence: 99%

Variable-resolution building exposure modelling for earthquake and tsunami scenario-based risk assessment. An application case in Lima, Peru

Zapata¹,

Brinckmann²,

Harig³

et al. 2021

Preprint

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Abstract. We propose the use of variable resolution boundaries based on Central Voronoi Tessellations (CVT) to spatially aggregate building exposure models for risk assessment to various natural hazards. Such a framework is especially beneficial when the spatial distribution of the considered hazards present intensity measures with contrasting footprints and spatial correlations such as in coastal environments. This proposal avoids the incorrect assumption that a single intensity value from hazards with low spatial correlation (e.g. tsunami) are considered as representative within large sized geocells for physical vulnerability assessment, without, at the same time, increasing the complexity of the overall model. We present decoupled earthquake and tsunami scenario-based risk estimates for the residential building stock of Lima (Peru). We observe that earthquake loss models for far-field subduction sources are practically insensitive to the exposure resolution. Conversely, tsunami loss models and associated uncertainties depend on the spatial correlations of the hazard intensities as well as on the resolution of the exposure models. We observe that for the portfolio located in the coastal area exposed to both perils in Lima, the ground-shaking dominates the losses for lower magnitudes whilst the tsunami does for the larger ones. For the latter, two sets of existing empirical flow-depth fragility models are used, finding large differences in the losses. This study arises awareness about the uncertainties in the selection of fragility models and aggregations entities for exposure modelling and loss mapping.

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Section: Discussionmentioning

confidence: 99%

Variable-resolution building exposure modelling for earthquake and tsunami scenario-based risk assessment. An application case in Lima, Peru

Zapata¹,

Brinckmann²,

Harig³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…served post-tsunami damage data taken during a field survey (e.g., Peiris, 2006;Reese et al, 2007;Valencia et al, 2011;Charvet et al, 2017;Triantafyllou et al, 2019); maximum flow depths measured from tsunami water traces are typically used as explanatory variables of damage. Building damage data are obtained from on-site observations.…”

Section: Empirical Methods Based On Statistical Analysis Of Ob-mentioning

confidence: 99%

“…Global stability failure in a building can be a result of either sliding or overturning as a solitary body, often with minimal damage to structural and nonstructural components (Yeh et al, 2014). Overturning refers to the rotation of a building around its foundation where it has failed.…”

Section: Alternative Approach To Tsunami Damage Assessmentmentioning

confidence: 99%

“…Overturning refers to the rotation of a building around its foundation where it has failed. Sliding, on the other hand, is the horizontal translation of a building from its original position (Yeh et al, 2014). The two mechanisms are modeled separately in this study to determine the predominant mechanism for building collapse.…”

Section: Alternative Approach To Tsunami Damage Assessmentmentioning

confidence: 99%

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Load-resistance analysis: an alternative approach to tsunami damage assessment applied to the 2011 Great East Japan tsunami

Suppasri

Pakoksung

Charvet

et al. 2019

Nat. Hazards Earth Syst. Sci.

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Abstract. Tsunami fragility functions describe the probability of structural damage due to tsunami flow characteristics. Fragility functions developed from past tsunami events (e.g., the 2004 Indian Ocean tsunami) are often applied directly, without modification, to other areas at risk of tsunami for the purpose of damage and loss estimations. Consequentially, estimates carry uncertainty due to disparities in construction standards and coastal morphology between the specific region for which the fragility functions were originally derived and the region where they are being used. The main objective of this study is to provide an alternative approach to assessing tsunami damage, especially for buildings in regions where previously developed fragility functions do not exist. A damage assessment model is proposed in this study, where load-resistance analysis is performed for each building by evaluating hydrodynamic forces, buoyancies and debris impacts and comparing them to the resistance forces of each building. Numerical simulation was performed in this study to reproduce the 2011 Great East Japan tsunami in Ishinomaki, which is chosen as a study site. Flow depths and velocities were calculated for approximately 20 000 wooden buildings in Ishinomaki. Similarly, resistance forces (lateral and vertical) are estimated for each of these buildings. The buildings are then evaluated for their potential of collapsing. Results from this study reflect a higher accuracy in predicting building collapse when using the proposed load-resistance analysis, as compared to previously developed fragility functions in the same study area. Damage is also observed to have likely occurred before flow depth and velocity reach maximum values. With the above considerations, the proposed damage model might well be an alternative for building damage assessments in areas that have yet to be affected by modern tsunami events.

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“…In a field survey, maximum flow depth measured from tsunami water traces are typically used as explanatory variables of damage. Building damage data is obtained from on-site observations (Reese et al, 2007, Valencia et al, 2011, Suppasri et al, 2015and Triantafyllou et al, 2018. This method combines tsunami numerical simulation, which generates maximum flow depth, flow velocity and hydrodynamic force values, and satellite image analysis of pre-and post-disaster images to obtain building damage data (Koshimura et al, 2009, Omira et al, 2010 or other damage data set such as damaged marine vessels (Suppasri et al, 2014), damaged bridges (Shoji and Nakamura, 2017) as well as aquaculture rafts and eelgrass (Suppasri et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Load-resistance analysis: An alternative approach to tsunami damage assessment applied to the 2011 Great East Japan tsunami

Suppasri¹,

Pakoksung²,

Charvet³

et al. 2019

Preprint

View full text Add to dashboard Cite

Abstract. Tsunami fragility functions describe the probability of structural damage to tsunami flow characteristics. Fragility functions developed from past tsunami events (e.g. 2004 Indian Ocean tsunami) are often applied directly, without modifications, to other areas at risk of tsunami for the purpose of damage and loss estimations. Consequentially, estimates carry uncertainty due to disparities in construction standards and coastal morphology between the specific region for which the fragility functions were originally derived and the region where they were being used. The main objective of this study is to provide an alternative approach to assessing tsunami damage, especially for buildings in regions where previously developed fragility functions do not exist. A damage assessment model is proposed in this study, where load-resistance analysis is performed for each building by evaluating hydrodynamic forces, buoyancies and debris impacts and comparing them to the resistance forces of each building. Numerical simulation was performed in this study to reproduce the 2011 Great East Japan tsunami in Ishinomaki city, which is chosen as a study site. Flow depths and velocities were calculated for approximately 20 000 wooden buildings in Ishinomaki city. Similarly, resistance forces (lateral and vertical) are estimated for each of these buildings. The buildings are then evaluated for its potential to collapse. Results from this study reflect a higher accuracy in predicting building collapse when using the proposed load-resistance analysis as compared to previously developed fragility functions in the same study area. Damage is also observed to have likely occurred before flow depth and velocity reach maximum values. With the above considerations, the proposed damage model might well be an alternative for building damage assessments in areas which have yet to be affected by modern tsunami events.

show abstract

Quantitative Tsunami Risk Assessment in Terms of Building Replacement Cost Based on Tsunami Modelling and GIS Methods: The Case of Crete Isl., Hellenic Arc

Cited by 21 publications

References 93 publications

Variable-resolution building exposure modelling for earthquake and tsunami scenario-based risk assessment. An application case in Lima, Peru

Variable-resolution building exposure modelling for earthquake and tsunami scenario-based risk assessment. An application case in Lima, Peru

Load-resistance analysis: an alternative approach to tsunami damage assessment applied to the 2011 Great East Japan tsunami

Load-resistance analysis: An alternative approach to tsunami damage assessment applied to the 2011 Great East Japan tsunami

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