Exposure manipulation strategies for balancing computational efficiency and precision in seismic risk analysis.
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| Title: | Exposure manipulation strategies for balancing computational efficiency and precision in seismic risk analysis. |
|---|---|
| Authors: | Papadopoulos, Athanasios N.1,2 (AUTHOR) athanasios.papadopoulos@moodys.com, Roth, Philippe1 (AUTHOR), Danciu, Laurentiu1 (AUTHOR) |
| Source: | Bulletin of Earthquake Engineering. Jul2024, Vol. 22 Issue 9, p4779-4795. 17p. |
| Subject Terms: | *Earthquake hazard analysis, *Databases, *Spatial resolution, *Population density, *K-means clustering, *Risk assessment |
| Abstract: | Exposure models for regional seismic risk assessment often place assets at the centroids of administrative units for which data are available. At best, a top-down approach is followed, where such data are spatially disaggregated over a denser spatial grid, using proxy datasets such as the distribution of population or the density of night-time lights. The resolution of the spatial grid is either dictated by the resolution of the proxy dataset, or by constraints in computational resources. On the other hand, if a building-by-building database is available, it often needs to be aggregated and brought to a resolution that ensures acceptable calculation runtimes and memory demands. Several studies have now investigated the impact of exposure aggregation on loss estimates. Herein, unlike previous attempts, we can leverage upon an extensive building-by-building database for the Swiss territory, which we can use as ground truth. We firstly proceed to assess the aggregation-induced errors of standard risk metrics at different spatial scales. Then a new strategy for performing said aggregation is proposed, relying on a K-means clustering of site parameters and a reduction of the loss ratio uncertainty for aggregated assets. These interventions are designed with the objective of minimizing errors, while keeping the computational cost manageable. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 178231443 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Exposure manipulation strategies for balancing computational efficiency and precision in seismic risk analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Papadopoulos%2C+Athanasios+N%2E%22">Papadopoulos, Athanasios N.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> athanasios.papadopoulos@moodys.com</i><br /><searchLink fieldCode="AR" term="%22Roth%2C+Philippe%22">Roth, Philippe</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Danciu%2C+Laurentiu%22">Danciu, Laurentiu</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Bulletin+of+Earthquake+Engineering%22">Bulletin of Earthquake Engineering</searchLink>. Jul2024, Vol. 22 Issue 9, p4779-4795. 17p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Earthquake+hazard+analysis%22">Earthquake hazard analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br />*<searchLink fieldCode="DE" term="%22Spatial+resolution%22">Spatial resolution</searchLink><br />*<searchLink fieldCode="DE" term="%22Population+density%22">Population density</searchLink><br />*<searchLink fieldCode="DE" term="%22K-means+clustering%22">K-means clustering</searchLink><br />*<searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Exposure models for regional seismic risk assessment often place assets at the centroids of administrative units for which data are available. At best, a top-down approach is followed, where such data are spatially disaggregated over a denser spatial grid, using proxy datasets such as the distribution of population or the density of night-time lights. The resolution of the spatial grid is either dictated by the resolution of the proxy dataset, or by constraints in computational resources. On the other hand, if a building-by-building database is available, it often needs to be aggregated and brought to a resolution that ensures acceptable calculation runtimes and memory demands. Several studies have now investigated the impact of exposure aggregation on loss estimates. Herein, unlike previous attempts, we can leverage upon an extensive building-by-building database for the Swiss territory, which we can use as ground truth. We firstly proceed to assess the aggregation-induced errors of standard risk metrics at different spatial scales. Then a new strategy for performing said aggregation is proposed, relying on a K-means clustering of site parameters and a reduction of the loss ratio uncertainty for aggregated assets. These interventions are designed with the objective of minimizing errors, while keeping the computational cost manageable. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=178231443 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10518-024-01929-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 4779 Subjects: – SubjectFull: Earthquake hazard analysis Type: general – SubjectFull: Databases Type: general – SubjectFull: Spatial resolution Type: general – SubjectFull: Population density Type: general – SubjectFull: K-means clustering Type: general – SubjectFull: Risk assessment Type: general Titles: – TitleFull: Exposure manipulation strategies for balancing computational efficiency and precision in seismic risk analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Papadopoulos, Athanasios N. – PersonEntity: Name: NameFull: Roth, Philippe – PersonEntity: Name: NameFull: Danciu, Laurentiu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 1570761X Numbering: – Type: volume Value: 22 – Type: issue Value: 9 Titles: – TitleFull: Bulletin of Earthquake Engineering Type: main |
| ResultId | 1 |
