Authors / CoAuthors
Ghasemi, H. | Allen, T. | Horspool, N.
Abstract
A 'shake-map' represents the spatial distribution of macroseismic intensity resulting from an earthquake. These maps are often used to determine potential humanitarian consequences from scenario earthquakes, or in near-real time following the detection of an event. In the absence of dense strong-motion networks to calibrate real-time ground-shaking in many of the most vulnerable regions of the world, shake-maps are commonly generated using either Intensity Prediction Equations (IPEs) or Ground-Motion Prediction Equations (GMPEs) combined with Ground-Motion to Intensity Conversion Equations (GMICEs). There are several empirical models available to estimate the spatial distribution of intensity for an earthquake of given magnitude and location. However, these models can predict very different estimates of shaking intensity given the same input parameters; particularly at near-source distance ranges - the most critical distances for impact assessments. Consequently, the application of different shaking hazard model inputs can result in significantly different impacts. High-dimensional information visualisation techniques are used to study the mutual differences among different empirical intensity prediction models. We applied the Self-Organising Map (SOM) technique to project empirical prediction models onto a two-dimensional 'map' to visually compare the similarities and differences between models. The results clearly demonstrate the sensitivity of ground shaking to the selection of intensity prediction models. The effects of these sensitivities on earthquake impact assessments are investigated using a scenario event in Sumatra region, Indonesia.
Product Type
nonGeographicDataset
eCat Id
74344
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Keywords
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- External PublicationAbstract
- ( Theme )
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- earthquakes
- Australian and New Zealand Standard Research Classification (ANZSRC)
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- Earth Sciences
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- Published_Internal
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2012-01-01T00:00:00
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