Evaluation and modification of geospatial liquefaction models using land damage observational data from the 2010–2011 Canterbury Earthquake Sequence
| Autor: | Amelia Lin, Jason Motha, Brendon Bradley, Liam Wotherspoon |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Geospatial analysis
Receiver operating characteristic 0211 other engineering and technologies Liquefaction Geology 02 engineering and technology 010502 geochemistry & geophysics Geotechnical Engineering and Engineering Geology computer.software_genre 01 natural sciences Hazard Sequence (geology) Region specific Environmental science Observational study Scale (map) Cartography computer 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | Engineering Geology. 287:106099 |
| ISSN: | 0013-7952 |
| Popis: | This paper evaluates existing geospatial liquefaction models using the observed land performance across four events of the Canterbury Earthquake Sequence and analyses the influence of region specific input variables on the models' potential to predict liquefaction manifestation. The aggregated performance for each event is assessed using receiver operating characteristic (ROC) analysis and the liquefaction spatial extent (LSE). The assessment results in high ROC performance and shows that the models are able to capture the areas of the most severe liquefaction manifestation observed following each earthquake. Replacing the input variables for distance to closest river, time averaged shear wave velocity over the upper 30 m (Vs30) and water table depth with New Zealand specific datasets does not significantly impact the outcomes of the ROC analysis across the study areas. However, the improved spatial accuracy of the LSE maps based on these specific datasets supports their use, especially for regional or local hazard assessments, and demonstrates the potential for further development of the models. The findings of this study provide an improved understanding of the performance of geospatial liquefaction models and their ability to identify exposed areas for regional and large scale hazard assessments. |
| Databáze: | OpenAIRE |
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