Integration of Heterogeneous Data for Multiscale Regional Liquefaction Settlement Mapping

Qiushi Chen, Chaofeng Wang, Zhengshou Lai, C. Hsein Juang

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


Earthquake-induced soil liquefaction is a geological hazard that can lead to infrastructure damages and economic losses during an earthquake. Accurate assessment and mapping of regional liquefaction require not only models for evaluating liquefaction and its spatial extent but also means to account for heterogeneous sources of information at different scales. In this work, a novel framework is presented to integrate geotechnical data (e.g., cone penetration test data) at the site-specific scale and geologic data (e.g., surficial geologic information) at the regional scale into regional liquefaction settlement mapping. The framework builds on a multiscale random field model to account for the spatial variability of quantities of interest across scales. The conditional sequential simulation algorithm is implemented to integrate geotechnical and geologic data into the random field model. The developed framework is applied to an earthquake-prone area for mapping of liquefaction-induced settlement. The generated liquefaction hazard maps are validated against existing knowledge and liquefaction observations of the region.

Original languageEnglish
Pages (from-to)667-676
Number of pages10
JournalGeotechnical Special Publication
Issue numberGSP 291
StatePublished - 2018
Event5th Geotechnical Earthquake Engineering and Soil Dynamics Conference: Seismic Hazard Analysis, Earthquake Ground Motions, and Regional-Scale Assessment, GEESDV 2018 - Austin, United States
Duration: 10 Jun 201813 Jun 2018


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