Global Liquefaction Susceptibility Map Based on Zhu et al. Models

A global map of soil liquefaction susceptibility, created by Conrad Zorn of the University of Oxford using the geospatial prediction models of Zhu et al. (2017). The dataset applies separate coastal and inland models and classifies susceptibility into five levels from very low to very high. Input data for the models includes features such as river networks, groundwater depth, precipitation, land data, and Vs30 shear-wave velocity.

Use Cases

• Regional-scale hazard planning based on global liquefaction susceptibility classes.
• Infrastructure risk analysis for roads and railways, as demonstrated in the application by Koks et al. (2019).
• Model validation and comparison using the susceptibility classes derived from multiple geospatial input features.

Strengths

• Provides a global coverage (EPSG:4326) for liquefaction susceptibility.
• Applies distinct, peer-reviewed models for coastal (<20km) and inland areas.
• Classifies susceptibility into five defined levels (very low, low, moderate, high, very high).

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Oxford, based on models from Zhu et al. (2017).

Collection Method

Derived by applying geospatial liquefaction prediction models to global input datasets.

Geography

Global