Liquefaction Risk Calculator
Estimate soil liquefaction probability based on earthquake parameters and ground conditions.
AssessmentUnderstanding Soil Liquefaction in Earthquakes
Soil liquefaction occurs when saturated, loose, granular soil loses its strength and stiffness during earthquake shaking, causing it to behave like a liquid rather than a solid. When seismic waves pass through water-saturated sand or silt, they increase the water pressure between soil grains (pore water pressure). If this pressure rises high enough to equal the weight of the overlying soil, the grains lose contact with each other and the soil temporarily flows like a viscous fluid. This phenomenon can cause buildings to sink, tilt, or collapse; underground structures like pipes and tanks to float to the surface; and slopes to fail in lateral spreading.
The Standard Penetration Test (SPT) N-value is a key field measurement used to assess liquefaction susceptibility. It measures the number of hammer blows required to drive a sampling tube 30 cm into the ground — higher N-values indicate denser, more resistant soil. Soils with SPT N-values below 15 in saturated conditions are generally considered susceptible to liquefaction. The water table depth is equally important: soil must be saturated for liquefaction to occur, so areas with shallow water tables (less than 5 meters) are at highest risk. Reclaimed land and coastal fill are particularly vulnerable, as demonstrated in the 1964 Niigata and 2011 Christchurch earthquakes.
Key Factors in Liquefaction Risk
- Soil type: Loose sands and silty sands are most susceptible. Clays and gravels generally resist liquefaction, though non-plastic silts can liquefy under strong shaking.
- Water table depth: Shallower water tables (0–5 m) dramatically increase risk. Sites with water tables deeper than 15 m are generally safe from liquefaction.
- Shaking intensity and duration: Liquefaction typically requires sustained shaking (several seconds) at accelerations above 0.1g. Longer-duration earthquakes increase risk.
- Historical precedent: Areas that have liquefied in past earthquakes are very likely to liquefy again, as the geological conditions that cause liquefaction persist.
Common Uses
- Preliminary assessment of liquefaction potential for property evaluation in earthquake-prone coastal areas.
- Understanding which soil conditions and earthquake parameters contribute to liquefaction.
- Evaluating the risk for sites on fill, reclaimed land, or near rivers and coastlines.
- Supporting educational discussions about geotechnical earthquake engineering.
How to Use
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1
Enter Soil and Site Data
Input your site's soil type (sand, silt, clay, fill), water table depth, and layer thickness. Sandy soils saturated with water at depths less than 10 meters carry the highest liquefaction potential.
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2
Specify the Earthquake Scenario
Enter the design earthquake magnitude (Mw) and peak ground acceleration (PGA) for your site. These can be obtained from the USGS seismic hazard map or from a site-specific hazard analysis at your return period of interest.
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3
Interpret the Liquefaction Potential Index
Review your Liquefaction Potential Index (LPI) value and qualitative risk category. LPI < 5 is considered low risk; LPI 5–15 moderate; LPI > 15 high. The tool follows the Iwasaki (1982) framework widely used in Japanese and US engineering practice.
About
Soil liquefaction has been recognized as a major earthquake hazard since the 1964 Niigata and Alaska earthquakes, which produced dramatic documentary evidence of ground failure. The modern analytical framework for liquefaction assessment was developed largely by H. Bolton Seed and colleagues at UC Berkeley in the 1970s–80s, based on Standard Penetration Test (SPT) blow counts as a proxy for soil density and resistance. The Seed-Idriss Simplified Procedure, subsequently updated by Youd et al. (2001) and Idriss and Boulanger (2008), remains the standard for routine engineering practice and forms the basis of most liquefaction screening tools.
Liquefaction assessment methods fall into two categories. Deterministic methods compute a factor of safety for each soil layer using measured in-situ properties (SPT N-value, CPT qc, shear wave velocity Vs) and the earthquake loading expressed as the Cyclic Stress Ratio. Probabilistic methods (Cetin et al., 2004; Boulanger and Idriss, 2014) incorporate uncertainty in both the demand and capacity parameters to produce probability-of-liquefaction values rather than binary pass/fail outcomes. Probabilistic approaches are increasingly favored in performance-based earthquake engineering (PBEE) frameworks, where risk is expressed as expected losses over the lifetime of a facility.
The 2010–2011 Canterbury earthquake sequence in New Zealand produced an unprecedented dataset for liquefaction research. The earthquakes affected Christchurch—a city founded on Holocene fluvial sediments—causing liquefaction across 80% of the residential Red Zone, the area ultimately purchased by the government for permanent managed retreat. GNS Science and the University of Canterbury deployed a multi-technique investigation including aerial photography, LiDAR surveys, and thousands of CPT soundings to map spatial variability in liquefaction manifestation at block-by-block resolution. The resulting Christchurch Liquefaction Vulnerability dataset is now one of the most comprehensive post-earthquake geotechnical records ever assembled and has driven significant advances in simplified liquefaction assessment procedures.