A Geospatial Approach for Mapping the Earthquake-Induced Liquefaction Risk at the European Scale
2. Overview of the Methodology
3. Mega-Zonation of the Earthquake-Induced Liquefaction Risk in Continental Europe
3.1. Mapping the Probability of Liquefaction by Applying A European Prediction Model
- The weighted-mean shear-wave velocity in the top 30 m (VS30), which was adopted as a proxy of soil stiffness since soft sandy soils are more susceptible to liquefaction (they are looser). The US Geological Survey (https://earthquake.usgs.gov/data/vs30/) provided the global topographic-slope based VS30 map and such a map was adopted for Europe;
- The weighted-magnitude peak ground acceleration (PGAm), which was computed as
3.2. Exposure Model for Europe
- very low: Pd < 400 inhab./km2;
- low: 400 ≤ Pd 800 inhab./km2;
- medium: 800 ≤ Pd < 2000 inhab./km2;
- high: 2000 ≤ Pd < 5000 inhab./km2;
- very high: Pd ≥ 5000 inhab./km2.
3.3. Assessment of the Liquefaction Risk at the European Scale by Using the AHP Technique
3.4. European Charts for Earthquake-Induced Liquefaction Risk
4. Discussion and Concluding Remarks
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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|7||very strongly dominant|
|2, 4, 6, 8||intermediate values|
|Reciprocals||for inverse judgements|
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Bozzoni, F.; Bonì, R.; Conca, D.; Meisina, C.; Lai, C.G.; Zuccolo, E. A Geospatial Approach for Mapping the Earthquake-Induced Liquefaction Risk at the European Scale. Geosciences 2021, 11, 32. https://doi.org/10.3390/geosciences11010032
Bozzoni F, Bonì R, Conca D, Meisina C, Lai CG, Zuccolo E. A Geospatial Approach for Mapping the Earthquake-Induced Liquefaction Risk at the European Scale. Geosciences. 2021; 11(1):32. https://doi.org/10.3390/geosciences11010032Chicago/Turabian Style
Bozzoni, Francesca, Roberta Bonì, Daniele Conca, Claudia Meisina, Carlo G. Lai, and Elisa Zuccolo. 2021. "A Geospatial Approach for Mapping the Earthquake-Induced Liquefaction Risk at the European Scale" Geosciences 11, no. 1: 32. https://doi.org/10.3390/geosciences11010032