Global liquefaction susceptibility map

<p>This is a global liquefaction susceptibility map (EPSG:4326) based on the geospatial liquefaction prediction models of Zhu et al.^[1]&nbsp;.</p> <p>The coastal model was applied for areas &lt;20km from the coast. The inland model was applied elsewhere. Refer to Zhu et al. ^[1]&nbsp;in the first instance for further methodology and descriptions.</p> <p>Input data used in part, or their entirety may comprise (amongst others):</p> <ul> <li>rivers ^[2-4]</li> <li>depth to ground water&nbsp;^[5]</li> <li>precipitation&nbsp;^[6]&nbsp;</li> <li>land ^[7]</li> <li><em>V_s30&nbsp;</em>^[8]</li> </ul> <p>Cell values are based on Zhu et al.&nbsp;^[1]&nbsp;susceptibility classes where:&nbsp;</p> <ol> <li>very low,</li> <li>low,</li> <li>moderate,</li> <li>high,</li> <li>very high</li> </ol> <p>0 refers to no data -- typically water bodies.</p> <p>While this data may be&nbsp;useful as preliminary information for regional-scale planning, a PGV intensity term is required for probability maps. Again, see Zhu et al. ^[1] for a discussion here.</p> <p>An application using this dataset is seen in Koks et al. ^[9].</p> <p>&nbsp;</p> <p>^[1]&nbsp;<a href="https://doi.org/10.1785/0120160198">Zhu et al. (2017) An updated geospatial liquefaction model for global application. <em>Bull. Seismol. Soc. Am.</em> 107, 1365&ndash;1385.</a></p> <p>^[2] <a href="http://hydrosheds.cr.usgs.gov/">Lehner et al. (2006)&nbsp;HydroSHEDS: Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales, Version 1.0.</a></p> <p>^[3]&nbsp;<a href="http://inspire-geoportal.ec.europa.eu/demos/ccm/">Vogt et al. (2008)&nbsp;CCM River and Catchment Database, version 2.1.</a></p> <p>^[4] Wessel et al. (1992) Digital Chart of the World: Inland Water.</p> <p>^[5] <a href="http://10.1126/science.1229881">Fan et al. (2013) Global patterns of groundwater table depth. <em>Science </em>(80)339, 940&ndash;943.</a></p> <p>^[6]&nbsp;<a href="https://doi.org/10.1002/joc.5086">Fick et al. (2017) WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. <em>Int. J. Climatol. </em>37, 4302&ndash;4315.</a></p> <p>^[7] <a href="http://www.soest.hawaii.edu/wessel/gshhg/">Wessel et al. (2017) LGSHHG: A Global Self-consistent, Hierarchical, High-resolution Geography Database Version 2.3.7.</a></p> <p>^[8]&nbsp;Worden et al. (2017) <em>Development of an Open-Source Hybrid Global Vs30 Model,</em> Seismological Society of America Annual Meeting, 21-23 April, Pasadena, CA.</p> <p>^[9]&nbsp;<a href="https://www.nature.com/articles/s41467-019-10442-3">Koks et al. (2019)&nbsp;A global multi-hazard risk analysis of road and railway infrastructure assets&nbsp;<em>Nature Communications</em>&nbsp;10 (2677)</a></p>