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14 results for “liquefaction”
Data pertaining to 'Can artesian groundwater and earthquake-induced aquifer leakage exacerbate the manifestation of liquefaction?'
<p>Geodatabase (ArcGIS 10.5.1), Excel files and mp4 video to accompany: </p> <p>Cox, S.C.; van Ballegooy, S.; Rutter, H.K.; Harte, D.S.; Holden, C.; Gulley, A.K.; Lacrosse, V.; Manga, M. (in press) Can artesian groundwater and earthquake-induced aquifer leakage exacerbate the manifestation of liquefaction? Engineering Geology Manuscript ENGEO 105982.</p> <p>Vast quantities of liquefaction ejecta repeatedly inundated properties during the 2010-2011 Canterbury earthquake sequence in New Zealand, resulting in differential ground surface subsidence and significant damage to buildings and urban infrastructure. There are strong spatial correlations between the occurrence of ejected sediment with groundwater pressure in deep aquifers. When geotechnical testing sites are grouped according to liquefaction vulnerability indices (to control variance relating to shaking strength, water table depth, and soil profile strength), places where ‘minor’ and ‘moderate-severe’ liquefaction occurred during the Mw6.2 Christchurch earthquake had distinctly higher aquifer pressure than sites where liquefaction was not observed. Together with observations of earthquake-induced pressure changes and inferred transfer of groundwater from deep aquifers to shallower levels, an interpretation is that leakage from aquifers with artesian (above ground) pressure provided an additional driving mechanism for surface manifestation of water and sediment. It is surmised that above-ground aquifer pressures further promoted suffusion and piping along fractures, flow-pathways and liquefied horizons. The Mw6.2 Christchurch earthquake is presented as an example where leakage of artesian groundwater likely contributed to the near-surface liquefaction-induced ground damage. The process can result in underprediction of liquefaction vulnerability so needs to be considered when evaluating potential for earthquake-induced liquefaction and ground damage wherever groundwater is confined.</p>
Validation of liquefaction retrofitting techniques from geotechnical centrifuge small scale models
<p>The dataset is composed by the results of 37 dynamic geotechnical centrifuge tests performed in the frame of the project:</p> <p>H2020-DRA-2015 <strong>LIQUEFACT: </strong><em>Assessment and mitigation of Liquefaction potential across Europe: a holistic approach to protect structures/infrastructure for improved resilience to earthquake-induced Liquefaction disasters.</em></p> <p>The experiments firstly reproduced on reduced scale models the liquefaction conditions and secondly tested the effectiveness of three mitigation techniques: vertical drains, horizontal drains, induced partial saturation.</p> <p>The dataset is strictly linked to the document <strong>"DELIVERABLE D4.2 - Report on validation of retrofitting techniques from small scale models"</strong>. This document is of public access and can be downloaded from the website of the project <a href="http://www.liquefact.eu/">www.liquefact.eu</a></p> <p>The document D4.2 illustrates the testing programme, the objectives, the experimental procedures and gives the elements for the interpretation of data.</p>
Data for A multi-phase biogeochemical model for mitigating earthquake-induced liquefaction via microbially induced desaturation and calcium carbonate precipitation
<p>This data accompanies the paper published in Biogeosciences, which can be found at https://doi.org/10.5194/egusphere-2022-1419.</p>
Additional CPT's Raw Data performed by Istanbul University-Cerrahpasa in scope of LIQUEFACT project (H2020, 700748)
<p>Additional CPT's Raw Data performed by Istanbul University-Cerrahpasa in scope of LIQUEFACT project (H2020, 700748)</p>
Database of liquefaction phenomena triggered by the March 2021 Thessaly, Greece, seismic sequence
<p>This archive contains data related to the paper “Floodplain evolution and its influence on liquefaction clustering: the case study of March 2021 Thessaly, Greece, seismic sequence” by George Papathanassiou, Sotiris Valkaniotis, Athanassios Ganas, Alexandros Stampolidis, Dimitra Rapti, Riccardo Caputo.</p> <p><br> Submitted to <em>Engineering Geology, Elsevier</em></p> <p> </p> <p><strong>Liquefaction_DB_20210303</strong> contains shapefiles and spreadsheet for the mapped liquefaction phenomena<br> <strong>UAS_Liquefaction_Surveys_Larisa_EQ</strong> contains detailed geospatial data for mapped liquefaction phenomena from UAS surveys</p>
Modelling of static liquefaction of partially saturated non-cohesive soils - Supplementary Materials
<p><strong>Supplementary Material - Repository S1: Experimental data</strong></p> <p>Article title: Modelling of static liquefaction of partially saturated non-cohesive soils<br> Journal name: Applied Sciences</p> <p>Detailed data of undrained triaxial laboratory tests conducted on partially saturated samples of non-cohesive soils. <br> This spreadsheet contains values of initial parameter of each sample (saturation level, density and porosity, stress state and back pressure) and values of stresses, strains and pore pressure measured during the experiments. File includes also information about physical properties of tested soils: medium Skarpa sand and copper mining post-floating tailings OZM50.</p>
Influence of anthropogenic landscape modifications and infrastructure on the geological characteristics of liquefaction
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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.<sup>[1]</sup> .</p> <p>The coastal model was applied for areas <20km from the coast. The inland model was applied elsewhere. Refer to Zhu et al. <sup>[1]</sup> 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 <sup>[2-4]</sup></li> <li>depth to ground water <sup>[5]</sup></li> <li>precipitation <sup>[6] </sup></li> <li>land <sup>[7]</sup></li> <li><em>V<sub>s30</sub> </em><sup>[8]</sup></li> </ul> <p>Cell values are based on Zhu et al. <sup>[1]</sup> susceptibility classes where: </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 useful as preliminary information for regional-scale planning, a PGV intensity term is required for probability maps. Again, see Zhu et al. <sup>[1]</sup> for a discussion here.</p> <p>An application using this dataset is seen in Koks et al. <sup>[9]</sup>.</p> <p> </p> <p><sup>[1] </sup><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, 1365–1385.</a></p> <p><sup>[2]</sup> <a href="http://hydrosheds.cr.usgs.gov/">Lehner et al. (2006) HydroSHEDS: Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales, Version 1.0.</a></p> <p><sup>[3]</sup> <a href="http://inspire-geoportal.ec.europa.eu/demos/ccm/">Vogt et al. (2008) CCM River and Catchment Database, version 2.1.</a></p> <p><sup>[4]</sup> Wessel et al. (1992) Digital Chart of the World: Inland Water.</p> <p><sup>[5]</sup> <a href="http://10.1126/science.1229881">Fan et al. (2013) Global patterns of groundwater table depth. <em>Science </em>(80)339, 940–943.</a></p> <p><sup>[6]</sup> <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, 4302–4315.</a></p> <p><sup>[7]</sup> <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><sup>[8] </sup>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><sup>[9]</sup> <a href="https://www.nature.com/articles/s41467-019-10442-3">Koks et al. (2019) A global multi-hazard risk analysis of road and railway infrastructure assets <em>Nature Communications</em> 10 (2677)</a></p>
Quantitative Assessments of the Liquefaction Hazard of Soils considering Possible Strong Earthquakes in Seismically Active Regions of Russia
<p>Initial data for RESEARCH ARTICLE "Quantitative Assessments of the Liquefaction Hazard of Soils considering Possible Strong Earthquakes in Seismically Active Regions of Russia "</p>
Generation of Current-wave-supported Sediment Gravity Flow Promoted by Wave-induced Liquefaction on an Abandoned Estuary Delta
<p>This dataset includes sediment concentrations,velocities, and residual pore pressure data measured at two sites in the abandoned Yellow River Delta of the North Yellow Sea, China.</p>
Dataset for Journal Paper - Liquefaction assessment in unsaturated soils
<p>This is a dataset for the journal paper "Liquefaction assessment in unsaturated soils". The related article has been published in ASCE Journal of Geotechnical and Geoenvironmental Engineering. DOI: <a href="https://doi.org/10.1061/(ASCE)GT.1943-5606.0002851">10.1061/(ASCE)GT.1943-5606.0002851</a></p>
GIS platform including data for liquefaction hazard assessment in Europe
<p>GIS platform set-up within WP2 (Task 2.2) to include data to perform the study of liquefaction macrozonation in Europe. In particular, the geological, hydrogeological and, seismological information collected at European scale and the derived products within a GIS framework</p>
GIS platform including data for liquefaction hazard assessment in Europe
<p>GIS platform set-up within WP2 (Task 2.2) to include data to perform the study of liquefaction macrozonation in Europe. In particular, the geological, hydrogeological and, seismological information collected at European scale and the derived products within a GIS framework</p>
Transcriptome sequencing to unravel the molecular mechanisms underlying the cuticle liquefaction of Antheraea pernyi following Antheraea pernyi nucleopolyhedrovirus challenge
GEO Series GSE125821. Antheraea pernyi. 6 samples. Type: Expression profiling by high throughput sequencing.
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