TY - JOUR A1 - Angelopoulos, Michael A1 - Westermann, Sebastian A1 - Overduin, Pier Paul A1 - Faguet, Alexey A1 - Olenchenko, Vladimir A1 - Grosse, Guido A1 - Grigoriev, Mikhail N. T1 - Heat and salt flow in subsea permafrost modeled with CryoGRID2 JF - Journal of geophysical research : Earth surface N2 - Thawing of subsea permafrost can impact offshore infrastructure, affect coastal erosion, and release permafrost organic matter. Thawing is usually modeled as the result of heat transfer, although salt diffusion may play an important role in marine settings. To better quantify nearshore subsea permafrost thawing, we applied the CryoGRID2 heat diffusion model and coupled it to a salt diffusion model. We simulated coastline retreat and subsea permafrost evolution as it develops through successive stages of a thawing sequence at the Bykovsky Peninsula, Siberia. Sensitivity analyses for seawater salinity were performed to compare the results for the Bykovsky Peninsula with those of typical Arctic seawater. For the Bykovsky Peninsula, the modeled ice-bearing permafrost table (IBPT) for ice-rich sand and an erosion rate of 0.25m/year was 16.7 m below the seabed 350m offshore. The model outputs were compared to the IBPT depth estimated from coastline retreat and electrical resistivity surveys perpendicular to and crossing the shoreline of the Bykovsky Peninsula. The interpreted geoelectric data suggest that the IBPT dipped to 15-20m below the seabed at 350m offshore. Both results suggest that cold saline water forms beneath grounded ice and floating sea ice in shallow water, causing cryotic benthic temperatures. The freezing point depression produced by salt diffusion can delay or prevent ice formation in the sediment and enhance the IBPT degradation rate. Therefore, salt diffusion may facilitate the release of greenhouse gasses to the atmosphere and considerably affect the design of offshore and coastal infrastructure in subsea permafrost areas. KW - subsea permafrost KW - salt diffusion KW - CryoGRID KW - Lena Delta KW - Bykovsky Peninsula KW - electrical resistivity Y1 - 2019 U6 - https://doi.org/10.1029/2018JF004823 SN - 2169-9003 SN - 2169-9011 VL - 124 IS - 4 SP - 920 EP - 937 PB - American Geophysical Union CY - Hoboken ER - TY - JOUR A1 - Lück, Erika A1 - Rühlmann, Jörg A1 - Kirchmann, Holger T1 - Properties of soils from the Swedish long-term fertility experiments VI. Mapping soil electrical conductivity with different geophysical methods JF - Acta agriculturae Scandinavica : Section B, Soil and plant science N2 - Swedish long-term soil fertility experiments were used to investigate the effect of texture and fertilization regime on soil electrical conductivity. In one geophysical approach, fields were mapped to characterize the horizontal variability in apparent electrical conductivity down to 1.5 m soil depth using an electromagnetic induction meter (EM38 device). The data obtained were geo-referenced by dGPS. The other approach consisted of measuring the vertical variability in electrical conductivity along transects using a multi-electrode apparatus for electrical resistivity tomography (GeoTom RES/IP device) down to 2 m depth. Geophysical field work was complemented by soil analyses. The results showed that despite 40 years of different fertilization regimes, treatments had no significant effects on the apparent electrical conductivity. Instead, the comparison of sites revealed high and low conductivity soils, with gradual differences explained by soil texture. A significant, linear relationship found between apparent electrical conductivity and soil clay content explained 80% of the variability measured. In terms of soil depth, both low and high electrical conductivity values were measured. Abrupt changes in electrical conductivity within a field revealed the presence of 'deviating areas'. Higher values corresponded well with layers with a high clay content, while local inclusions of coarse-textured materials caused a high variability in conductivity in some fields. The geophysical methods tested provided useful information on the variability in soil texture at the experimental sites. The use of spatial EC variability as a co-variable in statistical analysis could be a complementary tool in the evaluation of experimental results. KW - Conductivity depth model KW - conductivity map KW - electrical resistivity KW - soil heterogeneity Y1 - 2011 U6 - https://doi.org/10.1080/09064710.2010.502124 SN - 0906-4710 VL - 61 IS - 5 SP - 438 EP - 447 PB - Taylor & Francis Group CY - Oslo ER -