Norwegian Geotechnical Institute (NGI) Digital Archive
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Hydrous Regions of the Mantle Transition Zone Lie Beneath Areas of Continental Intraplate Volcanism
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Basic Equations and Numerical Methods in MoT-Voellmy
Full text linkNorges vassdrags- og energidirektorat (NVE
Thermal design of quadratic segmental precast concrete driven energy piles
Full text linkacceptedVersio
Crustal Heterogeneity Onshore Central Spitsbergen: Insights From New Gravity and Vintage Geophysical Data
Full text linkGravity data provide constraints on lateral subsurface density variations and thus provide crucial insights into the geological evolution of the region. Previously, gravity data from the Norwegian Arctic archipelago of Svalbard comprised an onshore regional gravity database with coarse station spacing of 2–20 km, offshore gravity profiles acquired in some fjords, airborne gravity, and satellite altimetry. The sparse regional point-based onshore coverage hampered the direct integration of gravity data with seismic profiles acquired onshore Svalbard in the late 1980s and early 1990s. In April 2022, we acquired gravity data at 260 new stations along seven profiles from western to eastern Spitsbergen, with a cumulative length of 329 km. The profiles were acquired directly along selected seismic profiles and provide much closer station spacing (0.5–2 km) compared to the regional inland grid (2–20 km) acquired in the late 1980s (total number of onshore stations: 1,037). Having processed the data, we compared the first-order density trends of our new data with the legacy regional grid. The new gravity data are consistent with the regional data, imaging a gravity low in the western part of the area underlying a foreland basin and a gravity high in the northwestern part of the area likely associated with a basement high or denser basement. We compare the new and vintage gravity using maps and profiles, linked to the known major tectonic features such as major basinal axes and fault zones, as well as other geophysical data sets including seismics and magneticspublishedVersio
Exploiting Molecular Ions for Screening Hydrophobic Contaminants in Sediments Using Gas Chromatography-Atmospheric Pressure Chemical Ionization-Ion Mobility-Mass Spectrometry
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RAMMS::Extended sensitivity analysis
Full text linkRAMMS::Extended is an avalanche flow dynamics model which simulates both the avalanche dense core and powder snow cloud (suspension layer). The model has been developed by the WSL Institute for Snow and Avalanche Research SLF and, subsequently, by RAMMS AG, a spin-off from the SLF. Its validation and calibration are predominantly based on observations of avalanches from Vallée de la Sionne, a large-scale avalanche test site in Switzerland, and on a series of less well documented events (e.g. Oberschmid et al., 2024). As of early 2025, RAMMS::Extended is still in its beta phase and not yet commercially available at the time of the testing presented here. However, it is already used in Norway by consultancies and government agencies for avalanche hazard mitigation. While a sensitivity analysis for the model has been carried out based on a Swiss reference case study (Glaus et al., 2023), the model’s behaviour and performance for Norwegian climate and snow cover conditions has not been validated. In this technical note we set out to perform some sensitivity analysis of RAMMS::Extended using observations from a well-documented Norwegian avalanche event as a reference for the simulation results.NVE (Norges vassdrags- og energidirektorat)publishedVersio
