2017
DOI: 10.1007/978-3-319-56487-6_43
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The Norwegian National Database for Ground Investigations (NADAG): A Tool to Assist in Landslide Hazard Zonation and Other Quick-Clay Related Issues

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Cited by 3 publications
(2 citation statements)
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“…Therefore, design offices usually spend significant time and resources to contact various public and private companies to gather as much existing data as possible at the beginning of the planning phase for large tunnel projects. Norway's National Database for Ground Investigations (NADAG) [9], launched in 2016 by the Norwegian Geological Survey (NGU), is the first nationwide web-enabled open database that archives and distributes all types of ground investigations in Norway. The NADAG database contains many gaps, and raw data are usually unavailable to ensure the quality of geotechnical interpretations [10].…”
Section: Live Analysis Of Grouting Datamentioning
confidence: 99%
“…Therefore, design offices usually spend significant time and resources to contact various public and private companies to gather as much existing data as possible at the beginning of the planning phase for large tunnel projects. Norway's National Database for Ground Investigations (NADAG) [9], launched in 2016 by the Norwegian Geological Survey (NGU), is the first nationwide web-enabled open database that archives and distributes all types of ground investigations in Norway. The NADAG database contains many gaps, and raw data are usually unavailable to ensure the quality of geotechnical interpretations [10].…”
Section: Live Analysis Of Grouting Datamentioning
confidence: 99%
“…Such historical geotechnical data are most often useful for getting basic information on the underground geology and its properties, and access to these older surveys and engineering project reports is essential. As an example, the National Database for Basic Underground Surveys (NADAG) Nor and NVE (Solberg et al 2017). Other actors have also joined useful input along the way in development, and Statsbygg was the first to provide a nationwide dataset.…”
Section: Accepted Manuscriptmentioning
confidence: 99%