Land reflection seismic, hydrogeological and magnetic study of an area prone to quick-clay landslides in southwest Sweden

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Creator/Principal investigator(s):

Silvia Salas Romero - Uppsala universitet, Geosciences

Alireza Malehmir - Uppsala universitet, Geosciences

Ian Snowball - Uppsala universitet, Geosciences

Benoît Dessirier - Uppsala universitet, Geosciences

Description:

Quick-clay landslides are common geohazards in Nordic countries and Canada. The presence of potential quick clays is confirmed using geotechnical investigations, but near-surface geophysical methods, such as seismic and resistivity surveys, can also help identifying coarse-grained materials associated to the development of quick clays. We present the results of four reflection seismic profiles next to the Göta River in Sweden, along which many quick-clay landslide scars exist. An extensive coarse-grained layer exists in the sedimentary sequence and is interpreted and modeled in a regional context. Hydrological modeling of the coarse-grained layer is performed. Magnetic data are also studied within this investigation.

Subject area:

NATURAL ENVIRONMENT (CESSDA Topic Classification)
Earth and Related Environmental Sciences (The Swedish standard of fields of research 2011)
Geoscientific Information (INSPIRE topic categories)

Map:

Responsible department/unit:

Uppsala University, Department of Earth Sciences

Creator/Principal investigator(s):

Silvia Salas Romero - Uppsala universitet, Geosciences

Alireza Malehmir - Uppsala universitet, Geosciences

Ian Snowball - Uppsala universitet, Geosciences

Benoît Dessirier - Uppsala universitet, Geosciences

Identifiers:

SND-ID: SND 1079

Description:

Quick-clay landslides are common geohazards in Nordic countries and Canada. The presence of potential quick clays is confirmed using geotechnical investigations, but near-surface geophysical methods, such as seismic and resistivity surveys, can also help identifying coarse-grained materials associated to the development of quick clays. We present the results of four reflection seismic profiles next to the Göta River in Sweden, along which many quick-clay landslide scars exist. An extensive coarse-grained layer exists in the sedimentary sequence and is interpreted and modeled in a regional context. Hydrological modeling of the coarse-grained layer is performed. Magnetic data are also studied within this investigation.

Language:

English

Geographic spread:

Geographic location: Sweden, Västra Götaland County

Subject area:

NATURAL ENVIRONMENT (CESSDA Topic Classification)
Earth and Related Environmental Sciences (The Swedish standard of fields of research 2011)
Geoscientific Information (INSPIRE topic categories)

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Publications

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Salas-Romero, S., Malehmir, A., Snowball, I., & Dessirier, B., Subsurface characterization of a quick-clay vulnerable area using near-surface geophysics and hydrological modelling, accepted in Solid Earth, 2019

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Version 1.0:

Dataset 1

Land reflection seismic, hydrogeological and magnetic study of an area prone to quick-clay landslides in southwest Sweden

Suggested citation:

Silvia Salas Romero, Alireza Malehmir, Ian Snowball, Benoît Dessirier. Uppsala University, Department of Earth Sciences (2019). Land reflection seismic, hydrogeological and magnetic study of an area prone to quick-clay landslides in southwest Sweden. Swedish National Data Service. Version 1.0. https://doi.org/10.5878/acbv-h350

Creator/Principal investigator(s):

Silvia Salas Romero - Uppsala universitet, Geosciences

Alireza Malehmir - Uppsala universitet, Geosciences

Ian Snowball - Uppsala universitet, Geosciences

Benoît Dessirier - Uppsala universitet, Geosciences

Description:

Four reflection seismic profiles collected in 2013 (line 5 has two parts, cabled geophones and wireless stations).

Data format / data structure:

Other

Time period(s) investigated:

2018-01-01 — 2018-03-05

Version 1.0:

Dataset 2

Modeled subsurface interfaces of an area prone to quick-clay landslides in southwest Sweden

Suggested citation:

Silvia Salas Romero, Alireza Malehmir, Ian Snowball, Benoît Dessirier. Uppsala University, Department of Earth Sciences (2019). Modeled subsurface interfaces of an area prone to quick-clay landslides in southwest Sweden. Swedish National Data Service. Version 1.0. https://doi.org/10.5878/md19-qw71

Creator/Principal investigator(s):

Silvia Salas Romero - Uppsala universitet, Geosciences

Alireza Malehmir - Uppsala universitet, Geosciences

Ian Snowball - Uppsala universitet, Geosciences

Benoît Dessirier - Uppsala universitet, Geosciences

Description:

Modeled interfaces (xyz).

Data format / data structure:

Numeric

Time period(s) investigated:

2018-01-01 — 2018-03-05

Version 2.0:

2019-09-09 doi:10.5878/r1kq-0f98

Data corrected

Version 1.0:

Dataset 3

Hydrogeological modeling of an area prone to quick-clay landslides in southwest Sweden

Suggested citation:

Silvia Salas Romero, Alireza Malehmir, Ian Snowball, Benoît Dessirier. Uppsala University, Department of Earth Sciences (2019). Hydrogeological modeling of an area prone to quick-clay landslides in southwest Sweden. Swedish National Data Service. Version 2.0. https://doi.org/10.5878/r1kq-0f98

Creator/Principal investigator(s):

Silvia Salas Romero - Uppsala universitet, Geosciences

Alireza Malehmir - Uppsala universitet, Geosciences

Ian Snowball - Uppsala universitet, Geosciences

Benoît Dessirier - Uppsala universitet, Geosciences

Data format / data structure:

Numeric

Time period(s) investigated:

2018-01-01 — 2018-03-05

Version 1.0:

Dataset 4

Magnetic study of an area prone to quick-clay landslides in southwest Sweden

Suggested citation:

Silvia Salas Romero, Alireza Malehmir, Ian Snowball, Benoît Dessirier. Uppsala University, Department of Earth Sciences (2019). Magnetic study of an area prone to quick-clay landslides in southwest Sweden. Swedish National Data Service. Version 1.0. https://doi.org/10.5878/a8xn-fc97

Creator/Principal investigator(s):

Silvia Salas Romero - Uppsala universitet, Geosciences

Alireza Malehmir - Uppsala universitet, Geosciences

Ian Snowball - Uppsala universitet, Geosciences

Benoît Dessirier - Uppsala universitet, Geosciences

Data format / data structure:

Numeric

Time period(s) investigated:

2018-01-01 — 2018-03-05

Published: 2019-01-18
Last updated: 2020-01-22