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)

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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

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

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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Dataset 1

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

Citation

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

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

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Dataset 2

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

Citation

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

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
https://doi.org/10.5878/r1kq-0f98

Data corrected

Version 1.0

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Dataset 3

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

Citation

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

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

Download citation

Dataset 4

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

Citation

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

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