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A linked geomorphological and geophysical modelling methodology applied to an active landslide

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A linked geomorphological and geophysical modelling methodology applied to an active landslide. / Boyd, Jimmy; Chambers, Jonathan; Wilkinson, Paul; Peppa, Maria; Kirkham, Matthew; Jones, Lee; Watlet, Arnaud ; Swift, Russel; Meldrum, Philip; Uhlemann, Sebastian; Binley, Andrew.

In: Landslides , 05.05.2021.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Boyd, J, Chambers, J, Wilkinson, P, Peppa, M, Kirkham, M, Jones, L, Watlet, A, Swift, R, Meldrum, P, Uhlemann, S & Binley, A 2021, 'A linked geomorphological and geophysical modelling methodology applied to an active landslide', Landslides . https://doi.org/10.1007/s10346-021-01666-w

APA

Boyd, J., Chambers, J., Wilkinson, P., Peppa, M., Kirkham, M., Jones, L., Watlet, A., Swift, R., Meldrum, P., Uhlemann, S., & Binley, A. (2021). A linked geomorphological and geophysical modelling methodology applied to an active landslide. Landslides . https://doi.org/10.1007/s10346-021-01666-w

Vancouver

Author

Boyd, Jimmy ; Chambers, Jonathan ; Wilkinson, Paul ; Peppa, Maria ; Kirkham, Matthew ; Jones, Lee ; Watlet, Arnaud ; Swift, Russel ; Meldrum, Philip ; Uhlemann, Sebastian ; Binley, Andrew. / A linked geomorphological and geophysical modelling methodology applied to an active landslide. In: Landslides . 2021.

Bibtex

@article{abf957593e0a4b4a9bf510d1da475427,
title = "A linked geomorphological and geophysical modelling methodology applied to an active landslide",
abstract = "Moisture-induced landslides are a global geohazard; mitigating the risk posed by landslides requires an understanding of the hydrological and geological conditions present within a given slope. Recently, numerous geophysical studies have been attempted to characterise slow moving landslides, with an emphasis on developing geoelectrical methods as a hydrological monitoring tool. However, landslides pose specific challenges for processing geoelectrical data in long-term monitoring contexts as the sensor arrays can move with slope movements. Here we present an approach for processing long-term (over 8 years) geoelectrical monitoring data from an active slow moving landslide, Hollin Hill, situated in Lias rocks in the southern Howardian Hills, UK. These slope movements distorted the initial setup of the monitoring array and need to be incorporated into a time-lapse resistivity processing workflow to avoid imaging artefacts. We retrospectively sourced seven digital terrain models to inform the topography of our imaging volumes, which were acquired by either Unmanned Aerial Vehicle (UAV)-based photogrammetry or terrestrial laser ranging systems. An irregular grid of wooden pegs was periodically surveyed with a global position system, from which distortions to the terrain model and electrode positions can be modelled with thin plate splines. In order to effectively model the time-series electrical resistivity images, a baseline constraint is applied within the inversion scheme; the result of the study is a time-lapse series of resistivity volumes which also incorporate slope movements. The workflow presented here should be adaptable for other studies focused on geophysical/geotechnical monitoring of unstable slopes. ",
keywords = "Geophysics, Landslide",
author = "Jimmy Boyd and Jonathan Chambers and Paul Wilkinson and Maria Peppa and Matthew Kirkham and Lee Jones and Arnaud Watlet and Russel Swift and Philip Meldrum and Sebastian Uhlemann and Andrew Binley",
year = "2021",
month = may,
day = "5",
doi = "10.1007/s10346-021-01666-w",
language = "English",
journal = "Landslides ",
issn = "1612-5118",
publisher = "Springer",

}

RIS

TY - JOUR

T1 - A linked geomorphological and geophysical modelling methodology applied to an active landslide

AU - Boyd, Jimmy

AU - Chambers, Jonathan

AU - Wilkinson, Paul

AU - Peppa, Maria

AU - Kirkham, Matthew

AU - Jones, Lee

AU - Watlet, Arnaud

AU - Swift, Russel

AU - Meldrum, Philip

AU - Uhlemann, Sebastian

AU - Binley, Andrew

PY - 2021/5/5

Y1 - 2021/5/5

N2 - Moisture-induced landslides are a global geohazard; mitigating the risk posed by landslides requires an understanding of the hydrological and geological conditions present within a given slope. Recently, numerous geophysical studies have been attempted to characterise slow moving landslides, with an emphasis on developing geoelectrical methods as a hydrological monitoring tool. However, landslides pose specific challenges for processing geoelectrical data in long-term monitoring contexts as the sensor arrays can move with slope movements. Here we present an approach for processing long-term (over 8 years) geoelectrical monitoring data from an active slow moving landslide, Hollin Hill, situated in Lias rocks in the southern Howardian Hills, UK. These slope movements distorted the initial setup of the monitoring array and need to be incorporated into a time-lapse resistivity processing workflow to avoid imaging artefacts. We retrospectively sourced seven digital terrain models to inform the topography of our imaging volumes, which were acquired by either Unmanned Aerial Vehicle (UAV)-based photogrammetry or terrestrial laser ranging systems. An irregular grid of wooden pegs was periodically surveyed with a global position system, from which distortions to the terrain model and electrode positions can be modelled with thin plate splines. In order to effectively model the time-series electrical resistivity images, a baseline constraint is applied within the inversion scheme; the result of the study is a time-lapse series of resistivity volumes which also incorporate slope movements. The workflow presented here should be adaptable for other studies focused on geophysical/geotechnical monitoring of unstable slopes.

AB - Moisture-induced landslides are a global geohazard; mitigating the risk posed by landslides requires an understanding of the hydrological and geological conditions present within a given slope. Recently, numerous geophysical studies have been attempted to characterise slow moving landslides, with an emphasis on developing geoelectrical methods as a hydrological monitoring tool. However, landslides pose specific challenges for processing geoelectrical data in long-term monitoring contexts as the sensor arrays can move with slope movements. Here we present an approach for processing long-term (over 8 years) geoelectrical monitoring data from an active slow moving landslide, Hollin Hill, situated in Lias rocks in the southern Howardian Hills, UK. These slope movements distorted the initial setup of the monitoring array and need to be incorporated into a time-lapse resistivity processing workflow to avoid imaging artefacts. We retrospectively sourced seven digital terrain models to inform the topography of our imaging volumes, which were acquired by either Unmanned Aerial Vehicle (UAV)-based photogrammetry or terrestrial laser ranging systems. An irregular grid of wooden pegs was periodically surveyed with a global position system, from which distortions to the terrain model and electrode positions can be modelled with thin plate splines. In order to effectively model the time-series electrical resistivity images, a baseline constraint is applied within the inversion scheme; the result of the study is a time-lapse series of resistivity volumes which also incorporate slope movements. The workflow presented here should be adaptable for other studies focused on geophysical/geotechnical monitoring of unstable slopes.

KW - Geophysics

KW - Landslide

U2 - 10.1007/s10346-021-01666-w

DO - 10.1007/s10346-021-01666-w

M3 - Journal article

JO - Landslides

JF - Landslides

SN - 1612-5118

ER -