3D ground model development for an active landslide in Lias mudrocks using geophysical, remote sensing and geotechnical methods

Merritt, A.J.; Chambers, J.E.; Murphy, W.; Wilkinson, P.B.; West, L.J.; Gunn, D.A.; Meldrum, P.I.; Kirkham, M.; Dixon, N.. 2014 3D ground model development for an active landslide in Lias mudrocks using geophysical, remote sensing and geotechnical methods. Landslides, 11 (4). 537-550. https://doi.org/10.1007/s10346-013-0409-1

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Official URL: http://dx.doi.org/10.1007/s10346-013-0409-1

Abstract/Summary

A ground model of an active and complex landslide system in instability prone Lias mudrocks of North Yorkshire, UK is developed through an integrated approach, utilising geophysical, geotechnical and remote sensing investigative methods. Surface geomorphology is mapped and interpreted using immersive 3D visualisation software to interpret airborne light detection and ranging data and aerial photographs. Subsurface structure is determined by core logging and 3D electrical resistivity tomography (ERT), which is deployed at two scales of resolution to provide a means of volumetrically characterising the subsurface expression of both site scale (tens of metres) geological structure, and finer (metre to sub-metre) scale earth-flow related structures. Petrophysical analysis of the borehole core samples is used to develop relationships between the electrical and physical formation properties, to aid calibration and interpretation of 3D ERT images. Results of the landslide investigation reveal that an integrated approach centred on volumetric geophysical imaging successfully achieves a detailed understanding of structure and lithology of a complex landslide system, which cannot be achieved through the use of remotely sensed data or discrete intrusive sampling alone.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1007/s10346-013-0409-1
ISSN:	1612-510X
Date made live:	30 Sep 2014 12:51 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/508538

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1007/s10346-013-0409-1

ISSN:

1612-510X

Date made live:

30 Sep 2014 12:51 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/508538