Landslide ground model development through integrated geoelectrical and seismic imaging in Thungsong district, Nakhon Si Thammarat, Thailand

Sujitapan, C.; Kendall, J.M.; Chambers, J.E.; Yordkayhun, S.. 2023 Landslide ground model development through integrated geoelectrical and seismic imaging in Thungsong district, Nakhon Si Thammarat, Thailand. Journal of Asian Earth Sciences: X, 10, 100168. https://doi.org/10.1016/j.jaesx.2023.100168

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Official URL: http://dx.doi.org/10.1016/j.jaesx.2023.100168

Abstract/Summary

A ground model of a shallow landslide in rainfall-induced slope failure of Thungsong, Nakhon Si Thammarat, southern Thailand is developed through an integrated geophysical approach, utilising electrical resistivity tomography and P-wave seismic refraction tomography (SRT) methods. Those two methods were applied to assess landslide structure and study deformation mechanisms along four profiles. Beside the four profiles there is another profile, which was acquired near an borehole and used for the calibration with geological data. Our results show subsurface structures in terms of the ground model used to determine stratigraphic layers, zones of saturation or groundwater table, and significant differences between the landslide slip material and the underlying bedrock. The clay-rich zones (resistivity less than 500 Ωm) in the colluvium on the relatively steep slope, show enhanced potential for landslides. This silty clay plays an important role for landslide activation in this site. Moreover, a combination of steep slopes, shallow basement rocks overlain by clay-rich colluvium, and seasonally high rain fall leads to landslides in the region. The ground model produced by geophysical imaging for this region achieves a comprehensive understanding of the structure and lithology of a complex landslide system and overcomes the limitations of remote-sensing data or isolated intrusive sampling techniques alone.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/j.jaesx.2023.100168
ISSN:	25900560
Date made live:	18 Jan 2024 15:39 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/536707

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1016/j.jaesx.2023.100168

ISSN:

25900560

Date made live:

18 Jan 2024 15:39 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/536707