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David Gunn

Researcher at British Geological Survey

Publications -  113
Citations -  2263

David Gunn is an academic researcher from British Geological Survey. The author has contributed to research in topics: Electrical resistivity tomography & Landslide. The author has an hindex of 24, co-authored 109 publications receiving 1839 citations. Previous affiliations of David Gunn include Natural Environment Research Council.

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Three-dimensional geophysical anatomy of an active landslide in Lias Group mudrocks, Cleveland Basin, UK

TL;DR: In this article, a geoelectrical investigation of a slow moving earth slide in Lower Jurassic Lias Group rocks of the Cleveland Basin, UK, is described, which includes a reconnaissance survey phase using two-dimensional electrical resistivity tomography (ERT), resistivity mapping, self-potential (SP) profiling and mapping, followed by a detailed investigation of an area of the landslide using three-dimensional (3D) ERT and selfpotential tomography.
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4D electrical resistivity tomography monitoring of soil moisture dynamics in an operational railway embankment

TL;DR: In this article, the internal moisture dynamics of an aged railway earthwork embankment, which is still in use, were investigated using 2D and 3D resistivity monitoring, and a methodology was employed that included automated 3D ERT data capture and telemetric transfer with onsite power generation, the correction of resistivity models for seasonal temperature changes and the translation of subsurface resistivity distributions into moisture content based on petrophysical relationships developed for the embankments material.
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Assessment of ground-based monitoring techniques applied to landslide investigations

TL;DR: In this paper, the authors compared the performance of a combination of monitoring techniques that have been employed together for the first time on an active landslide in the Whitby Mudstone Formation at Hollin Hill, North Yorkshire, UK.
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Practical aspects of applied optimized survey design for electrical resistivity tomography

TL;DR: In this paper, a simulated annealing algorithm is used to rearrange the optimised measurement sequences to minimise polarisation errors, and an optimisation algorithm is developed to design surveys by successive addition of multi-channel groups of measurements rather than individual electrode configurations, which produces results nearly as close to optimal as equivalent single channel surveys, while reducing data collection times by an order of magnitude.
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Moisture monitoring in clay embankments using electrical resistivity tomography

TL;DR: In this article, the authors describe a system and methods for monitoring temporal and spatial moisture content changes in clay embankments using electrical resistivity tomography (ERT) imaging, based upon the development of a robust relationship between fill resistivity and moisture content and its use in the transformation of resistivity image differences in terms of relative moisture content change.