Characterising sand and gravel deposits using electrical resistivity tomography (ERT) : case histories from England and Wales [PDF]
, 2012 Electrical Resistivity Tomography (ERT) is a rapidly developing geophysical imaging technique that is now widely used to visualise subsurface geological structure, groundwater and lithological variations.
Aumonier, J. +11 more
core
Identification of high-permeability subsurface structures with multiple point geostatistics and normal score ensemble Kalman filter [PDF]
, 2017 Alluvial aquifers are often characterized by the presence of braided high-permeable paleo-riverbeds, which constitute an interconnected preferential flow network whose localization is of fundamental importance to predict flow and transport dynamics ...
Camporese, Matteo +4 more
core +1 more source
Clay fine fissuring monitoring using miniature geo-electrical resistivity arrays [PDF]
, 2009 This article describes a miniaturised electrical imaging (resistivity tomography) technique to map the cracking pattern of a clay model. The clay used was taken from a scaled flood embankment built to study the fine fissuring due to desiccation and ...
A Samouëlian +14 more
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Geophysical characterization of derelict coalmine workings and mineshaft detection: a case study from Shrewsbury, United Kingdom [PDF]
, 2009 A study site of derelict coalmine workings near Shrewsbury, United Kingdom was the focus for multi‐phase, near‐surface geophysical investigations. Investigation objectives were: 1) site characterization for remaining relict infrastructure foundations, 2)
Cassidy, NJ +8 more
core +2 more sources
Mapping the conductivity of graphene with Electrical Resistance Tomography [PDF]
Scientific Reports, 2019 AbstractElectronic applications of large-area graphene films require rapid and accurate methods to map their electrical properties. Here we present the first electrical resistance tomography (ERT) measurements on large-area graphene samples, obtained with a dedicated measurement setup and reconstruction software.
Cultrera, Alessandro +10 more
openaire +4 more sources
Resolution capacity of geophysical monitoring regarding permafrost degradation induced by hydrological processes [PDF]
, 2017 Geophysical methods are often used to characterize and monitor the subsurface composition of permafrost. The resolution capacity of standard methods, i.e.
Delaloye, Reynald +3 more
core +3 more sources
Electrical Resistance Tomography for Imaging Concrete Structures [PDF]
, 2020 Electrical Resistance Tomography (ERT) has been used to non-destructively examine the interior of reinforced concrete pillars in the laboratory during a water infiltration experiment. ERT is a technique for determining the electrical resistivity distribution within a volume from measurement of injected currents and the resulting electrical potential ...
Buettner, M., Ramirez, A., Daily, W.
openaire +1 more source
Profiles of Problematic Soils and Spatial Distribution: Implication on Foundation Construction in Parts of Kosofe Lagos, Southwestern Nigeria. [PDF]
, 2018 Geotechnical data were complemented with geophysical investigation and employed to delineate problematic soils in parts of Kosofe Lagos, Southwestern Nigeria.
Bayewu, Olateju O. +3 more
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Connection between electrical conductivity and diffusion coefficient of a conductive porous material filled with electrolyte [PDF]
, 2017 The paper focuses on the cross-property connection between the effective electrical conductivity and the overall mass transfer coefficient of a two phase material. The two properties are expressed in terms of the tortuosity parameter which generalized to
Merodio, J. +4 more
core +1 more source
A convolutional neural network approach to electrical resistivity tomography
Journal of Applied Geophysics, 2020 Abstract Electrical resistivity tomography (ERT) is an ill-posed and non-linear inverse problem commonly solved through deterministic gradient-based methods. These algorithms guarantee fast convergence toward the final solution but hinder accurate uncertainty assessments. On the contrary, numerical Markov Chain Monte Carlo algorithms provide
Aleardi M., Vinciguerra A., Hojat A.
openaire +3 more sources