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Dive into the research topics where Jon Chambers is active.

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Featured researches published by Jon Chambers.


Journal of Environmental and Engineering Geophysics | 2002

The Use of 3D Electrical Resistivity Tomography to Characterise Waste and Leachate Distribution within a Closed Landfill, Thriplow, UK

R.D. Ogilvy; Philip I. Meldrum; Jon Chambers; Geoffrey Williams

Electrical Resistivity Tomography (ERT) has been used to map the 3D spatial distribution of waste and leachate concentrations within a closed and unconfined landfill. Borehole sampling and a 2D ERT survey down-gradient of the landfill boundary had failed to detect a pollution plume. Accordingly, a 3D survey was undertaken to determine the pattern of leachate drainage within the waste so that a more refined contaminant transport model could be developed. A full 3D survey was undertaken by sub-dividing the landfill into a number of discrete rectangular blocks and acquiring data on multiple parallel lines. The line data were merged into a single x-y matrix file and then inverted using a 3D finite element algorithm. The results are presented as 3D volumetric tomograms to show the inferred waste distribution and leachate flow-paths. The resistivity models indicate that leachate has accumulated at several discrete localities within the landfill. The controlling mechanism appears to be the depth and geometry of ...


(2015). International Symposium on Geohazards and Geomechanics (ISGG2015). : IOP Publishing, pp. 012005, IOP conference series : earth and environmental science (EES)., Vol.26 | 2015

Research-informed design, management and maintenance of infrastructure slopes: development of a multi-scalar approach

Stephanie Glendinning; Peter Helm; Mohamed Rouainia; Ross Stirling; J.D. Asquith; Pn Hughes; D. G. Toll; D. Clarke; W. Powrie; J. Smethurst; David Hughes; Ruth Harley; Rajibul Karim; Neil Dixon; Chris Crosby; Jon Chambers; Tom Dijkstra; David Gunn; Kevin Briggs; D. Muddle

The UKs transport infrastructure is one of the most heavily used in the world. The performance of these networks is critically dependent on the performance of cutting and embankment slopes which make up £20B of the £60B asset value of major highway infrastructure alone. The rail network in particular is also one of the oldest in the world: many of these slopes are suffering high incidents of instability (increasing with time). This paper describes the development of a fundamental understanding of earthwork material and system behaviour, through the systematic integration of research across a range of spatial and temporal scales. Spatially these range from microscopic studies of soil fabric, through elemental materials behaviour to whole slope modelling and monitoring and scaling up to transport networks. Temporally, historical and current weather event sequences are being used to understand and model soil deterioration processes, and climate change scenarios to examine their potential effects on slope performance in futures up to and including the 2080s. The outputs of this research are being mapped onto the different spatial and temporal scales of infrastructure slope asset management to inform the design of new slopes through to changing the way in which investment is made into aging assets. The aim ultimately is to help create a more reliable, cost effective, safer and more resilient transport system.


Water Resources Research | 2016

Tracking tracer motion in a 4‐D electrical resistivity tomography experiment

Wil O.C. Ward; P.B. Wilkinson; Jon Chambers; Henrik Nilsson; Oliver Kuras; Li Bai

A new framework for automatically tracking subsurface tracers in electrical resistivity tomography (ERT) monitoring images is presented. Using computer vision and Bayesian inference techniques, in the form of a Kalman filter, the trajectory of a subsurface tracer is monitored by predicting and updating a state model representing its movements. Observations for the Kalman filter are gathered using the maximally stable volumes algorithm, which is used to dynamically threshold local regions of an ERT image sequence to detect the tracer at each time step. The application of the framework to the results of 2-D and 3-D tracer monitoring experiments show that the proposed method is effective for detecting and tracking tracer plumes in ERT images in the presence of noise, without intermediate manual intervention.


Near Surface Geoscience 2015 - 21st European Meeting of Environmental and Engineering Geophysics | 2015

Time-lapse Monitoring of the Slopes of a Heritage Earthwork by Means of Near-surface Seismic Techniques

Paolo Bergamo; Shane Donohue; David Gunn; Ben Dashwood; Sebastian Uhlemann; Jon Chambers; D. Ward

A significant portion of UK’s infrastructures earthworks was built more than 100 years ago, without modern construction standards: poor maintenance and the change of precipitations pattern experienced in the past decades are currently compromising their stability, leading to an increasing number of failures. To address the need for a reliable and time-efficient monitoring of earthworks at risk of failure we propose here the use of two established seismic techniques for the characterization of the near surface, MASW and P-wave refraction. We have regularly collected MASW and P-wave refraction data, from March 2014 to February 2015, along 4 reduced-scale seismic lines located on the flanks of a heritage railway embankment located in Broadway, SW of England. We have observed a definite temporal variability in terms of phase velocities of SW dispersion curves and of P-wave travel times. The accurate choice of ad-hoc inversion strategies has allowed to reconstruct reliable VP and VS models through which it is potentially possible to track the temporal variations of geo-mechanical properties of the embankment slopes. The variability over time of seismic data and seismic velocities seems to correlate well with rainfall data recorded in the days immediately preceding the date of acquisition.


Symposium on the Application of Geophysics to Engineering and Environmental Problems 2015 | 2015

Assessing climate effects on railway earthworks Using MASW

Shane Donohue; Paolo Bergamo; Eoin Hughes; David Gunn; Ben Dashwood; Sebastian Uhlemann; Jon Chambers; D. Ward

Many parts of the UK’s rail network were constructed in the mid‐19th century long before the advent of modern construction standards. Historic levels of low investment, poor maintenance strategies and the deleterious effects of climate change have resulted in critical elements of the rail network being at significant risk of failure. The majority of failures which have occurred over recent years have been triggered by extreme weather events. Advance assessment and remediation of earthworks is, however, significantly less costly than dealing with failures reactively. It is therefore crucial that appropriate approaches for assessment of the stability of earthworks are developed, so that repair work can be better targeted and failures avoided wherever possible. This extended abstract briefly discusses some preliminary results from an ongoing geophysical research project being carried out in order to study the impact of climate or seasonal weather variations on the stability of a century old railway embankment on the Gloucestershire Warwickshire steam railway line in Southern England.


Geophysical Journal International | 2014

Distribution-based fuzzy clustering of electrical resistivity tomography images for interface detection

Wil O.C. Ward; P.B. Wilkinson; Jon Chambers; Lucy S. Oxby; Li Bai


XVI European Conference on Soil Mechanics and Geotechnical Engineering | 2015

Earthworks ground model development using surface wave surveys

David Gunn; Shane Donohue; Ben Dashwood; Paolo Bergamo; Michael Raines; Sebastian Uhlemann; Jon Chambers


Construction and Building Materials | 2018

Deterioration Model and Condition Monitoring of Aged Railway Embankment using Non-Invasive Geophysics

David Gunn; Jon Chambers; Ben Dashwood; Alicja Lacinska; Tom Dijkstra; Sebastian Uhlemann; R. Swift; M. Kirkham; A.E. Milodowski; Joanna Wragg; S. Donohue


Water Resources Research | 2016

Integrated time-lapse geoelectrical imaging of wetland hydrological processes: IMAGING WETLAND DYNAMICS USING GEOELECTRICAL MONITORING

Sebastian Uhlemann; James Sorensen; Andrew House; P.B. Wilkinson; Chris Roberts; Daren Gooddy; Andrew Binley; Jon Chambers


Water Resources Research | 2016

Tracking tracer motion in a 4-D electrical resistivity tomography experiment: TRACKING TRACER MOTION IN 4-D ERT

Wil O.C. Ward; P.B. Wilkinson; Jon Chambers; Henrik Nilsson; Oliver Kuras; Li Bai

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David Gunn

British Geological Survey

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P.B. Wilkinson

British Geological Survey

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Ben Dashwood

British Geological Survey

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Li Bai

University of Nottingham

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Shane Donohue

Queen's University Belfast

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Wil O.C. Ward

University of Nottingham

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Henrik Nilsson

University of Nottingham

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Oliver Kuras

British Geological Survey

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