| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Chapman, David
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2024Self-swabbing versus assisted swabbing for viral detection by qRT-PCR: the experience from SARS-CoV-2 based on a meta-analysis of six prospectively designed evaluations conducted in a UK settingcitations
- 2021Ultra-high speed X-ray imaging of dynamic fracturing in cementitious materials under impact ; Imagerie aux rayons X ultra-rapide de la fracturation dynamique dans des matériaux cimentaires sous impactcitations
- 2020Experimental investigation into the effects of cast-iron pipe corrosion on GPR detection performance in clay soilscitations
- 2017Unique Insight into the Seasonal Variability of Geophysical Properties of Field Soils: Practical Implications for Near Surface Investigationscitations
- 2017Seasonal variations measured by TDR and GPR on an anthropogenic sandy soil and the implications for utility detectioncitations
- 2014Factors affecting soil permittivity and proposals to obtain gravimetric water content from time domain reflectometry measurementscitations
- 2013Impact of millimeter-size silicon microchips on the mechanical properties of polymer samples tested under flexural bending, long-term creep,and impact conditionscitations
- 2012Construction and calibration of a field TDR monitoring stationcitations
- 2011Pipeline Engineering in the Ground: the impact of Ground Conditions on Pipeline Condition and Maintenance Operationscitations
- 2010Electromagnetic Properties of the Ground: Part II - The Properties of Two Selected fine-Grained Soilscitations
- 2010Electromagnetic Properties of the Ground: Part 1 - Fine-Grained Soils at the Liquid Limitcitations
- 2008Broadband apparent permittivity measurement in dispersive soils using quarter-wavelength analysiscitations
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article
Seasonal variations measured by TDR and GPR on an anthropogenic sandy soil and the implications for utility detection
Abstract
The electromagnetic (EM) soil properties are dynamic variables that can change considerably over time, and they fundamentally affect the performance of Ground Penetrating Radar (GPR). However, long-term field studies are remarkably rare and records of the EM soil properties and their seasonal variation are largely absent from the literature. This research explores the extent of the seasonal variation of the apparent permittivity (Ka) and bulk electrical conductivity (BEC) measured by Time Domain Reflectometry (TDR) and their impact on GPR results, with a particularly important application to utility detection. A bespoke TDR field monitoring station was specifically developed and installed in an anthropogenic sandy soil in the UK for 22 months. The relationship between the temporal variation of the EM soil properties and GPR performance has been qualitatively assessed, highlighting notably degradation of the GPR images during wet periods and a few days after significant rainfall events following dry periods. Significantly, it was shown that by assuming arbitrary average values (i.e. not extreme values) of Ka and BEC which do not often reflect the typical conditions of the soil, it can lead to significant inaccuracies in the estimation of the depth of buried targets, with 1 errors potentially up to approximately 30% even over a depth of 0.50 m (where GPR is expected to be most accurate). It is therefore recommended to measure or assess the soil conditions during GPR surveys, and if this is not possible to use typical wet and dry Ka values reported in the literature for the soil expected at the site, to improve confidence in estimations of target depths.