The spatial correlation between track roughness and ground-penetrating radar inferred ballast degradation

Author(s):  
Kirk M Scanlan ◽  
Michael T Hendry ◽  
C Derek Martin ◽  
Douglas R Schmitt

Ballast degradation is considered to be a primary factor that contributes to the development of track roughness, and as such it is important to develop efficient techniques to assess the condition of the ballast. Ground-penetrating radar is one method that has been applied in a variety of railway foundation studies including those attempting to non-destructively assess ballast degradation. However, there has yet to be a large-scale study that attempts to correlate the ground-penetrating radar-based estimates of ballast degradation with the observed track roughness. This study investigates this correlation along a 335 km-long heavy-haul railway subdivision in Alberta, Canada. Track roughness is quantified from repeated track alignment and surface measurements spanning 15 months prior to the ground-penetrating radar data acquisition. Three sets of 400 MHz ground-penetrating radar measurements were performed in August 2012, one along each ballast shoulder and one along the track centreline. The results of this study reveal that significant correlations between the observed track roughness and the ground-penetrating radar-based interpretation of ballast degradation are rare and only exist when the data are compared at very small spatial scales. The absence of significant correlations between track roughness and the estimates of ballast degradation is primarily interpreted as being the result of ambiguous ground-penetrating radar data caused by local-scale variations in the track foundation unrelated to ballast degradation. To address these issues, potential improvements in the application of ground-penetrating radar as a ballast degradation detection tool are proposed.

2020 ◽  
Vol 59 (3) ◽  
pp. 75-80
Author(s):  
Kirill Olegovich SOKOLOV ◽  
◽  
Larisa Lukinichna FEDOROVA ◽  
Andrey Andreevich FEDOROV ◽  
◽  
...  

Relevance. Ground ice is one of unstable components of the cryolithozone and occupies 400–600 km3 in total. Changes in the conditions of heat transfer of ground ice under the influence of external or internal factors can lead to the formation of thermokarst sinkholes, solifluction mudslides, cryogenic landslides and other dangerous cryogenic phenomena in the frozen rock mass. Various methods are used to study underground ice. You can distinguish the method of GPR. Its advantages are efficiency and high detail of measurements. However, the process of identifying underground ice based on the results of processing and interpreting ground-penetrating radar data is currently not formalized in the form of an algorithm. Purpose of the work. Rapid mapping of geocryological structures requires the development of an appropriate algorithm (sequence of formalized procedures) for the processing and interpretation of ground penetrating radar data. Methodology of the algorithm is based on the analysis of characteristics of GPR traces, the use of fast Fourier transform to calculate the spectra of GPR traces and further analysis of the results. Results of the study. The developed algorithm will make it possible to quickly study the structural features of the frozen rock massif with the release of layer ice. The algorithm was tested on the results of physical and computer modeling of ground-penetrating radar measurements of rock mass with ice included. Conclusions. The use of algorithms for processing and interpretation of ground-penetrating radar data for the operational mapping of geocryological structures of frozen rock massifs makes it possible to reasonably and rationally apply a set of measures to prevent the occurrence of unfavorable geotechnical processes or to reduce economic losses when negative geocryological processes are activated.


2017 ◽  
Vol 63 (239) ◽  
pp. 543-555 ◽  
Author(s):  
MICHAEL McCARTHY ◽  
HAMISH PRITCHARD ◽  
IAN WILLIS ◽  
EDWARD KING

ABSTRACTSupraglacial debris thickness is a key control on the surface energy balance of debris-covered glaciers, yet debris thickness measurements are sparse due to difficulties of data collection. Here we use ground-penetrating radar (GPR) to measure debris thickness on the ablation zone of Lirung Glacier, Nepal. We observe a strong, continuous reflection, which we interpret as the ice surface, through debris layers of 0.1 to at least 2.3 m thick, provided that appropriate acquisition parameters were used while surveying. GPR measurements of debris thickness correlate well with pit measurements of debris thickness (r= 0.91, RMSE = 0.04 m) and two-way travel times are consistent at tie points (r= 0.97). 33% of measurements are <0.5 m, so sub-debris melting is likely important in terms of mass loss on the debris-covered tongue and debris thickness is highly variable over small spatial scales (of order 10 m), likely due to local slope processes. GPR can be used to make debris thickness measurements more quickly, over a wider debris thickness range, and at higher spatial resolution than any other means and is therefore a valuable tool with which to map debris thickness distribution on Himalayan glaciers.


PIERS Online ◽  
2006 ◽  
Vol 2 (6) ◽  
pp. 567-572
Author(s):  
Hui Zhou ◽  
Dongling Qiu ◽  
Takashi Takenaka

2021 ◽  
pp. 1-19
Author(s):  
Melchior Grab ◽  
Enrico Mattea ◽  
Andreas Bauder ◽  
Matthias Huss ◽  
Lasse Rabenstein ◽  
...  

Abstract Accurate knowledge of the ice thickness distribution and glacier bed topography is essential for predicting dynamic glacier changes and the future developments of downstream hydrology, which are impacting the energy sector, tourism industry and natural hazard management. Using AIR-ETH, a new helicopter-borne ground-penetrating radar (GPR) platform, we measured the ice thickness of all large and most medium-sized glaciers in the Swiss Alps during the years 2016–20. Most of these had either never or only partially been surveyed before. With this new dataset, 251 glaciers – making up 81% of the glacierized area – are now covered by GPR surveys. For obtaining a comprehensive estimate of the overall glacier ice volume, ice thickness distribution and glacier bed topography, we combined this large amount of data with two independent modeling algorithms. This resulted in new maps of the glacier bed topography with unprecedented accuracy. The total glacier volume in the Swiss Alps was determined to be 58.7 ± 2.5 km3 in the year 2016. By projecting these results based on mass-balance data, we estimated a total ice volume of 52.9 ± 2.7 km3 for the year 2020. Data and modeling results are accessible in the form of the SwissGlacierThickness-R2020 data package.


Data in Brief ◽  
2016 ◽  
Vol 7 ◽  
pp. 1588-1593 ◽  
Author(s):  
Ted L Gragson ◽  
Victor D. Thompson ◽  
David S. Leigh ◽  
Florent Hautefeuille

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