Ground-penetrating radar used to assess aggregate in catastrophic flood deposits, northeast Alberta, Canada

1995 ◽  
Vol 32 (5) ◽  
pp. 871-879 ◽  
Author(s):  
Timothy G. Fisher ◽  
Harry M. Jol ◽  
Derald G. Smith
Keyword(s):  
Ground Penetrating Radar ◽  
High Energy ◽  
Coarse Sand ◽  
Coarse Grained ◽  
Radar Signal ◽  
Oil Sand ◽  
Sedimentary Structures ◽  
Catastrophic Flood ◽  
Flood Deposits ◽  
Ground Penetrating

Coarse-grained aggregate deposited by a catastrophic flood located north of Fort McMurray, Alberta, was examined using ground-penetrating radar (GPR) and lithostratigraphic logging techniques. GPR transects were acquired from an upper scoured zone of flood deposits. Sedimentary structures (cross-beds and plane-beds) within the coarse sand and gravel and determinations of depth to bedrock (sediment thickness of the aggregate) were recognized in the GPR profiles by their varying dielectric properties. Fine-grained, conductive underlying oil-sand, till, or glaciolacustrine sediment (silt and clay) attenuated the radar signal. The sedimentary structures mapped from the GPR transects were confirmed in adjacent trench exposures. We suggest that GPR is an efficient methodology for determining volumes of aggregate reserves, thicknesses of aggregate deposits, and mapping sedimentary structures of high-energy fluvial sediments. Key words : aggregate, ground-penetrating radar, Alberta, spillway.

Buried target signature extraction from ground-penetrating radar signal: measurements and simulations

2005 ◽  
Vol 4 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Idesbald van den Bosch ◽  
Sébastien Lambot ◽  
Pascal Druyts ◽  
Isabelle Huynen ◽  
Marc Acheroy
Keyword(s):  
Ground Penetrating Radar ◽  
Radar Signal ◽  
Signature Extraction ◽  
Ground Penetrating

Study on Ground Penetrating Radar Signal Denoising Method Based on Surfacelet Transform and 3D Context Model

2014 ◽  
Vol 1010-1012 ◽  
pp. 1272-1275
Author(s):  
Dan Dan Liu ◽  
Zhi Qiu Yang ◽  
Chun Rui Tang
Keyword(s):  
Ground Penetrating Radar ◽  
Three Dimensional ◽  
Radar Signal ◽  
Signal Denoising ◽  
Context Model ◽  
Denoising Method ◽  
Subsurface Environment ◽  
Surface Singularities ◽  
Surfacelet Transform ◽  
Ground Penetrating

The ground penetrating radar and radar wave propagation in the subsurface environment is very complex. All kinds of noise and clutter interference is very serious, and detection echo data is a variety of with clutter. Therefore, the key techniques of data processing is to suppress clutter processing of ground penetrating radar record data. Surfacelet transform can efficiently capture and represent local surface singularities with different sizes. In order to improve the reliability of 3D ground penetrating radar detection results and accuracy, this paper presents a three-dimensional ground penetrating radar signal denoising method based on Surfacelet transform. Using Surfacelet transform and 3D context model for ground penetrating radar (GPR) analog signal to denoising, the noise in the case of low signal noise ratio (SNR) still can obtain a better result, and the simulations prove the effectiveness of the method.

scholarly journals Subsurface Sediment Deposits of Tanjung Berikat Coast, Bangka, Determined from GPR Interpretation

2021 ◽  
Vol 873 (1) ◽  
pp. 012019
Author(s):  
L Gustiantini ◽  
U Kamiludin ◽  
M Zulfikar ◽  
Y Noviadi ◽  
U Hernawan ◽  
...  
Keyword(s):  
Electromagnetic Wave ◽  
Ground Penetrating Radar ◽  
Coarse Sand ◽  
Process Unit ◽  
Sea Level Changes ◽  
Strong Electromagnetic Wave ◽  
Granite Intrusion ◽  
Sediment Deposits ◽  
Ground Penetrating ◽  
Sediment Deposit

Abstract Tanjung Berikat Coast in Central Bangka, is a part of the Southeast Asian tin belt. We conducted four Ground-Penetrating Radar (GPR) survey lines and 13 hand auger coring to understand sediment deposition and composition. Two similar units were determined from GPR lines BLG 01–BLG 03: Unit A at the top part, reflected by parallel and continuous reflector configuration, weak–strong electromagnetic wave. Underneath Unit A is Unit B, characterized by subparallel configuration, not continuous–chaotic, weak–medium electromagnetic wave. Unit B is absent in BLG 04. We identify another two units from BLG 04 and BLG 03, Unit C, characterized by subparallel reflector configuration, not continuous– chaotic, weak–strong electromagnetic wave. It exhibits distinctive modulating contact with Unit D. Unit D is characterized by chaotic reflector configuration, relatively stronger electromagnetic wave that might be correlated to the granite intrusion Tanjung Klabat. Sediment deposit is composed of fine–coarse sand, consisting mostly of clastic plutonic and clastic biogenic (coral and mollusk fragments), which increase downward. This indicates marine-fluvial influence, which suggests that sea-level changes strongly influence sedimentation process. Unit A from GPR is correlated to these sediment deposits, the other three units might be correlated to weathering of older insitu deposit.

Determining Bridge Deck Chloride Quantities Using Ground Penetrating Radar

2021 ◽  
Author(s):  
Anthony Alongi
Keyword(s):  
Ground Penetrating Radar ◽  
Bridge Deck ◽  
Bridge Decks ◽  
Cost Effective ◽  
Chloride Content ◽  
Signal Propagation ◽  
Radar Signal ◽  
Signal Loss ◽  
Deicing Salts ◽  
Ground Penetrating

<p>Chlorides from deicing salts attack the steel reinforcement in bridge decks which can ultimately cause delamination and deterioration of the concrete. For transportation agencies, the repair cost from these defects are estimated to exceed $5B per year in USA and make up between 50% - 85% of bridge maintenance budgets. While, the removal and replacement of chloride contaminated concrete is the most long-lasting and cost-effective remediation, few methods exist to determine chloride content in bridge decks. This research describes an entirely new method for determining chloride quantity in bridge decks using ground penetrating radar (GPR) technology and establishes and quantifies the relationship between chlorides in concrete (which cause corrosion of reinforcing steel and delamination of concrete) and the effect on GPR signal propagation. Specifically, it shows that there is a deterministic relationship between radar signal attenuation and the amount of chloride and moisture in bridge deck concrete, and that when moisture content is known it is possible to estimate chloride quantity based on signal loss or attenuation measurements. Our research also demonstrates the practical application of this concept by utilizing GPR along with limited coring (three or more core samples) and laboratory chloride measurements to produce an accurate and quantitative, spatial mapping of chlorides in bridge decks.</p>

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