scholarly journals Subbottom Profiling Investigation of Sinkhole Lake Structure in Bay and Washington Counties, Florida

Author(s):  
Thomas Dobecki ◽  
Sam Upchurch ◽  
Thomas Scott ◽  
Beth Fratesi ◽  
Michael Alfieri
2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Ole Grøn ◽  
Lars Ole Boldreel

Archaeological wrecks exposed on the sea floor are mapped using side-scan and multibeam techniques, whereas the detection of submerged archaeological sites, such as Stone Age settlements, and wrecks, partially or wholly embedded in sea-floor sediments, requires the application of high-resolution subbottom profilers. This paper presents a strategy for cost-effective, large-scale mapping of previously undetected sediment-embedded sites and wrecks based on subbottom profiling with chirp systems. The mapping strategy described includes (a) definition of line spacing depending on the target; (b) interactive surveying, for example, immediate detailed investigation of potential archaeological anomalies on detection with a denser pattern of subbottom survey lines; (c) onboard interpretation during data acquisition; (d) recognition of nongeological anomalies. Consequently, this strategy differs from those employed in several detailed studies of known wreck sites and from the way in which geologists map the sea floor and the geological column beneath it. The strategy has been developed on the basis of extensive practical experience gained during the use of an off-the-shelf 2D chirp system and, given the present state of this technology, it appears well suited to large-scale maritime archaeological mapping.


2019 ◽  
Vol 53 (3) ◽  
pp. 90-95
Author(s):  
Lei Gao ◽  
Hai-Tao Gu ◽  
Hong-li Xu

AbstractThe conventional method of surveying utilizing manned vessels requires a large investment of labor-intensive and time-consuming efforts. With the phenomenal progress of unmanned surface vessels (USVs), they have become a useful tool for surveyors and engineers who have been seeking a more productive and low-cost method as an alternative. This paper depicts a novel design of USVs for autonomous detection and recognition of buried submarine pipeline. The design adopted a parametric subbottom profiling system with embedded algorithms for path planning, autonomous obstacle avoidance, and autonomous pipeline recognition and navigation. The pipeline detection is based on the analysis of quadratic functions generated by the subbottom data set. Compared to the conventional method, the use of USVs equipped with subbottom profiling system turns out to be more useful and efficient for accurate detections of submarine pipeline.


2020 ◽  
Vol 150 ◽  
pp. 104120
Author(s):  
Anne E. Tamalavage ◽  
Peter J. van Hengstum ◽  
Patrick Louchouarn ◽  
Patricia L. Fall ◽  
Jeffrey P. Donnelly ◽  
...  

Polar Record ◽  
1974 ◽  
Vol 17 (106) ◽  
pp. 31-41 ◽  
Author(s):  
K. J. Campbell ◽  
A. S. Orange

For several years. Geophysical Survey Systems, Inc has been using an impulse radar system as a shallow subsurface exploration tool for engineering applications. Recently this system has been applied to the measurement of ice thicknesses both on sea-water and fresh-water ice. In the course of a feasibility study performed in December 1972, thebasic operating parameters and limitations of the tool when operated on ice were determined. Following the feasibility study, operational surveys were performed totalling approximately 11 crew-months and covering in excess of 1 500 km of survey route at several locations in the Canadian Arctic. The technique is known as Electromagnetic Subsurface Profiling (ESP), and it can be considered the electromagnetic equivalent of the single-trace acoustic profiling methods used for marine subbottom profiling. In practice, ice-thickness profiling is done by towing a sled-mounted antenna behind a tracked vehicle containing the impulse system (Fig 1). Real-time profile data are displayed graphically on a strip-chart recorder. The data may also be recorded on magnetic tape for later processing and playback.


2017 ◽  
Vol 57 (4) ◽  
pp. 295-306 ◽  
Author(s):  
Sean Michael Earley ◽  
Matthew Neal Waters ◽  
Donald Thieme ◽  
Joseph McDonald Smoak

2017 ◽  
Vol 27 (2) ◽  
pp. 27-37
Author(s):  
Jill Coles ◽  
Matthew Graham ◽  
Brian Riggs

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