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Research Articles

Calibration and application of high-frequency submersible sub-bottom profiler for deep-sea surficial sediment measurement

, , , , &
Pages 671-681 | Received 15 Feb 2022, Accepted 02 Jun 2022, Published online: 15 Jun 2022
 

Abstract

We developed a high-frequency submersible sub-bottom profiler (HF-SSBP) instrument for taking deep-sea sediment measurement. In order to evaluate the reliability of profile data, a laboratory calibration method (LCM) was developed using illuminated acrylic standard boards in anechoic tank to form multi-layer reflections and evaluate the errors of the HF-SSBP. Two layer reflections induced by single boards in different thicknesses and ranges were performed and recorded, after which four layer reflections induced by two boards with an adjusted water crack were set and logged. The results showed that the HF-SSBP resolution was 44.9 mm in acrylic and its equivalent in the sediment was 28.5 mm. The absolute measure error was 7 mm with an acrylic board thickness of 100 mm, and the maximum measure error was 3.5 mm in different water thicknesses. As a test and application, deep-sea sediment measurement of the HF-SSBP was launched and compared with in situ sampling cores in the same site. The measurement thickness for sections A and B are 39.4 cm and 23.2 cm, respectively, corresponding to the sampling core of 39.8 cm and 23.7 cm. The two results are close as we expected. This work demonstrates the reliability and accuracy of the HF-SSBP measurement, thus providing a good choice for deep-sea submergence vehicles to carry this sonar instrument to obtain high-resolution stratum in deep-sea surficial sediments.

Acknowledgements

The authors would like to thank the science and deep-sea divers of Deep Sea Science and Engineering, Chinese Academy of Sciences (IDSSE, CAS) for providing help on the sea trial carried by the Deep-Sea Warrior deep-submergence vehicle.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This research was supported by the Natural Science Foundation of the Xinjiang Uygur Autonomous Region [grant numbers 2020D01B25, 2022D01C348, and 2021D01B42] and the National Natural Science Foundation of China [grant number 6160011634].

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