Sediment classification in the paleo-oceanic environment based on multi-acoustic reflectance characteristics in the Southern Tianshan Mountains

The grain size of sediments is a crucial parameter in sedimentology, with significant implications for submarine engineering and water conservancy projects. In this study, we developed an acoustic reflection measurement system using a self-developed, high-precision, high-frequency shallow stratigraphic profiler. The system's accuracy was validated with standard acrylic samples. Results showed that within the sediment grain size range of 0.3 to 2.5 mm, the acoustic reflection amplitude increased with grain size. However, distinguishing grain sizes between 0.1 and 0.3 mm from those between 1.0 and 1.5 mm based solely on reflection amplitude proved challenging. Notably, the differences in wavefront flare shapes between these grain sizes were readily apparent. Therefore, combining reflection peak amplitude with time-domain waveform analysis enables more precise sediment grain size classification.

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Publication Details

Journal
Frontiers in Marine Science
Published
2024-08-21
DOI
https://doi.org/10.3389/fmars.2024.1370274
Primary Topic
Underwater Acoustics Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Sediment classification in the paleo-oceanic environment based on multi-acoustic reflectance characteristics in the Southern Tianshan Mountains

Dapeng Zou, Jiangfeng Song, Huancheng Zhen, Xinghui Cao et al.
Frontiers in Marine Science
Underwater Acoustics Research
article

Sediment classification in the paleo-oceanic environment based on multi-acoustic reflectance characteristics in the Southern Tianshan Mountains

Dapeng Zou, Jiangfeng Song, Huancheng Zhen, Xinghui Cao, Zhiguo Qu, Shuai Xiong, Hao Guo
article en

Abstract

The grain size of sediments is a crucial parameter in sedimentology, with significant implications for submarine engineering and water conservancy projects. In this study, we developed an acoustic reflection measurement system using a self-developed, high-precision, high-frequency shallow stratigraphic profiler. The system's accuracy was validated with standard acrylic samples. Results showed that within the sediment grain size range of 0.3 to 2.5 mm, the acoustic reflection amplitude increased with grain size. However, distinguishing grain sizes between 0.1 and 0.3 mm from those between 1.0 and 1.5 mm based solely on reflection amplitude proved challenging. Notably, the differences in wavefront flare shapes between these grain sizes were readily apparent. Therefore, combining reflection peak amplitude with time-domain waveform analysis enables more precise sediment grain size classification.

Frontiers in Marine ScienceVol. 11
Guangdong University of Technology (CN), Harbin Engineering University (CN), Xinjiang New Energy Research Institute (China) (CN)
Natural Science Foundation of Xinjiang Province
Life below water
Openalex Percentile: Top 85%
Underwater Acoustics Research
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Sediment classification in the paleo-oceanic environment based on multi-acoustic reflectance characteristics in the Southern Tianshan Mountains — Dapeng Zou, Jiangfeng Song, et al. · Frontiers in Marine Science (2024) | TGRS Research Map | TGRS