Applicability of Traditional Acoustic Technology for Underwater Archeology: A Case Study of Model Detection in Xiamen Bay
Year: 2025
Type: article
Abstract: This study addresses the applicability of conventional marine acoustic technologies for detecting non-metal artifacts. Based on the typical environment in Xiamen Bay, we evaluated the detection efficacy of common multibeam sonar, side-scan sonar, and sub-bottom profiling sonar through a controlled model experiment system. We employed ceramic artifact replicas (ranging in size from 10 to 70 cm) and incorporated acoustic parameter optimization to elucidate the applicability boundaries of different technologies. The results indicate that multibeam sonar can identify clustered targets larger than 0.5 m, but is limited in resolving small individual targets (less than 30 cm) due to terrain detail constraints. Side-scan sonar, under low-speed (less than 4 knots) and near-bottom operating conditions, effectively captures the high-intensity echo characteristics of ceramic targets, achieving a maximum effective detection range of more than 40 m. High-frequency sub-bottom profiler (94–110 kHz) offers resolution advantages for exposed artifacts, while low-frequency signals (5–15 kHz) provide theoretical support for detecting subsequently buried targets. Furthermore, the study quantifies the coupling effects of substrate type, target size, and surface roughness on acoustic responses. We propose a synergistic detection workflow comprising “multibeam initial screening—side-scan fine mapping—sub-bottom profiling validation,” which provides empirical support for the optimization and standardization of underwater archeological technologies in complex marine environments.
Source: Acoustics
Authors: Xudong Fang, Jianglong Zheng, Shengtao Zhou, Zepeng Huang, Boran Liu, Ping Chen, Jiang Xu
Language: English
Subfield: Archeology
Field: Arts and Humanities
Domain: Social Sciences
SDG: Life below water
Open Access status: gold
Estimated APC paid: $1,930
Awards: G151008723, G3325661565, G5548889067
OpenAlex ID: W4414409298
