渔业声学频差技术在广西银滩南部海域海洋牧场渔业资源评估中的应用

Application of fishery acoustic frequency difference technology in fishery resource assessment of marine ranching in southern sea area of Yintan, Guangxi

  • 摘要: 为增强海洋牧场渔业资源评估精确度,于2023年1月在广西银滩南部海域的海洋牧场示范区采用EK 80 (工作频率为120 kHz) 和EY 60 (工作频率为200 kHz) 2款先进的分裂波束探鱼仪进行渔业资源声学调查,并辅以底拖网生物学采样。通过对比频差降噪技术和传统降噪技术解析渔业资源声学映像,结果显示:频差降噪技术在追踪单体目标时,其平均目标强度 (Target strength, TS) 值高于传统技术,且变化范围更小,展现出更强的技术性和客观性;在评估不同断面渔业资源密度时,频差降噪技术得出的平均尾数密度均低于传统技术,显示出在处理渔业声学噪声方面的可靠性;对于优势种类,频差降噪技术在评估较大个体时,尾数密度差异不大,但在评估较小个体时,尾数密度显著增加,表明其在提高渔业资源密度评估准确性方面具有优势。因此,利用经过频差降噪技术处理后的体积反向散射系数 (Volume backscattering strength, Sv) 映像评估渔业资源密度,不仅能剔除更多干扰噪声,且能更精准地检测到个体较小的生物目标,提高海洋牧场渔业资源评估结果的准确性。

     

    Abstract: To improve the accuracy of fisheries resource assessment in marine ranching, we conducted an acoustic survey in the marine ranching demonstration area that is in the southern sea area of Yintan, Guangxi in January 2023, by using two advanced split-beam echo sounders: the EK80 (Operating frequency: 120 kHz) and the EY60 (Operating frequency: 200 kHz), with the biological sampling through bottom trawling. According to the comparison between frequency-difference noise-reduction techniques and traditional noise-reduction methods in the analysis of fisheries acoustic data, compared with traditional techniques, the frequency-difference noise reduction yielded a higher average target strength (TS) with a smaller variation range when tracking single targets, demonstrating greater technical precision and objectivity. When assessing the fish density across different transects, we found that the average count density obtained through frequency-difference noise reduction was consistently lower than that derived from traditional methods, showing its reliability in handling acoustic noise in fisheries assessment. For dominant species, the frequency-difference noise reduction showed insignificant differences in the count density for larger individuals, but a significant increase for smaller individuals, highlighting its advantage in enhancing assessment accuracy for fish density. Therefore, using volume backscattering strength (Sv) images processed with frequency-difference noise reduction for fisheries resource density assessment can more effectively eliminate interfering noise and accurately detect smaller biological targets, ultimately improving the precision of fisheries resource assessment in marine ranching.

     

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