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ACOUSTIC TARGET STRENGTH OF FOUR MAJOR CHINESE CARPS USING THE KIRCHHOFF-RAY MODE MODEL

Authors
Wan, C. Y.Zhu, M. X.Peng, L.Li, J. Y.Cai, Z. Y.Kang, M.Zhang, H.
Issue Date
Jul-2025
Publisher
Szent Istvan University
Keywords
fishery acoustics; frequency; freshwater fish; pitch angle; fishery resources
Citation
Applied Ecology and Environmental Research, v.23, no.5, pp 9041 - 9054
Pages
14
Indexed
SCIE
SCOPUS
Journal Title
Applied Ecology and Environmental Research
Volume
23
Number
5
Start Page
9041
End Page
9054
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/80140
DOI
10.15666/aeer/2305_90419054
ISSN
1589-1623
1785-0037
Abstract
The four major Chinese carps (FMCCs)-silver carp (Hypophthalmichthys molitrix), bighead carp (Aristichthys nobilis), grass carp (Ctenopharyngodon idella), and black carp (Mylopharyngodon piceus)-are among the most commercially significant freshwater fish species in China. Accurate target strength (TS) measurements are essential for acoustic stock assessments, yet reliable TS data for FMCCs remain limited. This study utilized X-ray imaging to analyze 69 specimens across the four species, generating digital representations of their swim bladders and body morphologies. The Kirchhoff-ray mode (KRM) model was applied to estimate the TS of FMCCs and its variations based on sound wave frequency, pitch angle distributions, and morphological features. Results revealed that the TS was significantly affected by the pitch angle and varied greatly with frequency, TS was the highest within a pitch angle range of 65 degrees to 85 degrees, and the number of secondary TS peaks increased with higher frequencies. Regression equations for TS-body length (TS-BL) relationships, as well as standard b(20) formulations, were established for various pitch angle distributions (N[90 degrees, 5 degrees], N[90 degrees, 10 degrees], N[90 degrees, 20 degrees], and N[85 degrees, 15 degrees]) and frequencies (70, 120, 200 kHz). A comparison with previous ex situ experimental data highlighted some discrepancies between the results from the modeling approach and ex situ methods. This study provides fundamental data to support the stock assessment and species identification of FMCCs, contributing valuable insights for sustainable fisheries management.
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