음향산란층의 식별을 위한 에코그램 분석 방법의 비교
Comparison of Echogram Analysis Methods for Evaluating the Sound-scattering Layer
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초록
This study compared the density of fish determined using three different echogram methods: the frequency-difference, time variable, and threshold modification methods. An acoustic survey was conducted off the coast of Jeju Island after sunset. Data at 38 and 120 kHz frequencies were collected using a commercial fishing vessel. As a reference point, the value of ΔMVBS120-38kHz that distinguished fish from zooplankton using the 38 and 120 kHz frequencies was set at < 2 dB. The estimated density of fish along the survey line was 0.1-30.4, 0.1-64.3, and 0.1-51.7 m2/ nmi2 using the frequency difference, time variable threshold, and threshold modification methods, respectively. The results of this study constitute basic research for estimating fish densities.
Abstract
This study compared the density of fish determined using three different echogram methods: the frequency-difference, time variable, and threshold modification methods. An acoustic survey was conducted off the coast of Jeju Island after sunset. Data at 38 and 120 kHz frequencies were collected using a commercial fishing vessel. As a reference point, the value of ΔMVBS120-38kHz that distinguished fish from zooplankton using the 38 and 120 kHz frequencies was set at < 2 dB. The estimated density of fish along the survey line was 0.1-30.4, 0.1-64.3, and 0.1-51.7 m2/ nmi2 using the frequency difference, time variable threshold, and threshold modification methods, respectively. The results of this study constitute basic research for estimating fish densities.
참고문헌 (17)
- De Robertis A, "A post-processing technique to estimate the signal-to noise ratio and remove echosounder background noise", ICES J Mar Sci, 64, pp.1282~1291 (2007)[DOI]
- J Horne, "Multi-frequency estimates of fish abundance: constraints of rather high frequencies", ICES Journal of Marine Science, 56(2), pp.184~199 (1999), Oxford University Press (OUP)[DOI]
- 황보규, "수중촬영조사법과 음향자원조사법을 활용한 울주군 연안 소규모 바다목장 해역의 어류 군집 조사", 한국어업기술학회지, 51(1), pp.16~25 (2015), 한국어업기술학회[DOI]
- 황두진, "어군탐지기를 이용한 인공어초 주변의 어군량 추정", 한국수산과학회지, 37(3), pp.249~254 (2004), 한국수산과학회
- 강돈혁, "제주도 서쪽 연안에서 음향자원 조사를 이용한 저층 어군의 시.공간 분포", Ocean and Polar Research, 30(2), pp.181~191 (2008), 한국해양과학기술원
- 강명희, "시간변량역치를 이용한 브라질 Dom Helvecio호수의 어류와 플랑크톤 생물의 음향적인 구분을 위한 기법", 한국어업기술학회지, 48(4), pp.495~503 (2012), 한국어업기술학회[DOI]
- M Kang, "Effective and accurate use of difference in mean volume backscattering strength to identify fish and plankton", ICES Journal of Marine Science, 59(4), pp.794~804 (2002), Oxford University Press (OUP)[DOI]
- 김주일, "한국 진해만 대구자치어 (Gadus macrocephalus) 현존량 추정을 위한 음향자원조사기법의 적용", 한국어업기술학회지, 49(3), pp.270~281 (2013), 한국어업기술학회[DOI]
- 이형빈, "조업선에서 수집한 음향자료에 대한 잡음 제거 기법에 관한 연구", 한국어업기술학회지, 51(3), pp.340~347 (2015), 한국어업기술학회
- 이형빈, "수산음향기법을 이용한 아산만 멸치(Engraulis japonicus)와 기타어군의 분포 및 현존량 추정", 한국수산과학회지, 47(5), pp.674~681 (2014), 한국수산과학회
- 이형빈, "음향과 저층 트롤 기법을 이용한 남해 저층 어군의 주·야 밀도분포 조사", 한국수산과학회지, 48(5), pp.798~804 (2015), 한국수산과학회
- 이재봉, "제주바다목장해역에서 수중음향과 어획데이터를 활용한 저층 어류의 현존량 추정", 한국어업기술학회지, 48(2), pp.128~136 (2012), 한국어업기술학회[DOI]
- Denise R. McKelvey, "Discriminant Classification of Fish and Zooplankton Backscattering at 38 and 120 kHz", Transactions of the American Fisheries Society, 135(2), pp.488~499 (2006), Informa UK Limited[DOI]
- KAZUSHI MIYASHITA, "Acoustic identification of isada krill, Euphausia pacifica Hansen, off the Sanriku coast, north-eastern Japan", Fisheries Oceanography, 6(4), pp.266~271 (1998), Wiley-Blackwell[DOI]
- 박준성, "음향 신호에 내재된 잡음의 효율적인 소거 방법", 한국어업기술학회지, 51(3), pp.432~440 (2015), 한국어업기술학회
- Simmonds J, "Fisheries acoustic theory and practice", pp.176~202 (2005), Blackwell Science
- A noise removal algorithm for acoustic data with strong interference based on post-processing techniques, "Wang X", 11~, pp.CCAMLR SG-ASAM-15 (2015), 02