DOI QR코드

DOI QR Code

Applying Fishing-gear Simulation Software to Better Estimate Fished Space as Fishing Effort

  • Lee, Ji-Hoon (Institute of Low-Carbon Marine Production Technology, Pukyong National University) ;
  • Lee, Chun-Woo (Division of Marine Production System Management, Pukyong National University) ;
  • Choe, Moo-Youl (Department of Fisheries Physics, Pukyong National University) ;
  • Lee, Gun-Ho (Aquaculture Industry Division, West Sea Fisheries Research Institute, National Fisheries Research and Development Institute)
  • Received : 2011.02.18
  • Accepted : 2011.05.16
  • Published : 2011.06.30

Abstract

Modeling fishing-gear systems is essential to better understand the factors affecting their movement and for devising strategies to control movement. In this study, we present a generalized mathematical modeling methodology to analyze fishing gear and its various components. Fishing gear can be divided into a finite number of elements that are connected with flexible lines. We use an algorithm to develop a numerical method that calculates precisely the shape and movement of the gear. Fishinggear mathematical models have been used to develop software tools that can design and simulate dynamic movement of novel fishing-gear systems. The tool allowed us to predict the shape and motion of the gear based on changes in operation and gear design parameters. Furthermore, the tool accurately calculated the swept volume of towed gear and the surrounding volume of purse-seine gear. We analyzed the fished volume for trawl and purse-seine gear and proposed a new definition of fishing effort, incorporating the concept of fished space. This method may be useful for quantitative fishery research, which requires a good understanding of the selectivity and efficiency of fishing gear used in surveys.

Keywords

References

  1. Bessonneau JS and Marichal D. 1998. Study of the dynamics of submerged supple nets (application to trawls). Ocean Eng 25, 563-583. https://doi.org/10.1016/S0029-8018(97)00035-8
  2. Food and Agriculture Organization of the United Nations. 1993. Annex 2. Fishing Effort Measures by Gear Categories. FAO, Rome, IT, pp.1-122.
  3. Foster JJ, Campbell CM and Sabin GCW. 1981. The fish catching process relevant to trawls. Can Spec Publ Fish Aquat Sci 58, 229-246.
  4. Fuwa S. 1989. Fish herding model by ground ropes considering reaction of fish. Nippon Suisan Gakkaishi 55, 1767-1771. https://doi.org/10.2331/suisan.55.1767
  5. Geradin M and Rixen D. 1997. Mechanical Vibrations: Theory and Application to Structural Dynamycs. Wiley, New York, US, pp. 367-411.
  6. Kim HY, Lee CW, Kim HS and Cha BJ. 2005. Verification of mathematical model on purse seine gear through sea trials and dynamic simulation. Cont Theor Fish Gears Relat Mar Syst 4, 27-40.
  7. Lee CW. 2002. Dynamic analysis and control technology in a fishing gear system. Fish Sci 68, 1835-1840. https://doi.org/10.2331/fishsci.68.sup2_1835
  8. Lee CW and Cha BJ. 2002. Dynamic simulation of a midwater trawl system's behavior. Fish Sci 68, 1865-1868. https://doi.org/10.2331/fishsci.68.sup2_1865
  9. Lee CW, Lee JH, Cha BJ, Kim HY and Lee JH. 2005. Physical modeling for underwater flexible systems dynamic simulation. Ocean Eng 32, 331-347. https://doi.org/10.1016/j.oceaneng.2004.08.007
  10. Lee JH. 2009. Experimental investigation and numerical methods in analyzing the ocean current displacement phenomena of longlines. Ph.D. Dissertation, Norwegian University of Science and Technology, Trondheim, NO.
  11. Lee JH, Karlsen L and Lee CW. 2008. A method for improving the dynamic simulation efficiency of underwater flexible structures by implementing nonactive points in modelling. ICES J Mar Sci 65, 1552-1558. https://doi.org/10.1093/icesjms/fsn126
  12. Mangel JC, Alfaro-Shigueto J, Van Waerebeek K, Cáceres C, Bearhop S, Witt MJ and Godley BJ. 2010. Small cetacean captures in Peruvian artisanal fisheries: high despite protective legislation. Biol Conserv 143, 136-143. https://doi.org/10.1016/j.biocon.2009.09.017
  13. National Fisheries Research and Development Institute. 1970. Korean Fishing Gear & Illustration. NFRDI, Busan, KR, pp. 47-124.
  14. Somerton DA. 2004. Do Pacific cod (Gadus macrocephalus) and walleye pollock (Theregra chalcogramma) lack a herding response to the doors, bridles, and mudclouds of survey trawls. ICES J Mar Sci 61, 1186-1189. https://doi.org/10.1016/j.icesjms.2004.06.003
  15. Takagi T, Suzuki K and Hiraishi T. 2002. Modeling of net for calculation method of dynamic fishing net shape. Fish Sci 68, 1857-1860. https://doi.org/10.2331/fishsci.68.sup2_1857
  16. Takagi T, Shimizu T, Suzuki K, Hiraish T and Yamamoto K. 2004. Validity and layout of "NaLA": a net configuration and loading analysis system. Fish Res 66, 235-243. https://doi.org/10.1016/S0165-7836(03)00204-2
  17. Tsukrov I, Eroshkin O, Fredriksson D, Swift MR and Celikkol B. 2002. Finite element modeling of net panels using a consistent net element. Ocean Eng 30, 251-270.
  18. Vincent B. 2001. Relation swept volume/towing speed of a survey bottom trawl. In: ICES Working Group on Fishing Technology and Fish Behaviour. International Council for the Exploration of the Sea, Copenhagen, DK.
  19. Vincent B and Marichal D. 2005. Modelling the dynamics of trawl doors in a trawl gear. Cont Theor Fish Gears Relat Mar Syst 4, 71-79.
  20. Wakaba L and Balachandar S. 2007. On the added mass force at finite Reynolds and acceleration numbers. Theor Comput Fluid Dyn 21, 147-153. https://doi.org/10.1007/s00162-007-0042-5
  21. Winger PD, Walsh SJ, He P and Brown JA. 2004. Simulating trawl herding in flatfish: the role of fish length in behaviour and swimming characteristics. ICES J Mar Sci 61, 1179-1185. https://doi.org/10.1016/j.icesjms.2004.07.015