DOI QR코드

DOI QR Code

A study on towing power of trawlers and a proper scale of trawl gears

트롤선 유효마력과 어구의 적정 규모에 대한 연구

  • LEE, Chun-Woo (Department of Marine Production System Management, Pukyong National University) ;
  • CHOI, Kyu-Suk (Department of Fisheries Physics & system, Pukyong National University) ;
  • JANG, Yong-Suk (Department of Fisheries Physics & system, Pukyong National University)
  • 이춘우 (부경대학교 해양생산시스템관리학부) ;
  • 최규석 (부경대학교 수산물리학과) ;
  • 장용석 (부경대학교 수산물리학과)
  • Received : 2021.01.18
  • Accepted : 2021.02.17
  • Published : 2021.02.28

Abstract

Trawl fishing is a fishing method in which a large, motorized trawler tows a bag-shaped net to catch fish living at the bottom or middle layers. For a trawl gear, it is of utmost importance to select the gear size and towing speed suitable for the effective horsepower (EHP) of the trawler in the design stage. In general, the power required to move an object is proportional to the product of the object speed and resistance; therefore, there are various choices for the gear resistance and towing speed given the effective horsepower of the trawler. However, there have been few studies on the gear design of an appropriate scale for the towing speed given the effective horsepower of the trawler. In this study, the resistance and shape of three types of midwater trawl gears were analyzed using SimuTrawl, a computer simulation tool. In addition, the relationship between the propulsion force and speed of the ship was clarified when the size and effective horsepower of the trawler were determined. Finally, we suggested the relationship between the towing speed and the resistance of the gear when the trawler towed the net was investigated, and a specific method of selecting the gear size according to the towing speed.

Keywords

References

  1. Cha BJ, Lee CW, Lee JH and Kim HY. 2002. Hydrodynamic simulation of midwater trawl system behavior. J Korean Soc Fish Technol 38, 164-171. https://doi.org/10.3796/KSFT.2002.38.2.164.
  2. Cha BJ. 2003. Numerical simulations on the dynamic characteristics of the trawl system. Ph.D. Thesis, Pukyong National University, Korea. 1-90
  3. Kim DA. 1997. Flow resistance and modeling rule of fishing nets, 5. Total resistance of bottom trawl nets subjected simultaneously to the water flow and the bottom friction. J Korean Soc Fish Technol 46, 313-323.
  4. Kim DJ, Kim DA, Kim TH, Shin HH, Jang DJ and Cha BJ. 2011. Flow resistance of bottom trawl nets and scale effect in their model experiments. J Korean Soc Fish Technol 47, 281-289. https://doi.org/10.3796/KSFT.2011.47.4.281
  5. Kim HY, Lee CW, Shin JK, Kim HS, Cha BJ and Lee GH. 2007. Dynamic simulation of the behavior of purse seine gear and sea-trial verification. Fish Res 88, 109-119. https://doi.org/10.1016/j.fishres.2007.08.007.
  6. Kim IJ and Lee CW. 1999. Analysis of the net mouth shape for a midwater trawl gear. J Korean Soc Fish Technol 35, 118-128.
  7. Kim JE, Lee JH, Park SH, Lee CW and Park SB. 2017. Performance analysis of a low drag generated midwater trawl using the model experiments and the numerical analysis. J Korean Soc Fish Technol 53, 115-125. https://doi.org/10.3796/ksft.2017.53.2.115
  8. Lee CW. 1995. Depth control of a midwater trawl gear using fuzzy logic. Fish Res 24, 311-320. https://doi.org/10.1016/0165-7836(95)00388-2.
  9. Lee CW and Lee JH. 2000. Modeling of a midwater system with respect to the vertical movements. Fish Sci 66, 851-857. https://doi.org/10.1046/j.1444-2906.2000.00138.x.
  10. Lee CW, Lee JH and Kim IJ. 2000. Application of a fuzzy controller to depth control of a midwater trawl net. Fish Sci 66, 858-862. https://doi.org/10.1046/j.1444-2906.2000.00139.x.
  11. 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.
  12. Lee CW, Lee JH, Choi MY and Lee GH. 2010. Design and Simulation Tools for Moored Underwater Flexible Structures. Kor J Fish Aquat Sci 43, 159-168. https://doi.org/10.5657/kfas.2010.43.2.159.
  13. Lee JH, Karlsen L and Lee CW. 2008. A method for improving the dynamic simulation efficiency of underwater flexible structures by implementing non-active points in modelling. ICES J Mar Sci 65, 1552-1558. https://doi.org/10.1093/icesjms/fsn126.
  14. Park SB and Lee CW. 2019. Fuzzy control system for three-dimensional towing trajectory of trawl gear. Ocean Eng 188, 106297. https://doi.org/10.1016/j.oceaneng.2019.106297.
  15. Sun XF, Yin Y, Jin YC, Zhang XY and Zhang XF. 2011. The modeling of signle-boat, mid-water trawl systems for fishing simulation. Fish Res 109, 7-15. https://doi.org/10.1016/j.fishres.2010.12.027.
  16. Tang MF, Dong GH, Xu TJ, Zhao YP and Bi CW. 2017. Numerical simulation of the drag force on the trawl net. Turkey J Fish Aquat Sci 17, 1219-1230.
  17. Wang WK. 2005. Experimental study on the estimating effective horse power of a bottom trawl ship. J Korean Soc Fish Technol 41, 227-233. https://doi.org/10.3796/ksft.2005.41.3.227.