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Volume 17 Issue 4
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LI Jie, ZHANG Peng, WANG Teng, YAN Lei, YANG Bingzhong, CHEN Zuozhi. A study on settlement performance of falling-net based on GAM[J]. South China Fisheries Science, 2021, 17(4): 74-81. DOI: 10.12131/20210070
Citation: LI Jie, ZHANG Peng, WANG Teng, YAN Lei, YANG Bingzhong, CHEN Zuozhi. A study on settlement performance of falling-net based on GAM[J]. South China Fisheries Science, 2021, 17(4): 74-81. DOI: 10.12131/20210070
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A study on settlement performance of falling-net based on GAM

  • South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences/Key Laboratory of Open-Sea Fishery Development, Ministry of Agriculture and Rural Affairs, Guangzhou 510300, China

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  • Received Date: February 28, 2021
  • Revised Date: April 08, 2021
  • Accepted Date: April 19, 2021
  • Available Online: April 22, 2021
    Graphical Abstract
    • Abstract
  • In order to comprehensively understand the settlement performance of falling-net, as well as to provide references for the development of falling-net model test and improvement of fishing gear and method, we conducted sea trials in the central-southern South China Sea in March 2016, and studied the settlement performance of falling-net based on polynomial regression and Generalized Additive Model (GAM). The results show that: 1) Free settlement was a more critical factor affecting the total settlement depth. 2) 90.0–119.9 s was an appropriate free settlement time based on the settlement performance of the falling-net. 3) The free settlement speed first increased in a short time and then decreased, the maximum value occurring at 10th s. The damping settlement speed remained relatively stable in the first 50 s with little change, but then decreased rapidly. 4) Free settlement time (Tf), wind speed (Sw), and direction angle between wind and current (α) had significant influences on free settlement depth. Tf, Sw, drift speed of fishing boat (Sb) and α had significant influences on damping settlement depth. The study suggests that: 1) The influences of Sw and α on free settlement depth and damping settlement depth are complex and non-linear, and may affect the settlement of falling-net through waves and changing the relative position between fishing boat and falling-net. 2) Sb has a significant influence on damping settlement depth. This may be caused by the fact that Sb affects the degree of closure of net-mouth and hauling of purse line.
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  • [1]
    张鹏, 杨吝, 张旭丰, 等. 南海金枪鱼和鸢乌贼资源开发现状及前景[J]. 南方水产, 2010, 6(1): 68-74.
    [2]
    杨吝, 张旭丰, 张鹏, 等. 南海区海洋小型渔具渔法[M]. 广州: 广东科技出版社, 2007: 103-115.
    [3]
    张鹏, 曾晓光, 杨吝, 等. 南海区大型灯光罩网渔场渔期和渔获组成分析[J]. 南方水产科学, 2013, 9(3): 74-79. doi: 10.3969/j.issn.2095-0780.2013.03.012
    [4]
    冯波, 李忠炉, 侯刚, 等. 南海大眼金枪鱼和黄鳍金枪鱼生物学特性及其分布[J]. 海洋与湖沼, 2014, 45(4): 886-894. doi: 10.11693/hyhz20130600081
    [5]
    张鹏, 陈森, 李杰, 等. 灯光罩网渔船兼作金枪鱼延绳钓捕捞试验[J]. 南方水产科学, 2016, 12(4): 110-116. doi: 10.3969/j.issn.2095-0780.2016.04.014
    [6]
    许柳雄, 王敏法, 叶旭昌, 等. 金枪鱼围网沉降特性[J]. 中国水产科学, 2011, 18(5): 1161-119.
    [7]
    晏磊, 张鹏, 杨吝, 等. 南海灯光罩网沉降性能研究[J]. 上海海洋大学学报, 2014, 23(1): 146-153.
    [8]
    唐浩, 许柳雄, 周成, 等. 基于GAM模型研究金枪鱼围网沉降性能影响因子[J]. 水产学报, 2013, 37(6): 944-950.
    [9]
    唐浩, 许柳雄, 王学昉, 等. 两种典型渔法金枪鱼围网网具性能差异[J]. 水产学报, 2015, 39(2): 275-283.
    [10]
    WIDAGDO A, LEE C W, LEE J. Calculating and measuring the sinking performance of small-scale purse seine gear in Java, Indonesia, to improve the gear[J]. Fish Aquat Sci, 2015, 18(2): 221-227.
    [11]
    徐国强, 许柳雄, 周成, 等. 金枪鱼围网下纲提升特性的研究[J]. 南方水产科学, 2015, 11(3): 22-28. doi: 10.3969/j.issn.2095-0780.2015.03.004
    [12]
    TANG H, XU L X, ZHOU C, et al. The effect of environmental variables, gear design and operational parameters on sinking performance of tuna purse seine setting on free-swimming schools[J]. Fish Res, 2017, 196: 151-159. doi: 10.1016/j.fishres.2017.08.006
    [13]
    许柳雄, 兰光查, 叶旭昌, 等. 下纲重量和放网速度对金枪鱼围网下纲沉降速度的影响[J]. 水产学报, 2011, 35(10): 1563-1571.
    [14]
    ZHOU C, XU L X, HU F X, et al. The kinetic deformation of tuna purse seine: a model experiment on different shooting patterns at uniform current[J]. Fish Res, 2015, 169: 18-25. doi: 10.1016/j.fishres.2015.04.008
    [15]
    李灵智, 黄洪亮, 陈帅, 等. 基于静水池模型试验的金枪鱼围网沉降性能研究[J]. 中国海洋大学学报, 2015, 45(3): 48-53.
    [16]
    唐浩, 许柳雄, 王学昉, 等. 基于网具模型试验的金枪鱼围网性能分析[J]. 中国水产科学, 2015, 22(3): 563-573.
    [17]
    TANG H, XU L X, HU F X, et al. Effect of mesh size modifications on the sinking performance, geometry and forces acting on model purse seine nets[J]. Fish Res, 2019, 211: 158-168. doi: 10.1016/j.fishres.2018.11.018
    [18]
    LEE C W, LEE J H, CHA B J, et al. Physical modeling for underwater flexible systems dynamic simulation[J]. Ocean Eng, 2005, 32(3/4): 331-347.
    [19]
    KIM H Y, LEE C W, SHIN J K, et al. Dynamic simulation of the behavior of purse seine gear and sea-trial verification[J]. Fish Res, 2007, 88(1/2/3): 109-119. doi: 10.1016/j.fishres.2007.08.007
    [20]
    HOSSEINI S A. The sinking performance of the tuna purse seine gear with large-meshed panels using numerical method[J]. Fish Sci, 2011, 77(4): 503-520. doi: 10.1007/s12562-011-0371-6
    [21]
    RIZIOTIS V A, KATSAOUNIS G M, PAPADAKIS G, et al. Numerical and experimental analysis of the hydroelas behavior of purse seine nets[J]. Ocean Eng, 2013, 58: 88-105. doi: 10.1016/j.oceaneng.2012.09.022
    [22]
    ZHOU C, XIU L X, ZHANG X F, et al. Application of numerical simulation for analysis of sinking characteristics of purse seine[J]. J Ocean Univ China, 2015, 14(1): 135-142. doi: 10.1007/s11802-015-2384-8
    [23]
    李杰, 晏磊, 陈森, 等. 灯光罩网网口沉降与闭合性能研究[J]. 南方水产科学, 2015, 11(5): 117-124. doi: 10.3969/j.issn.2095-0780.2015.05.014
    [24]
    李杰, 晏磊, 陈森, 等. 基于不同配重的罩网沉降性能研究[J]. 南方水产科学, 2016, 12(5): 16-22. doi: 10.3969/j.issn.2095-0780.2016.05.003
    [25]
    李杰, 晏磊, 杨炳忠, 等. 罩网自由沉降过程的数值模拟研究[J]. 南方水产科学, 2017, 13(4): 105-114. doi: 10.3969/j.issn.2095-0780.2017.04.013
    [26]
    晏磊, 李杰, 杨炳忠, 等. 光诱罩网沉降性能对鸢乌贼渔获率的影响[J]. 南方水产科学, 2018, 14(4): 10-16. doi: 10.3969/j.issn.2095-0780.2018.04.002
    [27]
    ZAGAGLIA C R, LORENZZETTI J A, STECH J L. Remote sensing data and longline catches of yellowfin tuna (Thunnus albacares) in the equatorial Atlantic[J]. Remote Sens Environ, 2004, 93(1/2): 267-281.
    [28]
    CHIU T Y, CHIU T S, CHEN C S. Movement patterns determine the availability of Argentine shortfin squid Illex argentinus to fisheries[J]. Fish Res, 2017, 193: 71-80. doi: 10.1016/j.fishres.2017.03.023
    [29]
    杨胜龙, 范秀梅, 伍玉梅, 等. 基于GAM模型的阿拉伯海鲐鱼渔场分布与环境关系[J]. 生态学杂志, 2019, 38(8): 2466-2470.
    [30]
    石永闯, 朱清澄, 花传祥, 等. 基于海上实测的秋刀鱼舷提网沉降和提升性能研究[J]. 海洋通报, 2018, 37(4): 459-467. doi: 10.11840/j.issn.1001-6392.2018.04.012
    [31]
    武胜男, 陈新军, 刘祝楠. 基于GAM的西北太平洋日本鲭资源丰度预测模型建立[J]. 海洋学报, 2019, 41(8): 36-42.
    [32]
    石永闯, 朱清澄, 花传祥, 等. 秋刀鱼舷提网渔具性能模型试验与海上实测结果的比较评估[J]. 海洋学报, 2019, 41(2): 123-133.
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