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

石永闯; 朱清澄; 花传祥; 张衍栋

doi:10.3969/j.issn.0253-4193.2019.02.012

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

doi: 10.3969/j.issn.0253-4193.2019.02.012

1.
上海海洋大学海洋文化与法律学院, 上海 201306
2.
上海海洋大学海洋科学学院, 上海 201306;上海海洋大学国家远洋渔业工程技术研究中心, 上海 201306;大洋渔业资源可持续开发省部共建教育部重点实验室, 上海 201306)
3.
上海海洋大学海洋科学学院, 上海 201306

基金项目: 国家科技支撑计划（2013BAD13B05）。

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出版历程
- 收稿日期: 2018-02-27
- 修回日期: 2018-06-12

Evaluation of saury stick-held net performance between model test and on-sea measurements

1.
College of Marine Culture and Law, Shanghai Ocean University, Shanghai 201306, China
2.
College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China;National Engineering Research Center for Pelagic Fishery, Shanghai Ocean University, Shanghai 201306, China;Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China
3.
College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China

摘要

摘要: 舷提网是秋刀鱼（Cololabis saira）作业的主要方式之一，由于渔获率较高得到迅速推广。模型试验和海上实测是研究网具性能最为普遍的两种方式，两者试验结果的对比评估对于更好地测定网具作业性能具有十分重要的意义。根据2014年11-12月进行的秋刀鱼舷提网静水槽模型试验以及2015年7-10月和2016年6-10月在"鲁蓬远渔019"号船上进行的秋刀鱼舷提网网具性能测试试验测定的网具数据，采用多元线性回归方法，对网具的沉降深度和提升速度进行了标准化，并利用Bootstrap法分析了舷提网模型试验和海上实测试验结果。结果表明：（1）通过Bootstrap法得出标准化后的实测网最大沉降深度的均值分布范围为20.37~29.54 m，95%置信区间为21.76~28.13 m；模型网网具最大沉降深度均值的范围为26.42~37.58 m，95%置信区间为27.70~36.20 m。实测网网具中部最大沉降深度均值大约是模型网网具中部最大沉降深度均值的0.731~0.783倍。（2）通过Bootstrap法得出标准化后的实测网提升速度的均值分布范围为0.107~0.193 m/s，95%置信区间为0.111~0.191 m/s；模型网网具提升速度均值的范围为0.204~0.316 m/s，95%置信区间为0.207~0.312 m/s。实测网网具中部提升速度均值大约是模型网网具中部提升速度均值的0.591~0.611倍。（3）当假设海流速度为0时，求得实测网网具的平均沉降深度为29.14~41.21 m，约为模型网网衣中部最大沉降深度均值的0.751~0.807倍。（4）30 m和60 m水深的海流速度均对实物网网具中部的沉降深度有所影响，60 m水深的流速影响更加显著（P<0.05）。
- 秋刀鱼 /
- 舷提网 /
- 沉降深度 /
- 提升速度 /
- 多元回归
Abstract: The stick-held net is one of the main methods for the fishing of saury (Cololabis saira), which is being rapidly promoted due to the high catch rate. Model tests and on-sea surveys are the two most common ways to study the performance of the fishing gear. The comparative evaluation of the two test results is of great significance for the better determination of the net workability. Based on the model net test of stick-held net in November-December 2014 and the on-sea measurement of stick-held net at the "Lupengyuanyu 019" in July-October 2015 and June-October 2016, the method of multivariate linear regression is used to standardize the sinking depth and speed of the rising. Bootstrap method is used to analyze the experimental model of the rigging and the measured results at sea. The results show that:(1) The mean distribution range of normalized maximal sinking depth is 20.37-29.54 m and the 95% confidence interval is 21.76-28.13 m by Bootstrap method. The range of the maximum sinking depth of the model net is 26.42-37.58 m, 95% confidence interval is 27.70-36.20 m. The average net sinking depth of the measured network with the central part is about 0.731-0.783 times the average maximum sinking depth of the central part of the model network. (2) According to the Bootstrap method, the average velocity of the measured network is 0.107-0.193 m/s and the 95% confidence interval is 0.111-0.191 m/s. The range of the model network with the average speed of ascension is 0.204-0.316 m/s, 95% confidence interval is 0.207-0.312 m/s. Measured network with the central upgrade speed is about the average model network with the central upgrade speed of 0.591-0.611 times. (3) When the current velocity is assumed to be 0, the average sinking depth of the measured network is calculated as 29.14-41.21 m, which is about 0.751-0.807 times of the average maximum sinking depth of the model network. (4) Both the current velocity of 30 m and the depth of 60 m have an impact on the settlement depth of the middle part of the physical net, and the influence of the flow velocity at the depth of 60 m is more significant (P<0.05).
- saury (Cololabis saira) /
- stick-held net /
- sinking deep /
- rising speed /
- multiple regression analysis

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参考文献(30)

Watanabe Y. Larval production and mortality of Pacific saury, Cololabis saira, in the northwestern Pacific Ocean[J]. Fishery Bulletin, 1989, 87(3):601-613.

周应祺, 许柳雄, 何其渝. 渔具力学[M]. 北京:中国农业出版社, 2001. Zhou Yingqi, Xu Liuxiong, He Qiyu. Mechanics of Fishing Gear[M]. Beijing:China Agriculture Press, 2001.

贺波. 世界渔业捕捞装备技术现状及发展趋势[J]. 中国水产, 2012(5):43-45. He Bo. Present situation and development trend of world fishing equipment technology[J]. China Fisheries, 2012(5):43-45.

王明彦, 张勋, 徐宝生. 秋刀鱼Cololabis saira (Brevoort)舷提网渔业的现状及发展趋势[J]. 现代渔业信息, 2003, 18(4):3-7. Wang Mingyan, Zhang Xun, Xu Baosheng. The status and development trend of stick-held net fishery for Cololabis saira (Brevoort)[J]. Modern Fisheries Information, 2003, 18(4):3-7.

Hubbs C L, Wisner R L. Revision of the sauries (Pisces, Scomberesocidae) with descriptions of two new genera and one new species[J]. Fishery Bulletin, 1980, 77(3):521-566.

花传祥, 高玉珍, 朱清澄, 等. 基于耳石微结构的西北太平洋秋刀鱼(Cololabis saira)年龄与生长研究[J]. 海洋学报, 2017, 39(10):46-53. Hua Chuanxiang, Gao Yuzhen, Zhu Qingcheng, et al. Age and growth of Pacific saury (Cololabis saira) in the northwest Pacific Ocean based on statolith microstruture[J]. Haiyang Xuebao, 2017, 39(10):46-53.

许巍, 朱清澄, 张先存, 等. 西北太平洋秋刀鱼舷提网捕捞技术[J]. 齐鲁渔业, 2005, 22(10):43-45. Xu Wei, Zhu Qingcheng, Zhang Xiancun, et al. Bouke net fishing technology of Pacific saury in the Northwestern Pacific[J]. Shandong Fishery, 2005, 22(10):43-45.

张勋, 郁岳峰, 黄洪亮, 等. 秋刀鱼舷提网渔具设计的研究[J]. 浙江海洋学院学报:自然科学版, 2006, 25(1):40-45. Zhang Xun, Yu Yuefeng, Huang Hongliang, et al. The study on designing method of stick-held Net for Cololabis saira[J]. Journal of Zhejiang Ocean University:Natural Science, 2006, 25(1):40-45.

朱清澄, 张衍栋, 夏辉, 等. 秋刀鱼集鱼灯箱内不同灯位的照度实验比较研究[J]. 上海海洋大学学报, 2013, 22(5):778-783. Zhu Qingcheng, Zhang Yandong, Xia Hui, et al. Comparative study of different saury aggregation light experiment[J]. Journal of Shanghai Ocean University, 2013, 22(5):778-783.

汤振明, 黄洪亮, 石建高. 中国开发利用西北太平洋秋刀鱼资源的探讨[J]. 海洋科学, 2004, 28(10):56-59. Tang Zhenming, Huang Hongliang, Shi Jiangao. An approach to exploitation and utilization of Cololabis saira resource in west Pacific Ocean[J]. Marine Sciences, 2004, 28(10):56-59.

唐浩,许柳雄,王学昉. 金枪鱼围网模型试验结果与海上实测的比较评估[J]. 中国水产科学, 2013, 20(4):884-892. Tang Hao, Xu Liuxiong, Wang Xuefang. Evaluation of tuna purse seine performance between model test and on-sea measurements[J]. Journal of Fishery Sciences of China, 2013, 20(4):884-892.

许柳雄, 张敏. 渔具理论与设计学[M]. 北京:中国农业出版社, 2004. Xu Liuxiong, Zhang Min. The Design and Theory of Fishing Gear[M]. Beijing:China Agriculture Press, 2004.

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]. Fisheries Research, 2007, 88(1/3):109-119.

Kim Y H, Park M C. The simulation of the geometry of a tuna purse Seine under current and drift of purse seiner[J]. Ocean Engineering, 2009, 36(14):1080-1088.

Tian Yongjun, Ueno Y, Suda M. Decadal variability in the abundance of Pacific saury and its response to climatic/oceanic regime shifts in the northwestern subtropical Pacific during the last half century[J]. Journal of Marine Systems, 2004, 52(1/4):235-257.

石永闯, 朱清澄, 张衍栋, 等. 基于模型试验的秋刀鱼舷提网纲索张力性能研究[J]. 中国水产科学, 2016, 23(3):704-712. Shi Yongchuang, Zhu Qingcheng, Zhang Yandong, et al. Factors influencing the rope tension of saury stick-held lift nets[J]. Journal of Fishery Sciences of China, 2016, 23(3):704-712.

Radulovi D. The bootstrap of the mean for strong mixing sequences under minimal conditions[J]. Statistics & Probability Letters, 1996, 28(1):65-72.

薛毅, 陈立萍. 统计建模与R软件[M]. 北京:清华大学出版社, 2007. Xue Yi, Chen Liping. Statistical Modeling and R Software[M]. Beijing:Tsinghua University Press, 2007.

Death G. Boosted trees for ecological modeling and prediction[J]. Ecology, 2007, 88(1):243-251.

Elith J, Leathwick J R, Hastie T. A working guide to boosted regression trees[J]. Journal of Animal Ecology, 2008, 77(4):802-813.

R Development Core Team. R:a language and environment for statistical computing[Z]. Vienna, Austria:R Foundation for Statistical Computing, 2011.

Ridgeway G. Gbm:Generalized Boosted Regression Models[CP/OL]. Documentation on the R package "gbm" version 2.1.1, 2015. https://www.rdocumentation.org/packages/gbm/versions/2.1.1/topics/gbm.

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):1565-1571. Xu Liuxiong, Lan Guangcha, Ye Xuchang. Effect of the leadline weight and net setting speed on sinking speed of the tuna purse seine[J]. Journal of Fisheries of China, 2011, 35(10):1565-1571.

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. Tang Hao, Xu Liuxiong, Wang Xuefang, et al. Performance analysis of a tuna purse seine model[J]. Journal of Fishery Sciences of China, 2015, 22(3):563-573.

Shin J, Imai T, Fuwa S, et al. A model experiment on the characteristics of fishing gear of lampara net[J]. Nippon Suisan Gakkaishi, 1998, 64(5):759-767.

熊沢泰生, 胡夫祥, 渡部俊広, 等. カイト式表中層トロール網の開発[J]. 水産工学, 2010, 46(3):197-204. Kumazawa T, Hu Fuxiang, Watanabe T, et al. Development of a pelagic and/or mid water trawl with canvas kites[J]. Fish Engineering, 2010, 46(3):197-204.

周成, 许柳雄, 张新峰, 等. 金枪鱼围网沉降性能影响因子的多元回归分析[J]. 中国水产科学, 2013, 20(3):672-681. Zhou Cheng, Xu Liuxiong, Zhang Xinfeng, et al. Multiple regression analysis of the factors affecting the sinking per-formance of large-scale tuna purse seine[J]. Journal of Fishery Sciences of China, 2013, 20(3):672-681.

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. Xu Guoqiang, Xu Liuxiong, Zhou Cheng, et al. Measurement and analysis of rising characteristics of tuna purse seine leadline[J]. South China Fisheries Science, 2015, 11(3):22-28.

Xue Ying, Guan Lisha, Tanaka K, et al. Evaluating effects of rescaling and weighting data on habitat suitability modeling[J]. Fisheries Research, 2017, 188:84-94.

宋利明, 谢凯, 赵海龙, 等. 库克群岛海域海洋环境因子对长鳍金枪鱼渔获率的影响[J]. 海洋通报, 2017, 36(1):96-106. Song Liming, Xie Kai, Zhao Hailong, et al. Effects of environmental variables on catch rates of Thunnus alalunga in waters near Cook islands[J]. Marine Science Bulletin, 2017, 36(1):96-106.

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