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基于北斗卫星船位数据分析象山拖网捕捞时空特征
  • ISSN号:1002-6819
  • 期刊名称:农业工程学报
  • 时间:2015
  • 页码:151-156
  • 期号:07
  • 便笺:11-2047/S
  • 分类:S975[农业科学—捕捞与储运;农业科学—水产科学] S127[农业科学—农业基础科学]
  • 作者地址:中国水产科学研究院东海水产研究所农业部东海与远洋渔业资源开发利用重点实验室;上海海洋大学海洋科学学院;
  • 作者机构:[1]中国水产科学研究院东海水产研究所农业部东海与远洋渔业资源开发利用重点实验室,上海200090, [2]上海海洋大学海洋科学学院,上海201306
  • 相关基金:中央级公益性科研院所基本科研业务费专项资金项目(东海水产研究所2014T13);公益性行业(农业)科研专项(201203018) 致谢:上海普适导航技术有限公司、北斗星通信息服务有限公司提供北斗船位数据,宁波市海洋与渔业局李蔚然、冯辉强、李永剑、张强,以及象山县海洋与渔业局的老师提供相关业务咨询,东海水产研究所严利平研究员,张寒野、刘勇、冯春雷副研究员等为本文撰写提出了积极建议,谨此致谢!
中文摘要:

为了快速大范围掌握捕捞努力量时空分布特点,借助北斗船位数据采用统计方法获取拖网捕捞状态的速度阈值,根据阈值判断捕捞状态点,捕捞状态点之间时间组成累计捕捞时间,累计捕捞时间与功率的乘积作为捕捞努力量,根据捕捞努力量分析拖网捕捞时空特征。2013年象山在近海拖网捕捞努力量从时间上可以分为3个时间段,即2-5月、6-9月、10-12月与1月。从空间来看捕捞努力量以象山附近的渔场为中心由高到低向外扩展,形成近似的同心圆。从拖网捕捞时间来看分为全年近海渔场、春秋季近海渔场、春秋冬外海渔场、春季或秋季周边外缘渔场。利用北斗数据提取方法计算6个网次时长,并与手工出海调查记录的时长比较,两者相对误差在5%以内。

英文摘要:

More than fifty thousand fishing vessels have installed the terminal unit of the Beidou satellite positing system since the Ministry of Agriculture of China started to construct fishing vessels monitoring system in Nansha islands in 2006. This system mainly aims to manage vessel fishing, fishery safety and emergency rescue. The data sent by the terminal unit have a temporal resolution of 3 minutes, and a spatial resolution of 10 meters. Thus, after carrying out these fishing services almost for 9 years, the system has recorded billions of historical cruising data for each vessel, such as time, position, speed, direction and rate of turn. These data can be analyzed deeply by big data mining technology. To deeply mine the fishery information from the historical data, the cooperation has been carried out between East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences (ECSFRI) and several Beidou operators. Performing statistical computations for traditional fishing effort takes much time and effort, and the macro fishing intensity cannot be accessed immediately. Through the Beidou satellite vessel position monitoring system, the position, course, speed and other information of vessels can be got and used to data mining. The information of every point position of trawlers includes speed, course, time and other information. With the information, the state of trawlers can be determined. In this paper, the speed threshold of each vessel's fishing condition is obtained by the statistics of navigational speed. And fishing state points can be judged by combining the speed thresholds. When the speed and course are in the range of threshold value, the trawler is in the state of fishing. The fishing effort in the grid is calculated based on the cumulative fishing time in fishing state points of each vessel. There may be many trawlers in one fishing grid. The work of one trawler in fishing is divided into many hauls. In general, a haul lasts a few hours. When a haul is over, the next haul will get

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期刊信息
  • 《农业工程学报》
  • 北大核心期刊(2011版)
  • 主管单位:中国科学技术协会
  • 主办单位:中国农业工程学会
  • 主编:朱明
  • 地址:北京朝阳区麦子店街41号
  • 邮编:100125
  • 邮箱:tcsae@tcsae.org
  • 电话:010-59197076 59197077 59197078
  • 国际标准刊号:ISSN:1002-6819
  • 国内统一刊号:ISSN:11-2047/S
  • 邮发代号:18-57
  • 获奖情况:
  • 百种中国杰出学术期刊,中国精品科技期刊,中国科协精品科技期刊工程项目期刊,RCCSE中国权威学术期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),英国农业与生物科学研究中心文摘,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),英国食品科技文摘,中国北大核心期刊(2000版)
  • 被引量:93231