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Application of information and communication technology and data sharing management scheme for the coastal fishery using real-time fishery information

机译:利用实时渔业信息在沿海渔业信息通信技术和数据共享管理方案中的应用

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In this paper, we propose an automatic computation and data sharing scheme to support management system in coastal fishery using real-time fishery information through information and communication technology (ICT). In Japan, several species of fisheries commodity have not been specified in Total Allowable Catch policy, causing a lot of confusion on fishery cooperatives and fishermen on how to set the catch limit. To deal with the problem, in the previous study, we developed catchable stock index, a method to estimate a certain extent of resource via the swept area method. However, as the calculation of the index was computed on a GIS software manually, it was very time consuming, costly and unable to give an immediate evaluation of the fishing operation. This study aims to support management system in a coastal fishery through the development of automatic catchable stock index algorithm. In this study, ICT was utilized to obtain and transmit the real-time data sharing of fishery information as well as to distribute the computation results to the fishermen and fishery cooperative. The data used were vessels' trajectories and catch records, which included the start/end time and catch amount of each fishing operation. The catchable stock index was automatically computed in an originally developed cloud computing service. We have conducted the test run of the present method in sea cucumber dredge-net fishery on the coast of Rumoi City, Hokkaido, Japan. Data were collected from the entire vessels in Rumoi (16 vessels) during the 2012 and 2013 fishing seasons. The results were returned to the fishermen via the Internet each day during the fishing season, therefore, fishermen were able to immediately evaluate their catch. The estimated catchable stock index for the 2012 and 2013 seasons was 85.5 tons and 923 tons, respectively. By referring to the present system, fishermen voluntarily stopped the 2012 and 2013 fishing season several weeks earlier than their initial schedule to avoid overfishing. Moreover, in the previous study, the spacing of the grid has been decided empirically, but in this study, the adequate grid size could be evaluated due to the fast computation through ratio of the area of a grid cell to the total dredged area. In light of the evidence, the present automatic algorithm provided useful information for supporting the self-management of this coastal fishery. 2015 Elsevier Ltd. All rights reserved.
机译:在本文中,我们提出了一种自动计算和数据共享方案,以通过信息和通信技术(ICT)使用实时渔业信息来支持沿海渔业管理系统。在日本,“总允许捕捞量”政策中未指定几种渔业商品,这使渔业合作社和渔民在如何设定捕捞限度方面产生了很多困惑。为了解决这个问题,在以前的研究中,我们开发了可捕获的股票指数,这是一种通过后掠面积法估算一定程度资源的方法。但是,由于指数的计算是在GIS软件上手动计算的,因此非常耗时,昂贵且无法立即评估捕捞作业。本研究旨在通过开发自动可捕获种群指数算法来支持沿海渔业管理系统。在这项研究中,ICT被用于获取和传输渔业信息的实时数据共享,并将计算结果分发给渔民和渔业合作社。所使用的数据是船只的轨迹和渔获记录,其中包括每次捕鱼作业的开始/结束时间和渔获量。可捕获的股票指数是在最初开发的云计算服务中自动计算的。我们已经在日本北海道留萌市海岸的海参挖泥网渔业中进行了本方法的试验。在2012和2013捕鱼季节期间,从Rumoi的全部船只(16艘)中收集了数据。在捕捞季节期间,每天都会通过Internet将结果返回给渔民,因此,渔民能够立即评估其渔获量。 2012年和2013年季节的估计可捕捞库存指数分别为85.5吨和923吨。通过参考目前的制度,渔民比其原定计划提前数周自愿停止了2012年和2013年的捕鱼季节,以避免过度捕捞。此外,在先前的研究中,网格的间距是凭经验确定的,但是在此研究中,由于可以通过快速计算网格单元的面积与总疏dr面积之比来评估适当的网格大小。根据证据,本自动算法为支持这种沿海渔业的自我管理提供了有用的信息。 2015 Elsevier Ltd.保留所有权利。

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