远洋渔场基础性长期性监测调查与数据管理
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摘要
开展远洋渔业基础性长期性调查监测工作,对分析资源变化与环境关系,掌握渔场时空动态,制定渔业政策等都有重要意义。选择北太平洋渔场、中西太平洋渔场、东南太平洋渔场、西南大西洋渔场、中大西洋渔场等、南极磷虾探捕渔场、南海鸢乌贼渔场7个渔场,针对南极磷虾(Euphausia superba)、头足类(Cephalopod)、秋刀鱼(Cololabis saira Brevoort)、鲐鱼(Scomber japonicus)等渔业资源,由多家单位共同参与,进行长期调查监测,以获取渔场环境、渔船装备、鱼种组成、捕捞状况、生物学测定等数据,并构建对象关系模型管理数据。平台定义了远洋监测数据交换标准和系统安全保障体系,设计了基础数据层、逻辑交换层、应用服务层三层架构提供服务,为进一步的数据分析和展示建立基础。
The basic long-term survey and monitoring of ocean fisheries is of great significance for analyzing the relationship between resource changes and environment,mastering the temporal and spatial dynamics of fishing grounds,and formulating fishery policies. Seven main fishing grounds were selected in this study,including the North Pacific fishing ground,the West Pacific fishing ground,the Southeast Pacific fishing ground,the Southwest Atlantic fishing ground,the Atlantic fishing ground and so on. The Antarctic krill,squid,mackerel pike,chub mackerel fishery resources were monitored. Many organizations joined the study together. Through the investigation and monitoring work, fishing ground environment, fishing vessel equipment,fish species composition,fishing status,biological determination data were obtained. The data were analyzed by building an object relationship model. The platform defined the data exchange standard and system safety assurance mechanism of ocean monitoring. Three layers were built to provide services,including basic data layer,logical exchange layer and application service layer. The foundation was built for further data analysis and display.
The basic long-term survey and monitoring of ocean fisheries is of great significance for analyzing the relationship between resource changes and environment,mastering the temporal and spatial dynamics of fishing grounds,and formulating fishery policies. Seven main fishing grounds were selected in this study,including the North Pacific fishing ground,the West Pacific fishing ground,the Southeast Pacific fishing ground,the Southwest Atlantic fishing ground,the Atlantic fishing ground and so on. The Antarctic krill,squid,mackerel pike,chub mackerel fishery resources were monitored. Many organizations joined the study together. Through the investigation and monitoring work, fishing ground environment, fishing vessel equipment,fish species composition,fishing status,biological determination data were obtained. The data were analyzed by building an object relationship model. The platform defined the data exchange standard and system safety assurance mechanism of ocean monitoring. Three layers were built to provide services,including basic data layer,logical exchange layer and application service layer. The foundation was built for further data analysis and display.
引文
[1]农业部:重视基础性长期性科技工作[J].农机市场,2016(8):4.
[2]岳冬冬,王鲁民,黄洪亮,等.我国远洋渔业发展对策研究[J].中国农业科技导报,2016,18(2):156-164.
[3]化成君,张衡,伍玉梅,等.中东太平洋金枪鱼延绳钓中心渔场的时空变化[J].生态学杂志,2014,33(5):1243-1247.
[4]逄志伟,李显森,朱建成,等.大西洋中部海域竹荚鱼中心渔场的时空变化及其影响因素[J].中国农学通报,2017,33(31):153-159.
[5]陈程,陈新军,汪金涛,等.基于栖息地指数模型的摩洛哥底拖网渔场研究[J].广东海洋大学学报,2016,36(1):63-67.
[6]靳少非,唐峰华,戴立峰,等.2010年北太平洋柔鱼渔场浮游动物多样性[J].海洋环境科学,2014,33(4):503-508.
[7]宋婷婷.基于海面高度数据研究西北太平洋巴特柔鱼(Ommastrephes bartrami)渔场分布[D].上海海洋大学,2014.
[8]张胜茂,戴阳,程田飞,等.西南大西洋阿根廷滑柔鱼渔场专题图服务[J].电脑知识与技术,2017,13(3):192-194.
[9]CHRYSAFI A,KUPARINEN A.Assessing abundance of populations with limited data:Lessons learned from data-poor fisheries stock assessment[J].Environmental Reviews,2015,24(1):25-38.
[10]陈雪忠,樊伟,崔雪森,等.基于随机森林的印度洋长鳍金枪鱼渔场预报[J].海洋学报,2013,35(1):158-164.
[11]WILSON J A.Matching social and ecological systems in complex ocean fisheries[J].Ecology&Society,2006,11(1):1599-1604.
[12]程田飞,张胜茂.远洋渔获数据Web Service服务构建[J].工业控制计算机,2015(7):106-107.
[13]苏奋振,周成虎,杜云艳,等.海洋渔业资源地理信息系统应用的时空问题[J].应用生态学报,2003,14(9):1569-1572.
[14]王军,李阳东,李玉伟.远洋渔业数据库设计和索引探究[J].海洋开发与管理,2016,33(1):98-102.
[15]肖慧,王立华.基于XML的海洋渔业信息检索模型[C].中国计算机农业应用学术研讨会,2010.
[16]宋爱波,万雨桐,贡欢,等.海量多维数据的存储与查询研究[J].计算机工程与应用,2016,52(13):25-31.
[17]项玉良,任开银,张明明,等.分级存储数据多维分析技术的研究与应用[J].计算机与现代化,2015(12):113
[18]KRUMHOLZ J S,BRENNAN M L.Fishing for common ground:Investigations of the impact of trawling on ancient shipwreck sites uncovers a potential for management synergy[J].Marine Policy,2015,61(11):127-133.
[19]胡启伟,陈新军,徐良琦,等.中西太平洋金枪鱼围网渔场聚类及其原因分析[J].海洋学报,2016,38(12):66-75.
[20]DAME R,ROZEK S,CHOJNACKI P,et al.Development of an exploration and production GIS database for the Pacific outer continental shelf[J].International Journal of Production Research,2016,49(8):2487-2498.
[21]PERZIA P,BATTAGLIA P,CONSOLI P,et al.Swordfish monitoring by a GIS-based spatial and temporal distribution analysis on harpoon fishery data:A case of study in the central Mediterranean Sea[J].Fisheries Research,2016,183(11):424-434.
[22]NURDIN S,MUSTAPHA M A,LIHAN T,et al.Applicability of remote sensing oceanographic data in the detection of potential fishing grounds of Rastrelliger kanagurta in the archipelagic waters of Spermonde,Indonesia[J].Fisheries Research,2017,196(12):1-12.
[23]NURDIN S,Mustapha M A,LIHAN T,et al.Determination of potential fishing grounds of Rastrelliger kanagurta using satellite remote sensing and GIS technique[J].Sains Malaysiana,2015,44(2):225-232.
[24]HYNES S,GERRITSEN H,Breen B,et al.Discrete choice modelling of fisheries with nuanced spatial information[J].Marine Policy,2016,72(10):156-165.
[25]WANG Y,WANG Y B,ZHENG J.Analyses of trawling track and fishing activity based on the data of vessel monitoring system(VMS):A case study of the single otter trawl vessels in the Zhoushan fishing ground[J].Journal of Ocean University of China,2015,14(1):89-96.
[2]岳冬冬,王鲁民,黄洪亮,等.我国远洋渔业发展对策研究[J].中国农业科技导报,2016,18(2):156-164.
[3]化成君,张衡,伍玉梅,等.中东太平洋金枪鱼延绳钓中心渔场的时空变化[J].生态学杂志,2014,33(5):1243-1247.
[4]逄志伟,李显森,朱建成,等.大西洋中部海域竹荚鱼中心渔场的时空变化及其影响因素[J].中国农学通报,2017,33(31):153-159.
[5]陈程,陈新军,汪金涛,等.基于栖息地指数模型的摩洛哥底拖网渔场研究[J].广东海洋大学学报,2016,36(1):63-67.
[6]靳少非,唐峰华,戴立峰,等.2010年北太平洋柔鱼渔场浮游动物多样性[J].海洋环境科学,2014,33(4):503-508.
[7]宋婷婷.基于海面高度数据研究西北太平洋巴特柔鱼(Ommastrephes bartrami)渔场分布[D].上海海洋大学,2014.
[8]张胜茂,戴阳,程田飞,等.西南大西洋阿根廷滑柔鱼渔场专题图服务[J].电脑知识与技术,2017,13(3):192-194.
[9]CHRYSAFI A,KUPARINEN A.Assessing abundance of populations with limited data:Lessons learned from data-poor fisheries stock assessment[J].Environmental Reviews,2015,24(1):25-38.
[10]陈雪忠,樊伟,崔雪森,等.基于随机森林的印度洋长鳍金枪鱼渔场预报[J].海洋学报,2013,35(1):158-164.
[11]WILSON J A.Matching social and ecological systems in complex ocean fisheries[J].Ecology&Society,2006,11(1):1599-1604.
[12]程田飞,张胜茂.远洋渔获数据Web Service服务构建[J].工业控制计算机,2015(7):106-107.
[13]苏奋振,周成虎,杜云艳,等.海洋渔业资源地理信息系统应用的时空问题[J].应用生态学报,2003,14(9):1569-1572.
[14]王军,李阳东,李玉伟.远洋渔业数据库设计和索引探究[J].海洋开发与管理,2016,33(1):98-102.
[15]肖慧,王立华.基于XML的海洋渔业信息检索模型[C].中国计算机农业应用学术研讨会,2010.
[16]宋爱波,万雨桐,贡欢,等.海量多维数据的存储与查询研究[J].计算机工程与应用,2016,52(13):25-31.
[17]项玉良,任开银,张明明,等.分级存储数据多维分析技术的研究与应用[J].计算机与现代化,2015(12):113
[18]KRUMHOLZ J S,BRENNAN M L.Fishing for common ground:Investigations of the impact of trawling on ancient shipwreck sites uncovers a potential for management synergy[J].Marine Policy,2015,61(11):127-133.
[19]胡启伟,陈新军,徐良琦,等.中西太平洋金枪鱼围网渔场聚类及其原因分析[J].海洋学报,2016,38(12):66-75.
[20]DAME R,ROZEK S,CHOJNACKI P,et al.Development of an exploration and production GIS database for the Pacific outer continental shelf[J].International Journal of Production Research,2016,49(8):2487-2498.
[21]PERZIA P,BATTAGLIA P,CONSOLI P,et al.Swordfish monitoring by a GIS-based spatial and temporal distribution analysis on harpoon fishery data:A case of study in the central Mediterranean Sea[J].Fisheries Research,2016,183(11):424-434.
[22]NURDIN S,MUSTAPHA M A,LIHAN T,et al.Applicability of remote sensing oceanographic data in the detection of potential fishing grounds of Rastrelliger kanagurta in the archipelagic waters of Spermonde,Indonesia[J].Fisheries Research,2017,196(12):1-12.
[23]NURDIN S,Mustapha M A,LIHAN T,et al.Determination of potential fishing grounds of Rastrelliger kanagurta using satellite remote sensing and GIS technique[J].Sains Malaysiana,2015,44(2):225-232.
[24]HYNES S,GERRITSEN H,Breen B,et al.Discrete choice modelling of fisheries with nuanced spatial information[J].Marine Policy,2016,72(10):156-165.
[25]WANG Y,WANG Y B,ZHENG J.Analyses of trawling track and fishing activity based on the data of vessel monitoring system(VMS):A case study of the single otter trawl vessels in the Zhoushan fishing ground[J].Journal of Ocean University of China,2015,14(1):89-96.