文献类型： 外文期刊

作者： Tang Feng-hua ¹ ; Zhang Sheng-mao ¹ ; Yang Sheng-long ¹ ; Cui Xue-sen ¹ ;

作者机构： 1.Chinese Acad Fishery Sci, Key Lab Fisheries Resources Remote Sensing & Info, East China Sea Fisheries Res Inst, Shanghai 200090, Peoples R China

关键词： Bayesian probability;forecast of fishing condition;flying squid in North Pacific;predicting system

期刊名称：INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS II, PTS 1-3

ISSN： 1660-9336

年卷期： 2013 年 336-338 卷

页码：

收录情况： SCI

摘要： Based on the yearly catch data (1994 similar to 2011) of Chinese fishery and inversed SST from satellite remote sensing in North Pacific Ocean, we developed the predicting system of fishing grounds using Bayesian probability theory. The system used the client/service mode; while the database used the SQL Server 2000 data management system combining with the Control type GIS technology. The precision verification using historical catch data was conducted and the results showed that the prediction accuracy of fishing and non-fishing ground were 69.46% and 57.15%, respectively, and the total average predict rate of accuracy was 63.31%. The predicting system showed important advising significance in foresting fishing ground and fishing activity of the flying squid in North Pacific Ocean.