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泉州型1000t 货船
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作者 凌仲寅 《武汉造船》 1992年第1期45-47,共3页
泉州型货船是武昌造船厂为福建省泉州市泉州船务公司设计和建造的新船型。此型货船能航行于二类海域的国内和国际航线。满足国际公约 SOLAS 和 MARPOL 的要求。船东的设计要求:主要是用于福州、泉州、香港、澳门航线。并对以后发展对台... 泉州型货船是武昌造船厂为福建省泉州市泉州船务公司设计和建造的新船型。此型货船能航行于二类海域的国内和国际航线。满足国际公约 SOLAS 和 MARPOL 的要求。船东的设计要求:主要是用于福州、泉州、香港、澳门航线。并对以后发展对台湾、南朝鲜、日本、东南亚地区各航线作预备。以适宜的11节航速,载货达到1000t。适合在中短程航线上为中小海港、河港集散和转运货物。能搭载20尺标准集装箱,适应大型石雕散件、家用电器等各种散装和包装货物的载运要求。特别适合新兴开放城市中小型外向性航运企业的需要。 展开更多
关键词 货船 性能 泉州型 船舶
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Simulation of phytoplankton biomass in Quanzhou Bay using a back propagation network model and sensitivity analysis for environmental variables 被引量:3
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作者 郑伟 石洪华 +2 位作者 宋希坤 黄东仁 胡龙 《Chinese Journal of Oceanology and Limnology》 SCIE CAS CSCD 2012年第5期843-851,共9页
Prediction and sensitivity models,to elucidate the response of phytoplankton biomass to environmental factors in Quanzhou Bay,Fujian,China,were developed using a back propagation(BP) network.The environmental indicato... Prediction and sensitivity models,to elucidate the response of phytoplankton biomass to environmental factors in Quanzhou Bay,Fujian,China,were developed using a back propagation(BP) network.The environmental indicators of coastal phytoplankton biomass were determined and monitoring data for the bay from 2008 was used to train,test and build a three-layer BP artificial neural network with multi-input and single-output.Ten water quality parameters were used to forecast phytoplankton biomass(measured as chlorophyll-a concentration).Correlation coefficient between biomass values predicted by the model and those observed was 0.964,whilst the average relative error of the network was-3.46% and average absolute error was 10.53%.The model thus has high level of accuracy and is suitable for analysis of the influence of aquatic environmental factors on phytoplankton biomass.A global sensitivity analysis was performed to determine the influence of different environmental indicators on phytoplankton biomass.Indicators were classified according to the sensitivity of response and its risk degree.The results indicate that the parameters most relevant to phytoplankton biomass are estuary-related and include pH,sea surface temperature,sea surface salinity,chemical oxygen demand and ammonium. 展开更多
关键词 SIMULATION phytoplankton biomass Quanzhou Bay back propagation (BP) network global sensitivity analysis
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