Argo数据库的构建与渔业分析应用

遥感数据在渔业分析中应用广泛,但它只能提供海洋表层参考信息,远洋捕捞常常需要次表层环境信息辅助渔场预测。Argo剖面数据提供了从表层到2 000 m以浅的数据,利用Argo数据建立的次表层海况数据库可以为渔业分析提供更多的参考信息。从GDacs服务器自动定时下载数据并更新数据库,利用Akima插值方法处理垂直剖面数据,通过分析温度和盐度的变化情况计算出温跃层和盐跃层,以及其深度、厚度、强度等信息,利用反距离权重插值法绘制海洋次表层环境信息图,结合渔业信息数据可以很好地应用于渔业分析。研究亮点:多数金枪鱼类生活在海洋表层至100 m,温跃层限制了鱼类的上下移动。文章研究了Argo数据自动化处理,使用AKIMA、IDW插值生成温跃层上(下)界温度、盐度、深度、强度;根据温跃层深度选择用于辅助分析的水层;分析渔获量分布、变化等与海洋次表层环境特点的关系。

Construction of Argo database and its application to fisheries

Remote sensing data can not provide sub surface reference information for the offshore marine fisheries analysis. Sub surface environmental conditions are often needed to assist fisheries forecast. Argo profiles can provide the data from the surface to 2 000 m. An Argo database of sub surface sea conditions is established in supporting fisheries analysis. Argo data automatically download and update the database regularly from the GDacs server. Akima interpolation method is used to process Argo vertical profile data. Thermocline and halocline are worked out by analyzing the changes in temperature and salinity. Their depth, thickness, strength and other information are also calculated out. Inverse distance weighted interpolation method is used to plot the marine environmental information map. With fisheries information, maps can be well used in fisheries analysis.