【作者】 胡光海； 周兴华；

【Author】 Hu Guanghai Zhou Xinghua First Institute of Oceanography, SOA. Qingdao, P.R. China 266061

【机构】 国家海洋局第一海洋研究所；

【摘要】 由于受多种干扰因素的影响,海洋测绘中水深数据出现异常值的概率远远大于陆地测量,加上海洋测量进行重复观测比较困难。因此,对异常值的检查一直是海洋测量资料质量检查和质量控制中的一个非常重要的研究课题。趋势面分析是用一个数学函数代表几何平面或曲面模拟事物的空间分布,以反映其分布的规律或势趋。近年来,人们用其来分析研究某些地质特征在空间中的分布情况。本文利用趋势面分析理论来识别水深测量中出现的水深误差,并且把该理论应用于埕岛油田海区CB6C井区水深数据处理。更多还原

【Abstract】 In the theory of Trend Surface Analysis, variability in spatial data is generally the product of two effects: the first the result of broad-scale ’regional’ changes in the value of the phenomena, the second the result of smaller-scale ’local’ variations. When a particular research topic is to study the relation between spatially-distributed phenomena, it is usually necessary to seperate these effects, as normally it is the regional changes which are of interest in studying the form of relationships within spatial systems. In this paper, We apply these techniques to process data of water depth and analysis their errors in the sea area of CB6C well of Chengdao Oil Field.更多还原