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一种用于海洋层化数据的插值方法改进 |
张志欣1,2,3,4, 郭景松1,2,3, 蔡燕红5, 乔方利1,2,3, 郭炳火1,3
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1.自然资源部第一海洋研究所 青岛 266061;2.青岛海洋科学与技术试点国家实验室 区域海洋动力学与数值模拟功能实验室 青岛 266237;3.自然资源部海洋环境和数值模拟重点实验室 青岛 266061;4.自然资源部数据分析与应用重点实验室 青岛 266061;5.自然资源部宁波海洋环境监测中心站 宁波 315012
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摘要: |
海洋环境调查数据的客观分析图像是调查结果的直观体现,也是进一步科学研究的基础。在环境要素空间分布复杂的近海海域及陆架坡区,我们发现利用现有插值方法得到的结果有时会出现之前没有被关注到的局部异常,如常用的Kriging方法或三角网线性插值方法插值得到的图像有时会出现或轻或重的"藕"状或"台阶"状的层化结构异常。本文提出一种针对原始数据采用坐标变换方法,并联合使用三角网线性插值法和Kriging法两种方法进行数据插值,从而有效地避免了类似"藕"状或"台阶"状的层化结构假象,解决了插值方法在海洋环境调查数据插值过程中遇到的一个实际问题,也是对现有插值方法的一种补充。 |
关键词: 插值方法 坐标变换 层化数据 可视化图像 近海水文 |
DOI:10.11693/hyhz20190900165 |
分类号:P331;P717;P731.1;P76 |
基金项目:国家重点研发计划项目,2016YFC1401403号;国家自然科学基金项目,41606035号;国家海洋局东海分局指令性项目,象山港及浙北海域水污染分布规律及站点布设方法研究。 |
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IMPROVED INTERPOLATION FOR MARINE STRATIFICATION DATA |
ZHANG Zhi-Xin1,2,3,4, GUO Jing-Song1,2,3, CAI Yan-Hong5, QIAO Fang-Li1,2,3, GUO Bing-Huo1,3
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1.First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China;2.Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology(Qingdao), Qingdao 266237, China;3.Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China;4.Key laboratory of Data Analysis and Applications, Ministry of Natural Resources, Qingdao 266061, China;5.Ningbo Marine Environment Monitoring Center Station, Ministry of Natural Resources, Ningbo 315012, China
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Abstract: |
The objective analysis images of marine environmental survey data are a direct reflection of the survey results and the basis for further scientific research. In the offshore waters and continental shelf slopes where the spatial distribution of environmental elements is complex, we find that the results obtained by the existing interpolation methods sometimes show local anomalies that have not been noticed before, such as the commonly used Kriging method or triangulation linear interpolation method. The image sometimes appears to have a light or heavy lotus-root-like or stairway-like layered structure abnormality. We proposed a coordinate transformation method based on the original data, and uses a combination of triangulation linear interpolation and Kriging to perform data interpolation, thereby effectively avoiding the artifacts of a layered structure similar to lotus-root or stairway in shape. The method solves a practical problem encountered in the interpolation of marine environmental survey data by interpolation methods, and is a supplement to the existing interpolation methods. |
Key words: interpolation method coordinate transformation stratification data visualization image offshore hydrology |