海洋盐度分布的插值方法应用与对比研究  

Study on the application and comparison of interpolation methods for the marine salinity distribution

作　　者：王兴[1,2,3] 刘莹[1,3] 王春晖[1,2,3] 李保磊[1,3] 钟山[4] 

机构地区：[1]国家海洋局北海环境监测中心,山东青岛266033 [2]山东省海洋生态环境与防灾减灾重点实验室,山东青岛266061 [3]国家海洋局海洋溢油鉴别与损害评估技术重点实验室,山东青岛266033 [4]国家海洋局北海预报中心,山东青岛266061

出　　处：《海洋通报》2016年第3期324-330,共7页Marine Science Bulletin

基　　金：山东省海洋生态环境与防灾减灾重点实验室2012年度开放基金资助项目(2012001)

摘　　要：空间插值在海洋环境评价中有着广泛的应用,常用的插值方法有:线性插值、最近邻点插值、自然邻点插值、三次多项式插值、反距离权重插值、克里金插值等。盐度是海水重要的环境因子,基于2012年8月份的北海区盐度监测数据,采用空间插值分析表层盐度分布,并通过开展不同插值方法的插值实验,对插值结果进行曲面分析和误差分析,对比各插值方法的特点与适用性。结果显示:基于本次海洋环境监测的站位与盐度数据,克里金插值、自然邻点插值曲面趋势符合较好,而且相对其他插值方法误差也较小,是相对适用于海水盐度的空间插值方法。Spatial interpolation is widely used in the marine environment assessment. The commonly used interpolation methods include Linear, Nearest Neighbor, Natural Neighbor, Cubic Polynomial, Inverse Distance Weight and Kriging interpolation methods. Salinity is an important marine environmental factor. Based on the salinity data of North China Sea in 2012 August, the surface salinity distribution is analyzed by those interpolation methods, and different interpolation experiments are designed. And the characteristics and applicability of each interpolation methods are compared by the trend surface analysis and error analysis. The results show that the Kriging interpolation and the Natural Neighbor interpolation have better trends and less error, and they are suitable interpolation methods for the marine salinity distribution, comparing with other interpolation methods.

关 键 词：盐度 插值方法 误差分析 克里金 自然邻点 

分 类 号：P76[天文地球—海洋科学]