海洋盐度分布的插值方法应用与对比研究
发布时间：2018-07-15 09:41
【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。
[Abstract]:Spatial interpolation is widely used in marine environment assessment. The commonly used interpolation methods include linear interpolation, nearest neighbor interpolation, natural neighbor point interpolation, cubic polynomial interpolation, inverse distance weight interpolation, Kriging interpolation and so on. Salinity is an important environmental factor in seawater. Based on the salinity monitoring data of North Sea area in August 2012, the surface salinity distribution is analyzed by spatial interpolation, and the interpolation experiments with different interpolation methods are carried out. The interpolation results are analyzed by surface analysis and error analysis, and the characteristics and applicability of the interpolation methods are compared. The results show that the tendency of Kriging interpolation and natural neighbor interpolation surface is better based on the station position and salinity data of the marine environmental monitoring, and the error is smaller than that of other interpolation methods. It is a spatial interpolation method which is relatively suitable for seawater salinity.
【作者单位】： 国家海洋局北海环境监测中心;山东省海洋生态环境与防灾减灾重点实验室;国家海洋局海洋溢油鉴别与损害评估技术重点实验室;国家海洋局北海预报中心;
【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)
【分类号】：P731.12
本文编号：2123652
[Abstract]:Spatial interpolation is widely used in marine environment assessment. The commonly used interpolation methods include linear interpolation, nearest neighbor interpolation, natural neighbor point interpolation, cubic polynomial interpolation, inverse distance weight interpolation, Kriging interpolation and so on. Salinity is an important environmental factor in seawater. Based on the salinity monitoring data of North Sea area in August 2012, the surface salinity distribution is analyzed by spatial interpolation, and the interpolation experiments with different interpolation methods are carried out. The interpolation results are analyzed by surface analysis and error analysis, and the characteristics and applicability of the interpolation methods are compared. The results show that the tendency of Kriging interpolation and natural neighbor interpolation surface is better based on the station position and salinity data of the marine environmental monitoring, and the error is smaller than that of other interpolation methods. It is a spatial interpolation method which is relatively suitable for seawater salinity.
【作者单位】： 国家海洋局北海环境监测中心;山东省海洋生态环境与防灾减灾重点实验室;国家海洋局海洋溢油鉴别与损害评估技术重点实验室;国家海洋局北海预报中心;
【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)
【分类号】：P731.12
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