摘要
针对沿岸低潮面模型构建时数据多源、精度不等的现状,提出了一种基于多源数据的沿岸低潮面模型构建方法。利用验潮站低潮面数据和基于网格潮汐模型计算的低潮面数据等多源潮汐数据,改进潮汐数据插值方法,根据不同源数据精度信息进行权重配赋,构建顾及不同源数据精度差异的沿岸低潮面模型。实验结果表明,本文所提方法顾及了沿岸海域潮汐运动特点和不同源数据精度差异对建模精度的影响,可以有效利用多源潮汐数据构建较高精度的沿岸低潮面模型,满足低潮线推算等特殊应用对高精度沿岸低潮面模型的需求。
A coastal low water model with high precision has important application value. Aiming to exploit the characteristics of multi-source and precision difference between different tidal data for con- structing coastal low water models, a method based on multi-source tidal data is presented in the pa-per. By utilizing multi-source tidal data, such as tidal gauge data and low water data calculated based on satellite altimetry data, interpolation method of tidal data is modified by assigning a weight to differently sourced data, depending on the precision information, thus the coastal low water model is constructed considering the precision difference between different source data. Experimental results demonstrate that the proposed method can utilize multi-source tidal data and improves the quality of coastal low water models, which can meet the demand for special applications such as extracting low tide lines.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2014年第5期611-615,625,共6页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(41171349)
国家863计划资助项目(2012AA12A406)~~
关键词
海洋测绘
沿岸低潮面模型
理论最低潮面
TCARI
多源数据
hydrographic surveying and charting
coastal low water model
lowest normal low water
TCARI
multi-data
