由于受限于观测条件,海底地形模型在分辨率与精度两方面较陆地和大地水准面模型有很大的差距.传统的海底地形测量是利用声呐船测技术获取水深数据,但该测量方法测量效率低、测量点分布稀疏不均匀.文章详细研究并推导了基于卫星测高数据进行海底地形反演的方法,采用卫星测高重力异常数据和少量船测水深数据,对北太平洋部分区域进行了海底地形反演,得到1'×1'分辨率的海底地形模型,并对反演关系中的非线性项进行了分析.仿真结果验证了此方法的可行性,指出海底地形与重力异常数据在一定波段内以线性关系为主,叠加非线性二次项和三次项可较好地提升反演精度,高于三次项的部分对反演的结果没有明显的作用,可以忽略.%Both of the resolution and accuracy of bathymetry model is far from the model of the earth land and geoid,because of observing difficulty.The traditional measurement of the bathymetry is using shipboard sounding technique,which has the limitations of low efficiency,sparse and nonuniform covering.In this paper,bathymetry prediction method based on satellite altimetry data is presented.An 1'× 1'bathymetry model of a region in north Pacific is predicted through simulation in this paper,and the nonlinear relationship between satellite altimetry data and bathymetry data is analyzed.The results show that,it is feasible to use this method predicting bathymetry.The relationship between satellite altimetry gravity anomalies and bathymetry is mainly linear in certain wavelength;adding the second and third order nonlinear terms will improve the accuracy of the inversion,however the higher order terms have little effect.
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