海洋水深测量的高精度算法研究

海洋深度测量是海洋科学及相关领域的重要方向,其结果的精确度关系到海洋地形的精细勘测,深海资源开发,海洋环境保护等诸多领域的重要决策。此项研究针对海洋水深测量的高精度问题,提出并研究了一种新的测量算法。该算法基于先进的数学模型和物理原理,以及最新的测量技术,分别对海底地形特征,水流,水温,海水盐度等多种因素进行了考虑和修正,以进一步提高水深测量的精度。仿真结果显示,该算法较传统的深度测量算法具有更高的精度和稳定性。针对不同海域和水深条件,都表现出了良好的测量效果,最高可以提高测量精度10%以上。该研究成果对于提升我国海洋精细测绘能力,开展深海科学研究,以及推进我国海洋经济的可持续发展具有重要的理论和实践价值。

Recovery of Bathymetry from Altimeter Data

At present,there exist two methods used to recover the bathymetry from altimeter data,i.e.the deterministic method and the stochastic method.In this paper,the principles of the two methods are introduced first.Then according to the theory of least_square collocation,a modified statistical model for recovering bathymetry from altimeter data is proposed.The new model has been used for computing the ocean depth in the South China Sea from altimeter_derived gravity anomalies.Finally the predicted depths are compared with the ship_borne depth.It shows that they agree with each other very well.