A Method for Streamlining and AssessingSound VelocityProfilesBased onImproved D-P Algorithm

Abstract

Abstract:

Sound velocity profilesare indispensable in the multi-beam sounding. In order to solve problem thatthe amount of originalmeasured sound velocity profiles affect efficiency, this article focuses on sound velocity profile streamlining and optimization, presentinga improved D-P algorithm(MOV method)suitable for streamlining sound velocity profiles, assessing sounding accuracy before and after streamlining sound velocity profilesby ray tracing and percentage error method, and using the measured sound velocity profile data tovalidatethe algorithm.The results show that, by optimizing the threshold value for D-P algorithm, sound velocity profile data reduction rate can be 90% or more, standard deviation of percentagedepth is less than 0.1%, the optimized sound velocity profileshave important practical engineering application value that theycan significantly improve multi-beam survey and data processing efficiency.

Key words: Douglas-Peuckeralgorithm, Sound velocity profiles, Optimization, Percentage error, Analysis

CLC Number:

P217

References

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