Volume 41 Issue 9
Aug.  2022
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Xiaoman Li, Biao Wang, Xuejie Bi, Hong Wu. A fast inversion method for ocean parameters based on dispersion curves with a single hydrophone[J]. Acta Oceanologica Sinica, 2022, 41(9): 71-85. doi: 10.1007/s13131-022-1999-z
Citation: Xiaoman Li, Biao Wang, Xuejie Bi, Hong Wu. A fast inversion method for ocean parameters based on dispersion curves with a single hydrophone[J]. Acta Oceanologica Sinica, 2022, 41(9): 71-85. doi: 10.1007/s13131-022-1999-z

A fast inversion method for ocean parameters based on dispersion curves with a single hydrophone

doi: 10.1007/s13131-022-1999-z
Funds:  The Scientific Research Foundation of Jiangsu University of Science and Technology for Recruited Talents under contract No. 1032931907; the Basic Science (Natural Science) General Program of Jiangsu Province Higher Education Institutions under contract No. 21KJD140001.
More Information
  • Corresponding author: E-mail: lixiaoman@just.edu.cn
  • Received Date: 2021-08-23
  • Accepted Date: 2021-11-21
  • Available Online: 2022-06-10
  • Publish Date: 2022-08-31
  • The dispersion characteristics of shallow water can be described by the dispersion curves, which contain substantial ocean parameter information. A fast ocean parameter inversion method based on dispersion curves with a single hydrophone is presented in this paper. The method is achieved through Bayesian theory. Several sets of dispersion curves extracted from measured data are used as the input function. The inversion is performed by matching a replica calculated with a dispersion formula. The bottom characteristics can be described by the bottom reflection phase shift parameter P. The propagation range and the depth can be inverted quickly when the seabed parameters are represented by on parameter P. The inversion results improve the inversion efficiency of the seabed parameters. Consequently, the inversion efficiency and accuracy are improved while the number of inversion parameters is decreased and the computational speed of replica is increased. The inversion results have lower error than the reference values, and the dispersion curves calculated with inversion parameters are also in good agreement with extracted curves from measured data; thus, the effectiveness of the inversion method is demonstrated.
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