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Automatic Identification of Internal Wave Characteristics Affecting Bathymetric Measurement Based on Multibeam Echosounder Water Column Data Analysis

Author

Listed:
  • Karolina Zwolak

    (Faculty of Navigation and Naval Weapons, Polish Naval Academy, Smidowicza St. 69, 81127 Gdynia, Poland)

  • Łukasz Marchel

    (Faculty of Navigation and Naval Weapons, Polish Naval Academy, Smidowicza St. 69, 81127 Gdynia, Poland)

  • Aileen Bohan

    (INFOMAR, Geological Survey of Ireland, D04 K7X4 Dublin, Ireland)

  • Masanao Sumiyoshi

    (Hydrographic and Oceanographic Department, Japan Coast Guard, Tokyo 135-0064, Japan)

  • Jaya Roperez

    (Center for Coastal and Ocean Mapping, University of New Hampshire, Durham, NH 03824, USA)

  • Artur Grządziel

    (Faculty of Navigation and Naval Weapons, Polish Naval Academy, Smidowicza St. 69, 81127 Gdynia, Poland)

  • Rochelle Ann Wigley

    (Center for Coastal and Ocean Mapping, University of New Hampshire, Durham, NH 03824, USA)

  • Sattiabaruth Seeboruth

    (Hydrographic Unit, Ministry of Housing and Land, Edith Cavell Street, Ebene, Port Louis 72202, Mauritius)

Abstract

The accuracy of multibeam echosounder bathymetric measurement depends on the accuracy of the data of the sound speed layers within the water column. This is necessary for the correct modeling of ray bending. It is assumed that the sound speed layers are horizontal and static, according to the sound speed profile traditionally used in the depth calculation. In fact, the boundaries between varying water masses can be curved and oscillate. It is difficult to assess the parameters of these movements based on the sparse sampling of sound velocity profiles (SVP) collected through a survey; thus, alternative or augmented methods are needed to obtain information about water mass stratification for the time of a particular ping or a series of pings. The process of water column data collection and analysis is presented in this paper. The proposed method updates the sound speed profile by the automated detection of varying water mass boundaries, giving the option to adjust the SVP for each beam separately. This can increase the overall accuracy of a bathymetric survey and provide additional oceanographic data about the study area.

Suggested Citation

  • Karolina Zwolak & Łukasz Marchel & Aileen Bohan & Masanao Sumiyoshi & Jaya Roperez & Artur Grządziel & Rochelle Ann Wigley & Sattiabaruth Seeboruth, 2021. "Automatic Identification of Internal Wave Characteristics Affecting Bathymetric Measurement Based on Multibeam Echosounder Water Column Data Analysis," Energies, MDPI, vol. 14(16), pages 1-23, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4774-:d:609275
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    References listed on IDEAS

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    1. Qunshu Tang & Vincent C. H. Tong & Richard W. Hobbs & Miguel Ángel Morales Maqueda, 2019. "Detecting changes at the leading edge of an interface between oceanic water layers," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
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