Automatic Identification of Internal Wave Characteristics Affecting Bathymetric Measurement Based on Multibeam Echosounder Water Column Data Analysis
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...
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MDPI AG
2021-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/16/4774 |
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| author | Karolina Zwolak Łukasz Marchel Aileen Bohan Masanao Sumiyoshi Jaya Roperez Artur Grządziel Rochelle Ann Wigley Sattiabaruth Seeboruth |
| author_facet | Karolina Zwolak Łukasz Marchel Aileen Bohan Masanao Sumiyoshi Jaya Roperez Artur Grządziel Rochelle Ann Wigley Sattiabaruth Seeboruth |
| author_sort | Karolina Zwolak |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T08:51:58Z |
| format | Article |
| id | doaj.art-be7c5d24c9064bd394b3bae558589a7b |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T08:51:58Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-be7c5d24c9064bd394b3bae558589a7b2023-11-22T07:27:12ZengMDPI AGEnergies1996-10732021-08-011416477410.3390/en14164774Automatic Identification of Internal Wave Characteristics Affecting Bathymetric Measurement Based on Multibeam Echosounder Water Column Data AnalysisKarolina Zwolak0Łukasz Marchel1Aileen Bohan2Masanao Sumiyoshi3Jaya Roperez4Artur Grządziel5Rochelle Ann Wigley6Sattiabaruth Seeboruth7Faculty of Navigation and Naval Weapons, Polish Naval Academy, Smidowicza St. 69, 81127 Gdynia, PolandFaculty of Navigation and Naval Weapons, Polish Naval Academy, Smidowicza St. 69, 81127 Gdynia, PolandINFOMAR, Geological Survey of Ireland, D04 K7X4 Dublin, IrelandHydrographic and Oceanographic Department, Japan Coast Guard, Tokyo 135-0064, JapanCenter for Coastal and Ocean Mapping, University of New Hampshire, Durham, NH 03824, USAFaculty of Navigation and Naval Weapons, Polish Naval Academy, Smidowicza St. 69, 81127 Gdynia, PolandCenter for Coastal and Ocean Mapping, University of New Hampshire, Durham, NH 03824, USAHydrographic Unit, Ministry of Housing and Land, Edith Cavell Street, Ebene, Port Louis 72202, MauritiusThe 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.https://www.mdpi.com/1996-1073/14/16/4774multibeam echosounderwatercolumninternal wavesimage processing |
| spellingShingle | Karolina Zwolak Łukasz Marchel Aileen Bohan Masanao Sumiyoshi Jaya Roperez Artur Grządziel Rochelle Ann Wigley Sattiabaruth Seeboruth Automatic Identification of Internal Wave Characteristics Affecting Bathymetric Measurement Based on Multibeam Echosounder Water Column Data Analysis Energies multibeam echosounder watercolumn internal waves image processing |
| title | Automatic Identification of Internal Wave Characteristics Affecting Bathymetric Measurement Based on Multibeam Echosounder Water Column Data Analysis |
| title_full | Automatic Identification of Internal Wave Characteristics Affecting Bathymetric Measurement Based on Multibeam Echosounder Water Column Data Analysis |
| title_fullStr | Automatic Identification of Internal Wave Characteristics Affecting Bathymetric Measurement Based on Multibeam Echosounder Water Column Data Analysis |
| title_full_unstemmed | Automatic Identification of Internal Wave Characteristics Affecting Bathymetric Measurement Based on Multibeam Echosounder Water Column Data Analysis |
| title_short | Automatic Identification of Internal Wave Characteristics Affecting Bathymetric Measurement Based on Multibeam Echosounder Water Column Data Analysis |
| title_sort | automatic identification of internal wave characteristics affecting bathymetric measurement based on multibeam echosounder water column data analysis |
| topic | multibeam echosounder watercolumn internal waves image processing |
| url | https://www.mdpi.com/1996-1073/14/16/4774 |
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