Abstract

Madura Strait is one of the busy straits in Indonesia due to the existence of two international ports, Tanjung Perak and Teluk Lamong ports. In order to maintain safety of navigation in this region, bathymetric surveys has to be conducted regularly. The purpose of those survey is to maintain the depth of the shipping lanes and port pools. For that purpose, depth data from the acquisition process has to be corrected properly to obtain the deliverable depth in the nautical chart. One of the corrections that has to be applied is sound velocity correction. To do that correction, the speed of the acoustic wave propagation through the water column has to be collected using Sound Velocity Profiler. This study aims to model the underwater sound speed propagation which can be utilized to correct the measure depth. The study employed the Delft-3D FLOW module to develop a hydrodynamic model in baroclinic mode so the model can produces salinity, temperature, and pressure which vary spatially and temporally. By using these parameters, a near continuous sound velocity model in water column can be estimated using the empirical formula from Chen and Millero (1977). The sound speed value is validated using the Sound Velocity Profiler measurement. The validation was performed at 4 points, and shows a small difference between sound velocity from the model and measurement using RMSE calculation and estimated depth simulation. The RMSE has value between 0.003ms−1 and 0.064ms−1. Based on the estimated depth simulation, the difference between the corrected depth is 0.0005 to 0.001m. This can be claimed as an evidence that the sound velocity model from the study can be applied to get the corrected depth in Madura Strait.

Details

Title
An Estimation of Underwater Sound Velocity using 3D Hydrodinamics Modelling in Madura Strait
Author
Robbani, Hilma Wasilah 1 ; Pratomo, Danar Guruh 1 

 Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember , Surabaya, Indonesia 60111 
First page
012040
Publication year
2023
Publication date
Jan 2023
Publisher
IOP Publishing
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2767466013
Copyright
Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.