Abstract

Acoustic Doppler current profilers (ADCPs) were developed to acquire water current velocities, as well as depth-dependent echo intensities. As the backscattering strength of an underwater object can be estimated from the measured echo intensity, the ADCP can be used to estimate plankton populations and distributions. In this study, the backscattering strength of bubble clusters in a water tank was estimated using the commercial ADCP as a proof-of-concept. Specifically, the temporal variations in the backscattering strength and the duration of bubble existence were quantitatively evaluated. Additionally, the PDSL (population density spectrum level) and VF (void fraction) of the artificial bubbles were characterized based on the obtained distribution characteristics using a PDPA (phase Doppler particle analyzer).

Highlights

  • Bubbles in the water can be developed by natural factors such as wind currents, as well as artificial factors such as ship maneuvering [1]

  • Typical examples of the acoustic characteristics of bubbles are void fraction (VF), which means the ratio of the volume occupied by air in the total volume, attenuation coefficients, and backscattering strength, which refers to the intensity of the acoustic signals that are reflected back from the bubble

  • This study measured the acoustic properties of bubble-generating material material (BGM)-generated artificial bubbles using echo intensities at different depths obtained using an Acoustic Doppler current profilers (ADCPs) system

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Summary

Introduction

Bubbles in the water can be developed by natural factors such as wind currents, as well as artificial factors such as ship maneuvering [1]. Typical examples of the acoustic characteristics of bubbles are void fraction (VF), which means the ratio of the volume occupied by air in the total volume, attenuation coefficients, and backscattering strength, which refers to the intensity of the acoustic signals that are reflected back from the bubble. These acoustic properties are predominantly influenced by bubble distribution, such as the population density spectrum level (PDSL), which means the number of bubbles per unit volume by size, and temporal, spatial variation, and so on

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