Temperature-induced sound speed variability in a laboratory water tank

Alexandra M. Hopps-McDaniel, T. Neilsen
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引用次数: 0

Abstract

Temperature variations in the ocean cause changes in the sound speed and, hence, sound propagation. This project quantified the sound speed variation achievable in a laboratory water tank. The rectangular tank has paneling that minimizes lateral reflections. Two temperature sensors measured the temperature changes over time while the water was cooled with ice, heated, and naturally warmed back to room temperature. Sound speed values were calculated using the freshwater Marczak equation. We found that while the temperature remains relatively uniform near the bottom of the tank during heating and cooling. Heating increases the sound speed at a rate of 3.5 m/s per hour, while adding ice in various quantities decreases the temperature rapidly. After rapid cooling, the water near the surface of the tank warms faster than the water near the bottom, creating a depth-dependent sound speed gradient. Eight hours after adding 380 pounds of pebble ice, the sound speed gradient was 10.7 m/s per meter. The water temperature variability in these tank measurements replicates a portion of the sound speed variability seen in the ocean. This sound speed variability can then be used to test the robustness of machine learning algorithms.
实验室水箱中温度引起的声速变化
海洋温度的变化会引起声速的变化,从而影响声音的传播。本项目量化了在实验室水箱中可实现的声速变化。矩形的水箱有镶板,可以最大限度地减少横向反射。两个温度传感器在水被冰冷却、加热和自然加热到室温的过程中测量温度随时间的变化。利用淡水Marczak方程计算声速值。我们发现,在加热和冷却过程中,罐底附近的温度保持相对均匀。加热使声速以每小时3.5米/秒的速度增加,而加入不同数量的冰会迅速降低温度。在快速冷却之后,水箱表面附近的水比底部附近的水升温更快,从而产生了与深度相关的声速梯度。在加入380磅卵石冰8小时后,声速梯度为每米10.7米/秒。这些水箱测量的水温变化复制了海洋中看到的部分声速变化。这种声速可变性可以用来测试机器学习算法的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
0.90
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