Estimation of Mud and Sand Fractions and Total Concentration From Coupled Optical-Acoustic Sensors

IF 2.9 3区 地球科学 Q2 ASTRONOMY & ASTROPHYSICS
Duc Tran, Matthias Jacquet, Stuart Pearson, Bram Van Prooijen, Romaric Verney
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Abstract

Optical turbidity and acoustic sensors have been widely used in laboratory experiments and field studies to investigate suspended particulate matter concentration over the last four decades. Both methods face a serious challenge as laboratory and in-situ calibrations are usually required. Furthermore, in coastal and estuarine environments, the coexistence of mud and sand often results in multimodal particle size distributions, amplifying erroneous measurements. This paper proposes a new approach of combining a pair of optical turbidity-acoustic sensors to estimate the total concentration and sediment composition of a mud/sand mixture in an efficient way without an extensive calibration. More specifically, we first carried out a set of 54 bimodal size regime experiments to derive empirical functions of optical-acoustic signals, concentrations, and mud/sand fractions. The functionalities of these relationships were then tested and validated using more complex multimodal size regime experiments over 30 optical-acoustic pairs of 5 wavelengths (420, 532, 620, 700, 852 nm) and six frequencies (0.5, 1, 2, 4, 6, 8 MHz). In the range of our data, without prior knowledge of particle size distribution, combinations between optical wavelengths 620–700 nm and acoustic frequencies 4–6 MHz predict mud/sand fraction and total concentration with the variation <10% for the former and <15% for the later. The results also suggest that acoustic-acoustic signals could be combined to produce meaningful information regarding concentration and mud/sand fraction, while no useful knowledge could be extracted from a combination of optical-optical pairs. This approach therefore enables the robust estimation of suspended sediment concentration and composition, which is particularly practical in cases where calibration data is insufficient.

Abstract Image

利用光声耦合传感器估算泥沙组分和总浓度
在过去的四十年中,光学浊度和声学传感器被广泛应用于实验室实验和实地研究,以调查悬浮颗粒物的浓度。这两种方法都面临着严峻的挑战,因为通常需要进行实验室和现场校准。此外,在沿海和河口环境中,泥沙共存往往会导致多模态粒径分布,扩大测量误差。本文提出了一种新方法,将一对光学浊度-声学传感器结合起来,无需大量校准就能高效估算泥沙混合物的总浓度和沉积物成分。更具体地说,我们首先进行了 54 次双模粒度体系实验,得出了光学-声学信号、浓度和泥沙组分的经验函数。然后,通过对 5 个波长(420、532、620、700、852 nm)和 6 个频率(0.5、1、2、4、6、8 MHz)的 30 对光声信号进行更复杂的多模态粒度体系实验,对这些关系的功能进行了测试和验证。在我们的数据范围内,在事先不了解粒度分布的情况下,620-700 nm 的光学波长和 4-6 MHz 的声学频率组合可预测泥/沙比例和总浓度,前者的变化为 10%,后者的变化为 15%。结果还表明,声学信号与声学信号的组合可产生有关浓度和泥沙成分的有意义的信息,而光学信号与光学信号的组合则无法提取有用的信息。因此,这种方法能够对悬浮沉积物的浓度和组成进行可靠的估算,在校准数据不足的情况下尤其实用。
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来源期刊
Earth and Space Science
Earth and Space Science Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
5.50
自引率
3.20%
发文量
285
审稿时长
19 weeks
期刊介绍: Marking AGU’s second new open access journal in the last 12 months, Earth and Space Science is the only journal that reflects the expansive range of science represented by AGU’s 62,000 members, including all of the Earth, planetary, and space sciences, and related fields in environmental science, geoengineering, space engineering, and biogeochemistry.
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