立方体微塑性沉降速度的实验研究

IF 4.3 2区 工程技术 Q1 ENGINEERING, OCEAN
Seung-Jae Kwon , Young-Gyu Park , Le Duc Quyen , In-Cheol Lee , Jun Myoung Choi
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引用次数: 0

摘要

准确的沉降速度估计对于模拟海洋中微塑料的分布至关重要,而这种估计可以通过无量纲相关性来实现。本文对不规则形状微塑料的沉降速度进行了实验研究,提出了阻力系数与无因次沉降速度之间的经验关联关系。微塑料的形状和尺寸使用3D打印进行标准化:150个立方体微塑料,最小尺寸为0.2 mm,长宽比从纤维状(1:1:10)到片状(10:10:1)不等。实验在水和水-甘油混合物中进行,雷诺数范围为0.03至200。利用等效和最长长度尺度,结合各种形状因素,建立了阻力系数和无因次沉降速度的新经验相关性。利用这些相关性预测沉降速度的均方根误差平均为11.7%。与现有阻力模型的比较表明,我们提出的相关性提高了准确性,为预测从沿海地区到公海的不同海洋环境中的微塑料行为提供了更可靠的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental investigation of settling velocity for cuboidal microplastic
Accurate settling velocity estimation is crucial for modeling microplastic distribution in the ocean, and this estimation can be achieved using nondimensional correlations. This study experimentally investigates the settling velocity of irregularly shaped microplastics and proposes new empirical correlations for drag coefficient and dimensionless settling velocity. Microplastic shape and size were standardized using 3D printing: 150 cuboidal microplastics with minimum dimensions of 0.2 mm and aspect ratios ranging from fiber-like (1:1:10) to plate-like (10:10:1) were fabricated. Experiments were conducted in water and a water-glycerol mixture, spanning a Reynolds number range of 0.03 to 200. New empirical correlations for drag coefficient and dimensionless settling velocity were developed using equivalent and longest length scales, incorporating various shape factors. The root mean square error in predicted settling velocity using these correlations averaged 11.7 %. Comparisons with existing drag models demonstrate the improved accuracy of our proposed correlations, providing more reliable methods for predicting microplastic behavior in diverse marine environments, from coastal regions to the open ocean.
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来源期刊
Applied Ocean Research
Applied Ocean Research 地学-工程:大洋
CiteScore
8.70
自引率
7.00%
发文量
316
审稿时长
59 days
期刊介绍: The aim of Applied Ocean Research is to encourage the submission of papers that advance the state of knowledge in a range of topics relevant to ocean engineering.
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