藻华期间流变分层海水对微塑料沉降动力学的影响

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-07-15 Epub Date: 2025-03-12 DOI:10.1016/j.watres.2025.123487
Magdalena M. Mrokowska , Karolina Dzień , Anna Krztoń-Maziopa
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引用次数: 0

摘要

微塑料(MPs)的沉降行为决定了它们在水体中的停留时间和生物利用度。尽管对MPs在各种水生环境中的流体动力学进行了大量研究,但很少有人关注MPs在富含黏液的海水中的下沉,这些黏液是由藻华期间微生物过度分泌的外聚合物(eps)形成的。这些水华通常发生在密度分层的海水中,通过向具有典型eps含量的牛顿海水柱中引入非牛顿富eps层,可以从流变学上改变体系。在这项研究中,我们研究了以前未解决的在藻华区外围形成的流变分层在MPs下沉过程中的作用。我们的实验室实验表明,牛顿层和非牛顿层之间粘度和粘弹性的变化显著影响MPs下沉速度和方向,通常超过密度分层的影响。结果表明,MPs在非牛顿层中的下沉速度下降,导致停留时间比在牛顿层中的停留时间长5倍,这表明两层之间的粘度差明显依赖。同时,我们发现MPs的取向不稳定性随着EPS含量的增加而增强。这项研究揭示了以前未解决的流体动力学效应,在流变分层海水中,可能会加剧MPs的积累及其与生态系统的相互作用。这可能有助于解释MPs在受藻华影响地区的命运。
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Effects of rheologically stratified seawater during algal bloom on sinking dynamics of microplastics
The settling behaviour of microplastics (MPs) governs their residence time and bioavailability in the water column. Despite significant research efforts on the hydrodynamics of MPs in various aquatic environments, little attention has been given to MPs sinking in seawater enriched with mucus formed by exopolymers (EPSs) excessively secreted by microorganisms during algal blooms. These blooms often develop in density-stratified seawater and can rheologically modify the system by introducing a non-Newtonian EPS-rich layer to the Newtonian seawater column with a typical content of EPSs. In this study, we investigated the previously unaddressed role of rheological stratification that forms at the periphery of the algal bloom region in MPs sinking process. Our laboratory experiments revealed that variations in viscosity and viscoelasticity between Newtonian and non-Newtonian layers significantly impact MPs sinking velocity and orientation, often outweighing the effects of density stratification. Results demonstrated that the sinking velocity of MPs decreased in the non-Newtonian layer leading to residence times up to five times longer than in the Newtonian layer, showing a clear dependence on the viscosity difference between the two layers. Meanwhile, we identified the orientation instabilities of MPs enhanced with increasing EPS content. This study revealed previously unaddressed hydrodynamic effects in rheologically stratified seawater that may intensify MPs accumulation and their interactions with the ecosystem. This could help explain MPs fate in algal bloom-afflicted regions.
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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