Influence of clay mineral type and particle-to-oil ratio on the transport and deposition of oil-particle aggregates in coastal porous media

IF 12.8 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research Pub Date : 2026-04-01 Epub Date: 2026-01-14 DOI:10.1016/j.watres.2026.125397

Yuanxin Li , Lei He , Qinghong Wang , Peihe Li , Meiping Tong , Chunmao Chen

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Abstract

The interaction of oil released from the marine oil spills and mineral particles in nearshore environments leads to the formation of oil-particle aggregates (OPAs). The environmental risks of marine oil are highly related to the fate and transport behaviors of OPAs in coastal aquifers, which yet remains unclear. In this study, we systematically investigated the transport of OPAs with different clay minerals types and particle-to-oil ratios (C_p/C_o) in both coarse and fine media at different flow rates (10, 50 and 150 m/day). We found that the transport behavior of OPAs in porous media was greatly affected by the clay mineral type, C_p/C_o ratio, and the porous media size. Particularly, owing to the stronger electrostatic repulsion, higher hydrophilicity, and smaller size, kaolinite-based OPAs (K-OPAs) exhibited higher mobility than montmorillonite-based OPAs (M-OPAs) in coarse media. While, both K-OPAs and M-OPAs had limited mobility in fine media due to straining. Moreover, we found that different C_p/C_o ratio induced different mobility of OPAs in porous media with different sizes. Specifically, K-OPAs with higher C_p/C_o ratio demonstrated enhanced transport in coarse media due to the reduced particle size and lower hydrophobicity, while K-OPAs with lower C_p/C_o exhibited great mobility in fine media due to the elastic deformability. This work has implications for the prediction of the environmental fate of oil spill residues.

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黏土矿物类型和油粒比对海岸多孔介质中油粒聚集体运移和沉积的影响

海洋溢油释放的石油与近岸环境中矿物颗粒的相互作用导致了油颗粒聚集体（OPAs）的形成。海洋石油的环境风险与沿海含水层中OPAs的命运和运移行为密切相关，但目前尚不清楚。在这项研究中，我们系统地研究了含不同粘土矿物类型和颗粒油比（Cp/Co）的OPAs在粗、细介质中以不同流速（10、50和150 m/天）的运移。研究发现，OPAs在多孔介质中的输运行为受黏土矿物类型、Cp/Co比和多孔介质尺寸的影响较大。特别是，由于高岭石基OPAs具有更强的静电斥力、更高的亲水性和更小的尺寸，在粗介质中，高岭石基OPAs比蒙脱石基OPAs具有更高的迁移率。而K-OPAs和M-OPAs在细介质中由于拉伸而迁移受限。此外，我们还发现不同Cp/Co比会导致OPAs在不同尺寸的多孔介质中的迁移率不同。具体而言，Cp/Co比较高的K-OPAs由于粒径减小和疏水性降低，在粗介质中表现出更强的迁移性，而Cp/Co比较低的K-OPAs由于弹性变形性在细介质中表现出较大的迁移性。这项工作对预测溢油残留物的环境命运具有重要意义。

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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来源期刊

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.