Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016WR020123 |
A binomial modeling approach for upscaling colloid transport under unfavorable conditions: Emergent prediction of extended tailing | |
Hilpert, Markus1; Rasmuson, Anna2; Johnson, William P.2 | |
2017-07-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:7 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Colloid transport in saturated porous media is significantly influenced by colloidal interactions with grain surfaces. Near-surface fluid domain colloids experience relatively low fluid drag and relatively strong colloidal forces that slow their downgradient translation relative to colloids in bulk fluid. Near-surface fluid domain colloids may reenter into the bulk fluid via diffusion (nanoparticles) or expulsion at rear flow stagnation zones, they may immobilize (attach) via primary minimum interactions, or they may move along a grain-to-grain contact to the near-surface fluid domain of an adjacent grain. We introduce a simple model that accounts for all possible permutations of mass transfer within a dual pore and grain network. The primary phenomena thereby represented in the model are mass transfer of colloids between the bulk and near-surface fluid domains and immobilization. Colloid movement is described by a Markov chain, i.e., a sequence of trials in a 1-D network of unit cells, which contain a pore and a grain. Using combinatorial analysis, which utilizes the binomial coefficient, we derive the residence time distribution, i.e., an inventory of the discrete colloid travel times through the network and of their probabilities to occur. To parameterize the network model, we performed mechanistic pore-scale simulations in a single unit cell that determined the likelihoods and timescales associated with the above colloid mass transfer processes. We found that intergrain transport of colloids in the near-surface fluid domain can cause extended tailing, which has traditionally been attributed to hydrodynamic dispersion emanating from flow tortuosity of solute trajectories. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000407895000024 |
WOS关键词 | SATURATED POROUS-MEDIA ; COLLECTOR EFFICIENCY ; CHEMICAL CONDITIONS ; BROWNIAN PARTICLES ; ENERGY BARRIERS ; BED FILTRATION ; SAND COLUMNS ; PORE-SCALE ; DEPOSITION ; RETENTION |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/21773 |
专题 | 资源环境科学 |
作者单位 | 1.Columbia Univ, Dept Environm Hlth Sci, New York, NY 10027 USA; 2.Univ Utah, Dept Geol & Geophys, Salt Lake City, UT 84112 USA |
推荐引用方式 GB/T 7714 | Hilpert, Markus,Rasmuson, Anna,Johnson, William P.. A binomial modeling approach for upscaling colloid transport under unfavorable conditions: Emergent prediction of extended tailing[J]. WATER RESOURCES RESEARCH,2017,53(7). |
APA | Hilpert, Markus,Rasmuson, Anna,&Johnson, William P..(2017).A binomial modeling approach for upscaling colloid transport under unfavorable conditions: Emergent prediction of extended tailing.WATER RESOURCES RESEARCH,53(7). |
MLA | Hilpert, Markus,et al."A binomial modeling approach for upscaling colloid transport under unfavorable conditions: Emergent prediction of extended tailing".WATER RESOURCES RESEARCH 53.7(2017). |
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