Multi-scale investigations of carboxymethyl cellulose- coated nanoscale zero valent iron particle transport in porous media
Bibliographic record
Abstract
Subsurface injection of nano scale zero valent iron (NZVI) particles is an emerging technology for in situ remediation of the sites contaminated by toxic contaminants such as chlorinated organic dense non aqueous phase liquids (DNAPLs) and heavy metals. One of the key challenges in applying NZVI particles for remediation at the field scale is that NZVI particles are not readily transported in subsurface porous media. The overall objective of this research is to address this challenge by conducting a number of column experiments and 2-D pilot scale tank experiments as well as by exploring the deposition mechanics of metal nanoparticles theoretically. Although numerous studies have focused the stability and transport of polymer/polyelectrolyte coated NZVI particles, the comparison of the effect of the same type of polyelectrolyte stabilizer with different molecular weight on the stability and transport of the corresponding coated NZVI particles has not been systematically conducted to date. Varying molecular weights of homologous polyelectrolytes can cause changes in viscosity and rheology in free solution, and alter the extent of colloidal stability when coated on the nanoparticles. Furthermore, most of the studies on NZVI particle transport have been conducted in the vertically placed columns, which are not representative with the actual flow orientation in field, leading to a potential difference of transport performance of NZVI particles between the commonly used vertical flow orientation and the horizontal flow model. In addition, the scale-up effects (from laboratory-scale column to pilot-scale or field-scale demonstrations) on NZVI transport are reported. In this study, a thorough investigation on NZVI transport is conducted in a 2-D pilot-scale tank to shed some light on the transport performance of NZVI particles under conditions that are more close to actual circumstances. Finally, to calculate the deposition rate coefficient of metal nanoparticles during transport, a considerable number of studies on NZVI particles transport employed equations for predicting the single collector contact efficiency that are developed on the basis of the numerical calculations for common colloidal particles such as latex particles, which have smaller densities than those of metal particles. Taking the horizontal flow mode and the density effects for metal nanoparticles into consideration, a new methodology is developed in three dimensions (3-D) to more precisely predict the single collector efficiency of NZVI particles.In the first study, the influence of the molecular weight of the polyelectrolyte grafted on NZVI particle on its stability and transport was investigated. Three carboxymethyl celluloses (CMC) with different molecular weights (90,000 Da, 250,000 Da and 700,000 Da) were used to stabilize NZVI particles. The comparison of the results revealed that the stability and transport of NZVI particles were improved significantly by CMC with high molecular weight, due to its high viscosity property. In the second study, the effects of gravity on NZVI particle during its transport were extensively assessed in vertical and horizontal placed columns under different conditions (mean sand diameters and NZVI concentrations). The results indicated that the gravity forces significantly reduced NZVI particles transport in coarse sand and at high NZVI concentration in horizontally placed columns. To thoroughly study the impact of horizontal orientation flow on the transport of NZVI particles at a larger scale, a series of transport experiments were conducted in a pilot-scale 2-D tank. Furthermore, to address the challenges met in predicting the single collector efficiency in horizontal orientation flow mode, a methodology based on trajectory analysis of particles around a Happel sphere-in-cell model for porous media in 3-D was developed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".