Sensing the Presence and Transport of Engineered Nanoparticles in Saturated Porous Media using Spectral Induced Polarization (SIP) Method

2015 ◽  
Author(s):  
Gamal Z Abdel Aal* ◽  
Estella E Atekwana ◽  
Dale Werkema Jr.
Keyword(s):  
Porous Media ◽  
Induced Polarization ◽  
Engineered Nanoparticles ◽  
Saturated Porous Media ◽  
Spectral Induced Polarization

Critical Assessment of Models for Transport of Engineered Nanoparticles in Saturated Porous Media

2014 ◽  
Vol 48 (21) ◽  
pp. 12732-12741 ◽  
Author(s):  
Eli Goldberg ◽  
Martin Scheringer ◽  
Thomas D. Bucheli ◽  
Konrad Hungerbühler
Keyword(s):  
Porous Media ◽  
Critical Assessment ◽  
Engineered Nanoparticles ◽  
Saturated Porous Media

Spectral Induced Polarization Signatures of Mineral Precipitation and Hydroxide Adsorptionin in Porous Media

2012 ◽  
Author(s):  
Chi Zhang ◽  
Lee Slater ◽  
George Redden ◽  
Yoshiko Fujita ◽  
Timothy Johnson ◽  
...  
Keyword(s):  
Porous Media ◽  
Induced Polarization ◽  
Mineral Precipitation ◽  
Spectral Induced Polarization

Spectral Induced Polarization Signatures of Hydroxide Adsorption and Mineral Precipitation in Porous Media

2012 ◽  
Vol 46 (8) ◽  
pp. 4357-4364 ◽  
Author(s):  
Chi Zhang ◽  
Lee Slater ◽  
George Redden ◽  
Yoshiko Fujita ◽  
Timothy Johnson ◽  
...  
Keyword(s):  
Porous Media ◽  
Induced Polarization ◽  
Mineral Precipitation ◽  
Spectral Induced Polarization

scholarly journals Transport of N-CD and Pre-Sorbed Pb in Saturated Porous Media

Molecules ◽  
2020 ◽  
Vol 25 (23) ◽  
pp. 5518
Author(s):  
Salahaddin Kamrani ◽  
Vahab Amiri ◽  
Mosleh Kamrani ◽  
Mohammed Baalousha
Keyword(s):  
Porous Media ◽  
Ionic Strength ◽  
Water Solubility ◽  
Divalent Cations ◽  
High Water ◽  
Engineered Nanoparticles ◽  
Saturated Porous Media ◽  
Metal Affinity ◽  
Adsorption Affinity ◽  
New Type

Carbon dots (CDs) are a new type of nanomaterials of the carbon family with unique characteristics, such as their small size (e.g., <10 nm), high water solubility, low toxicity, and high metal affinity. Modification of CDs by Nitrogen functional groups (N-CDs) enhances their metal adsorption capacity. This study investigated the influences of pH (4, 6, and 9), ionic strength (1, 50, and 100 mM), and cation valency (Na+ and Ca2+) on the competitive adsorption of Pb to quartz and N-CD surfaces, the transport and retention of N-CDs in saturated porous media, and the capacity of N-CDs to mobilize pre-adsorbed Pb in quartz columns. Pb adsorption was higher on N-CDs than on quartz surfaces and decreased with increases in ionic strength (IS) and divalent cations (Ca2+) concentration. N-CD mobility in quartz columns was highest at pH of 9- and 1-mM monovalent cations (Na+) and decreased with decreases in pH and increases in ionic strength and ion valency. N-CDs mobilized pre-adsorbed Pb from quartz due to the higher adsorption affinity of Pb to N-CD than to quartz surfaces. These findings provide valuable insights into the transport, retention, and risk assessment of lead in the presence of carbon-based engineered nanoparticles.

Markov-chain Monte Carlo estimation of distributed Debye relaxations in spectral induced polarization

Geophysics ◽  
2012 ◽  
Vol 77 (2) ◽  
pp. E159-E170 ◽  
Author(s):  
John Keery ◽  
Andrew Binley ◽  
Ahmed Elshenawy ◽  
Jeremy Clifford
Keyword(s):  
Porous Media ◽  
Monte Carlo ◽  
Markov Chain ◽  
Markov Chain Monte Carlo ◽  
Physical Properties ◽  
Relaxation Times ◽  
Synthetic Data ◽  
Induced Polarization ◽  
Posterior Distributions ◽  
Spectral Induced Polarization

There is growing interest in the link between electrical polarization and physical properties of geologic porous media. In particular, spectral characteristics may be controlled by the same pore geometric properties that influence fluid permeability of such media. Various models have been proposed to describe the spectral-induced-polarization (SIP) response of permeable rocks, and the links between these models and hydraulic properties have been explored, albeit empirically. Computation of the uncertainties in the parameters of such electrical models is essential for effective use of these relationships. The formulation of an electrical dispersion model in terms of a distribution of relaxation times and associated chargeabilities has been demonstrated to be an effective generalized approach; however, thus far, such an approach has only been considered in a deterministic framework. Here, we formulate a spectral model based on a distribution of polarizations. By using a simple polynomial descriptor of such a distribution, we are able to cast the model in a stochastic manner and solve it using a Markov-chain Monte Carlo (McMC) sampler, thus allowing the computation of model-parameter uncertainties. We apply the model to synthetic data and demonstrate that the stochastic method can provide posterior distributions of model parameters with narrow bounds around the true values when little or no noise is added to the synthetic data, with posterior distributions that broaden with increasing noise. We also apply our model to experimental measurements of six sandstone samples and compare physical properties of a number of samples of porous media with stochastic estimates of characteristic relaxation times. We demonstrate the utility of our method on electrical spectra with different response characteristics and show that a single metric of relaxation time for the SIP response is not sufficient to provide clear insight into the physical characteristics of a sample.

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