In Situ Quantification of Cu(II) during an Electrodeposition Reaction Using Time-Domain NMR Relaxometry

2012 ◽  
Vol 84 (15) ◽  
pp. 6351-6354 ◽  
Author(s):  
Luiza M. S. Nunes ◽  
Paulo F. Cobra ◽  
Luis F. Cabeça ◽  
Lúcio L. Barbosa ◽  
Luiz A. Colnago
Keyword(s):  
Time Domain ◽  
Nmr Relaxometry

Measuring transient solute transport through the vadoze zone using time domain reflectometry

Soil Research ◽  
2001 ◽  
Vol 39 (6) ◽  
pp. 1359 ◽  
Author(s):  
I. Vogeler ◽  
S. Green ◽  
A. Nadler ◽  
C. Duwig
Keyword(s):  
Electrical Conductivity ◽  
Solute Transport ◽  
Time Domain ◽  
Deterministic Model ◽  
Soil Surface ◽  
Time Domain Reflectometry ◽  
Richards Equation ◽  
Electrical Conductivities ◽  
Destructive Measurement

Time domain reflectometry (TDR) was used to monitor the transport of conservative tracers in the field under transient water flow in a controlled experiment under a kiwifruit vine. A mixed pulse of chloride and bromide was applied to the soil surface of a 16 m2 plot that had been isolated from the surrounding orchard soil. The movement of this solute pulse was monitored by TDR. A total of 63 TDR probes were installed into the plot for daily measurements of both the volumetric water content (θ) and the bulk soil electrical conductivity (σa). These TDR-measured σa were converted into pore water electrical conductivities (σw) and solute concentrations using various θ–σa–σw relationships that were established in the laboratory on repacked soil. The depth-wise field TDR measurements were compared with destructive measurement of the solute concentrations at the end of the experiment. These results were also compared with predictions using a deterministic model of water and solute transport based on Richards’ equation, and the convection–dispersion equation. TDR was found to give a good indication of the shape of the solute profile with depth, but the concentration of solute was under- or over-estimated by up to 50%, depending on the θ–σa–σw relationships used. Thus TDR can be used to monitor in situ transport of contaminants. However, only rough estimates of the electrical conductivity of the soil solution can so far be obtained by TDR.

Study on the effects of wheat bran incorporation on water mobility and biopolymer behavior during bread making and storage using time-domain 1 H NMR relaxometry

2017 ◽  
Vol 236 ◽  
pp. 76-86 ◽  
Author(s):  
S. Hemdane ◽  
P.J. Jacobs ◽  
G.M. Bosmans ◽  
J. Verspreet ◽  
J.A. Delcour ◽  
...  
Keyword(s):  
Wheat Bran ◽  
Time Domain ◽  
Water Mobility ◽  
Bread Making ◽  
H Nmr ◽  
Nmr Relaxometry ◽  
And Storage

Monitoring the Effects of Ingredients and Baking Methods on Quality of Gluten-Free Cakes by Time-Domain (TD) NMR Relaxometry

2018 ◽  
Vol 11 (10) ◽  
pp. 1923-1933 ◽  
Author(s):  
Eda Yildiz ◽  
Selen Guner ◽  
Gulum Sumnu ◽  
Serpil Sahin ◽  
Mecit Halil Oztop
Keyword(s):  
Time Domain ◽  
Gluten Free ◽  
Nmr Relaxometry

An Innovative Use of TDR Probes: First Numerical Validations with a Coaxial Cable

2018 ◽  
Vol 23 (4) ◽  
pp. 437-442
Author(s):  
Raffaele Persico ◽  
Iman Farhat ◽  
Lourdes Farrugia ◽  
Sebastiano D'Amico ◽  
Charles Sammut
Keyword(s):  
Magnetic Properties ◽  
Transmission Line ◽  
Time Domain ◽  
Numerical Data ◽  
Time Domain Reflectometry ◽  
Coaxial Cable ◽  
Transmission Line Model ◽  
Properties Of Materials

In this paper we propose a study regarding some possibilities that can be offered by a time domain reflectometry (TDR) probe in retrieving both dielectric and magnetic properties of materials. This technique can be of interest for several applications, among which the characterization of soil in some situations. In particular, here we propose an extension of the paper “Retrieving electric and magnetic propetries of the soil in situ: New possibilities”, presented at the IWAGPR, held in Edinburgh in 2017, and as a new contribution we will validate a transmission line model with numerical data simulated by the CST code.

scholarly journals Multidisciplinary Characterization of Chlorinated Solvents Contamination and In-Situ Remediation with the Use of the Direct Current Resistivity and Time-Domain Induced Polarization Tomography

Geosciences ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 487 ◽  
Author(s):  
Aristeidis Nivorlis ◽  
Torleif Dahlin ◽  
Matteo Rossi ◽  
Nikolas Höglund ◽  
Charlotte Sparrenbom
Keyword(s):  
Direct Current ◽  
Time Domain ◽  
Chlorinated Solvents ◽  
Induced Polarization ◽  
Contaminated Sites ◽  
In Situ Remediation ◽  
Polarization Tomography ◽  
Refraction Tomography

Soil contamination is a widespread problem and action needs to be taken in order to prevent damage to the groundwater and the life around the contaminated sites. In Sweden, it is estimated that more than 80,000 sites are potentially contaminated, and therefore, there is a demand for investigations and further treatment of the soil. In this paper, we present the results from a methodology applied in a site contaminated with chlorinated solvents, for characterization of the contamination in order to plan the remediation and to follow-up the initial step of in-situ remediation in an efficient way. We utilized the results from three different methods; membrane interface probe for direct measurement of the contaminant concentrations; seismic refraction tomography for investigating the depth to the bedrock interface; and direct current resistivity and time-domain induced polarization tomography to acquire a high-resolution imaging of the electrical properties of the subsurface. The results indicate that our methodology is very promising in terms of site characterization, and furthermore, has great potential for real-time geophysical monitoring of contaminated sites in the future.

Thermo–time domain reflectometry method: Advances in monitoring in situ soil bulk density

2020 ◽  
Vol 84 (5) ◽  
pp. 1354-1360
Author(s):  
Yili Lu ◽  
Xiaona Liu ◽  
Meng Zhang ◽  
Joshua Heitman ◽  
Robert Horton ◽  
...  
Keyword(s):  
Bulk Density ◽  
Time Domain ◽  
Soil Bulk Density ◽  
Time Domain Reflectometry

In-situ heavy oil viscosity prediction at high temperatures using low-field NMR relaxometry and nonlinear least squares

Fuel ◽  
2020 ◽  
Vol 260 ◽  
pp. 116328 ◽  
Author(s):  
Strahinja Markovic ◽  
Jonathan L. Bryan ◽  
Aman Turakhanov ◽  
Alexey Cheremisin ◽  
Sudarshan A. Mehta ◽  
...  
Keyword(s):  
Least Squares ◽  
High Temperatures ◽  
Heavy Oil ◽  
Nonlinear Least Squares ◽  
Oil Viscosity ◽  
Low Field ◽  
Nmr Relaxometry ◽  
Viscosity Prediction ◽  
Low Field Nmr
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