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17 results for “Spectral induced polarization”
Spectral Induced Polarization (SIP) field data sets for comparison between time and frequency domain (Martin et al. 2020)
<p>Data and scripts for the scientific journal article:</p> <p>Martin, T., Günther, T., Flores Orozco, A. & Dahlin, T. (2020): <br> Evaluation of spectral induced polarization field measurements in time and frequency domain, <br> J. Appl. Geophys., 180, 104141, doi:10.1016/j.jappgeo.2020.104141.</p> <p>The paper deals with the comparison of instruments for measuring induced polarization (IP)<br> data, both in frequency domain (FD) as well in time-domain. Four instruments have been used<br> to measure two profiles (IP1: a=1m, IP5: a=5m) over a known blackshale near the town Schleiz<br> in Thuringia, Germany.</p> <p>Preface: Our vision is not only to publish scientific results, but also openly demonstrate<br> how the results have been produced. This includes the raw data, processed data and inversion<br> results, but also all scripts that have been used for it in a reproducible way.<br> The scripts use the pyBERT (Python Boundless Electrical Resistivity Tomography) based on the<br> pyGIMLi (Python Geophysical Inversion and Modelling Library) computational framework.<br> Here, we used the pyBERT version 2.3.1 based on pygimli 1.1.1, but it should be reachable by<br> similar versions as well. All is based on the classes FDIPdata and TDIPdata.<br> For installing, we refer to the webpages www.pygimli.org and gitlab.com/resistivity-net/bert</p> <p>Folders:<br> figures figures used for production process, generated by the scripts in the folder<br> scripts Python scripts for generating the pdf files<br> IP1 data for the shallow profile using an electrode spacing of a=1m<br> IP5 data for the deeper profile using an electrode spacing of a=5m</p> <p>Each of the two data folders contains data and inversion results in separated folder named<br> according to the instrument names: <br> * SIP256C (Radic Research) - FDIP instrument with remote units (intelligent electrodes)<br> * DAS-1 (Multi-Phase Technology) - FDIP and TDIP instrument using multi-core cables<br> * Terrameter LS2 (GuidelineGeo ABEM) - TDIP instrument using multi-core cables<br> * Syscal Pro Switch72 (Iris instruments) - TDIP instrument using multi-core cables</p> <p>Please see readme files in the individual folders for specific information.</p> <p>Notice: In additon to the published results, we also added more data from the field <br> measurements which completes our results, e.g. <br> - TDIP data with 8s aquisition time<br> - all four instruments for the long profile IP5</p> <p>Complete full-waveform data for the Terrameter LS2 are available on request.</p>
Spectral induced polarization of non-consolidated heterogeneous clay mixtures
<p>We present a spectral induced polarization dataset on heterogeneous mixtures of illite and red montmorillonite, with two longitudinal, and one transversal arrangement. Additionally, there is a 50-50% in volume content homogeneous mixture of illite and red montmorillonite.</p> <p>Each file has its header, describing each column. The ReadMe file also explains the content and format of each dataset.</p>
Experimental characterization of transversal-heterogeneous clay mixtures by the spectral induced polarization method
<p>In this folder you will find multiple datasets (*.txt) from SIP measurements of transversal-heterogeneous clay mixtures using spectral induced polarization acquired between April and May 2022. Additionally, we include two python codes to read and process the data.</p> <p>SIP_Plot_ReWrite.py is a python program aimed to process a .res file from a SIP Fuchs III.<br> It gives a .txt file with the frequency, the resistivity, the phase and the associated errors.<br> In order for the program to give the resistivity, you will need to enter the geometric factor of the studied sample.</p> <p><br> The six text files in the folder (excluding README.txt) were created using SIP_Plot_ReWrite.py.</p> <p>IL_1by1.txt and IL_1by1_V2.txt are from two different homogeneous mixtures of illite and water with a concentration of initially 0.01 mol/L of NaCl.<br> MtR_1by1.txt is from a homogeneous mixture of red montmorillonite and water with a concentration of initially 0.01 mol/L of NaCl.</p> <p>IL_MtR_1by2.txt, IL_MtR_1by4.txt and IL_MtR_1by8.txt are from three transversal-heterogeneous mixtures of illite and red montmorillonite with water containing a concentration of initially 0.01 mol/L of NaCl.</p> <p><br> For IL_MtR_1by2.txt, there was one portion of each clay types, occupying a half of the cylindrical container each.</p> <p><br> For IL_MtR_1by4.txt, there was two portions of each clay types, occupying a quarter of the cylindrical container each.</p> <p><br> These two samples were made using the same mixtures as for IL_1by1.txt and MtR_1by1.txt.</p> <p><br> For IL_MtR_1by8.txt, there was four portions of each clay types, occupying an eighth of the cylindrical container each.<br> This sample was made using the same mixtures as for IL_1by1_V2.txt and MtR_1by1.txt.</p> <p><br> TestDoubleColeColeFit.py is a python program which optimizes a double Cole-Cole model by multiplication on SIP data.<br> This program needs a file with the same structure as the .txt file made by SIP_Plot_ReWrite.py.</p>
Data for Spectral Induced Polarization of ZVI-AC-Sand Mixtures in Groundwater Remediation
<p>这是手稿“揭开地下水修复中 ZVI-AC-Sand 混合物的光谱诱导极化响应”的初始数据</p>
Spectral induced polarization of non-consolidated clays
<p>We present a spectral induced polarization dataset on four different types of clay (red and green montmorillonite samples, kaolinite sample, and illite sample) at five different salinities (from de-ionised water to 1 mol/L NaCl), and additionally two other clay samples (beige montmorillonite sample and Boom clay sample) at three differente salinities (from de-ionised water to 1 mol/L NaCl).</p> <p>Each file has its header, describing each column.</p> <p>The logic of the filenames is: "Clay type_salinity_SIP_raw".txt</p> <p><br> These results are published in Mendieta et al. (2021):<br> https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020JB021125 (pre-print: doi:10.1002/essoar.10505885.2)</p>
Electronic appendix to: Spectral Induced Polarization (SIP) of Denitrification-Driven Microbial Activity in Column Experiments Packed with Calcareous Aquifer Sediments
<p>This is the electronic appendix of the publication <br> C. Strobel, S. Abramov, J. A. Huisman, O.A. Cirpka, A. Mellage (2022): Spectral Induced Polarization (SIP) of Denitrification-Driven Microbial Activity in Column Experiments Packed with Calcareous Aquifer Sediments (submitted)</p>
Datasets used in 'Streambed hydraulic conductivity estimated by spectral induced polarization imaging can help to improve groundwater modeling'
<p>These datasets pertain to the manuscript entitled 'Streambed hydraulic conductivity estimated by spectral induced polarization imaging can help to improve groundwater modeling', which is currently submitted for revision in Water Resources Research. They comprise raw data from measurements taken in the field at 2 sites in terms of (1) pressure time series during the performed slug tests, (2) impedance from spectral induced polarization, (3) submersion levels of the used electrodes below the top of the water column, and (4) three-dimensional Cartesian coordinates relating the measurements spatially. The coordinates have been projected to a local coordinate system for each site, to comply with a non-disclosure agreement of the measurement locations. The projection of the coordinates still allows to fully reproduce the presented results, if using the methods described in the manuscript. The naming convention throughout the datasets is consistent with site labels used in the manuscript. All data is given as comma-separated values with intuitive file names and self-explanatory headers containing a list of field names. The slug test data includes multiple repetitions of the same measurement, and the impedance measurements contain normal as well as reciprocal readings – as described in the manuscript.</p> <p>The data is separated into two compressed file archives, named according to the site names given in the manuscript. Each file pertaining to slug tests at a certain location, in the subfolder “slugTestRecordings” has the following naming convention: “<locationTag>_<finalDepth>.csv”, where <locationTag> corresponds to the local coordinates given in “coordinates.txt”, and where <finalDepth> is an integer describing the largest depth in cm at which a slug test was performed according to the protocol described in the manuscript. Each file pertaining to impedance measurements at a certain profile, in the subfolder “SIPRecordings”, has the following naming convention: “<locationTag>_<frequency>.dat”, where <locationTag> corresponds to the local coordinates given in “coordinates.txt”, and where <frequency> is a zero-padded integer describing the measurement frequency in Hz at which the measurement was performed according to the protocol described in the manuscript. Submersion levels of the electrodes below the top of the stream’s water column are given in m in the file “submersionLevels.txt”, corresponding to the local coordinates given in “coordinates.txt”. The local coordinates given in m in “coordinates.txt” have the following convention for the column “locationTag”: “<profileTag>-<electrodeNumber>, where <profileTag> pertains to a name of the electrical array and <electrodeNumber”> is a continuous number for the electrode. Slug tests were exclusively perfomed at the location of electrodes and files are, thus, as described above, named accordingly.</p>
Spectral induced polarization of calcite precipitation: 2D experimental pore scale observation
<p>This data will be available after publication.</p>
DATASET: Tracking microbial movement in saturated media with spectral induced polarization
<p>Dataset for Tracking microbial movement in saturated media with spectral induced polarization by Saneiyan et al. </p> <p> </p> <p><em>Abstract</em></p> <p>Pathogenic microorganisms in the subsurface can contaminate the soil and water supplies potentially posing great danger to human health. Early contamination detection routines rely on sparse direct sampling which is spatiotemporally limited. Thus, the path of microorganisms in the subsurface remains ambiguous and this can cause delays in detection of biohazardous threats. The geophysical spectral induced polarization (SIP) technique, sensitive to microbe’s presence and activity in porous media, is a promising method to monitor microbial transport pathways. Here we evaluated the efficiency of SIP in monitoring the chemotactic movement of Sporosarcina pasteurii in saturated porous media. A cylindrical sample holder was packed with Ottawa sand and saturated with sterile KCl solution to allow free movement of the microbes. The sample holder was oriented vertically and S. pasteurii was introduced at the bottom, allowing the movement of the microbes against gravity, towards a carbon source available at the top of the column. Temporal SIP measurements were collected at 3 regions of the sample holder: bottom (microbial injection point), middle and top (carbon source). Both the real (σ') and the imaginary (σ'') conductivity parts of the SIP signal increased over time with the σ^'' showing a peak signal magnitude following the upward movement of the microbes. We repeated the experiment excluding the carbon source in experiment 2 and omitting microbial injection in experiment 3. Unlike experiment 1, we did not observe any significant SIP signal changes in these two experiments. Our study is indicating there is a strong SIP signal correlation with microbial chemotaxis.</p> <p> </p>
The influence of Cu/Na concentration ratio, pH and ionic strength on the spectral induced polarization signature of saturated silica sand
<p>The file contains the complete spectra of real conductivity, quadrature conductivity and phase for each of the 25 samples. The data are first divided by set and then combined.</p>
Spectral induced polarization signatures of microbial nitrate reduction in unsaturated sediment columns
<p>This file contains the SIP spectra data of nitrate bioreduction experiments promoted by <em>Shewanella oneidensis strain </em>MR-1 (Exp. 1-3) in unsaturated coarse H2C and fine H2F Hanford sediments. The data are sorted by the phase angle (mrads), quadrature (imaginary) and in-phase (real) conductivity (mS/m). </p>
Modeling plant roots spectral induced polarization signature - data
<p>Data used for Figures</p>
Non-invasive monitoring of a reactive soil transition zone during water table fluctuations using spectral induced polarization (SIP) and electrodic potential (EP)
<p>Transition zones separating the unsaturated and saturated domains in soils are a hotspot for biogeochemical activity. They are challenging to study because they are dynamic, requiring high resolution temporal and spatial data acquisition methods to capture the biogeochemical processes across the water table. Non-invasive geophysical techniques, such as spectral induced polarization (SIP) and electrodic potential (EP), offer comparatively inexpensive monitoring approaches that yield data on changes in soil electrical properties, driven by reactive processes at high spatial and temporal resolutions. We investigated SIP and EP signal variations in artificial soil-filled columns, experiencing periodic water table fluctuations in order to: (1) assess the effectiveness of SIP and EP in monitoring a complex soil transition zone, and (2) couple the measured geophysical signals to changes in physical, chemical and microbial properties. SIP responses showed a clear dependence on the depth-distribution of microbial biomass. Dynamic imaginary conductivity (<em>σ''</em>) responses were only detected in the water table fluctuation zone and, in contrast to real conductivity (<em>σ'</em>) data, did not exhibit a direct soil moisture driven dependence. We attribute the observed dynamics in <em>σ'' </em>to microbially driven reactions. An EP anomaly arose concurrent to the production of SO<sub>4</sub><sup>2- </sup>as a result of oxygenation at depth during drainage of the columns. Our findings show that continuous SIP and EP signals, in conjunction with periodic measurements of geochemical indicators, can help determine the location and temporal variability of biogeochemical activity and be used to monitor targeted reaction zones and pathways in complex soil environments.</p>
Statistical analysis for biogeochemical processes in a sandy column with dynamic hydrologic regimes using spectral induced polarization (SIP) and self-potential (SP)
<p>Dataset for the manuscript: Non-invasive monitoring of nitrogen transformation processes at a dynamic capillary fringe using spectral induced polarization (SIP) and self-potential (SP).</p>
Modeling and Experimental Study of The Effect of Pore Water Velocity on the Spectral Induced Polarization Signature in Porous Media - Dataset
<p>Readme file is attached to every zip file.</p>
Experimental investigations on laboratory samples regarding the connection of spectral induced polarization to heterogeneity of hydraulic conductivity
<div>Author: Robert Herold</div> <div>Date: 07.06.2024</div> <div>Institution: Technical University of Berlin</div> <div>Publication title: Experimental investigations on laboratory samples regarding the connection of </div> <div>spectral induced polarization to heterogeneity of hydraulic conductivity</div> <div>Publication authors: Robert Herold (1), Gulmira Beisembina (1), Peter Dietrich (2), Frank Börner (1,3)</div> <div>Affiliations: 1) Institute For Applied Geophysics, Technical University of Berlin, Berlin, Germany</div> <div>2) Department Monitoring Und Erkundungstechnologien, Helmoltz-Zentrum Für Umweltforschung, Leipzig, Germany</div> <div>3) Dresden Groundwater Research Centre, Dresden, Germany</div> <div>Funding: The work of this paper is part of the research project “Hydraulic connectivity in near-surface, </div> <div>unconsolidated, porous aquifers” (FKZ BO 1082/12-1; DI 833/18-1) which is funded and supported by the </div> <div>German Science Foundation (DFG).</div> <div>Publishing Journal: Environmental Earth Sciences, Springer Nature</div> <div> </div> <div>This folder contains the data, scripts and figures related to the aforementioned publication. The data and scripts are</div> <div>organized in two seperate folders respectively. One folder contains the initial, measured SIP data, the other folder </div> <div>contains SIP data that has been processed as described in the publication, aswell as files that contain information about</div> <div>hydraulic conductivity measurements and auxiliary information. The figure folder cotains diagrams of the results and </div> <div>drawings and photographs of the measurement set-up.</div>
Spectral induced polarization of a natural soil with varying biochar content
<p>This dataset contains measurements of spectral induced polarization from mixtures of a natural soil and biochar. The mixtures were done at different biochar contents (wt. %): 0%, 0.1%, 1%, 5%, and 10%.</p> <p>There is a README file explaining the structure of the files.</p>
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