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Geosciences
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Tomographic Imaging of Aquifer Hydraulic Properties
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Tomographic Imaging of Aquifer Hydraulic Properties

A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Hydrogeology".

Deadline for manuscript submissions: closed (15 November 2020) | Viewed by 6551

Special Issue Editor

Dr. Maria Klepikova

E-Mail Website
Guest Editor
Institute of Earth Sciences, University of Lausanne, 1015 Lausanne, Switzerland
Interests: hydrogeology; geothermics; heat transfer; inverse problems; hydrogeophysics; fractured media; alluvial aquifers; groundwater

Special Issue Information

Dear Colleagues,

This Special Issue of Geosciences aims to gather high quality original research articles, reviews, and technical notes on the use of tomographic approaches to characterize heterogeneity in aquifer hydraulic properties.

Characterizing subsurface heterogeneity in the sediment and rock properties, which controls groundwater flow, solute and heat transport represents a fundamental challenge for hydrogeology. Traditional hydrogeologic techniques, like laboratory analysis of sampled cores and single- and cross-borehole hydraulics and tracer tests, have significant limitations for describing the spatial variability in hydraulic parameters over scales relevant for groundwater models.

Tomographic approaches provide the most detailed and reliable information about the spatial heterogeneity of the hydraulic properties of aquifers. The tomography principle involves successively changing the source and monitoring points, thus allowing us to obtain more information on the spatial distribution of hydraulic properties. Although tomographic approaches have been explored for diverse applications using different data types (pumping/injection tests, flowmeter tests, solute and thermal tracer tests, slug tests, borehole temperature profiles, pneumatic tests) and using various heterogeneity mapping approaches, they are still in the early stage of development.

The main objective of this Special Issue is to collect updated contributions on the topic of tomographic imaging of aquifer hydraulic properties to discuss the latest advances, lessons learned, and experiences gained. We encourage you to send us a short abstract outlining the purpose of your research and the principal results obtained to verify in an early stage if the contribution you intend to submit fits the objectives of the Special Issue. We remain at your disposal for more information

Dr. Maria Klepikova
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Geosciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • hydraulic tomography
  • tracer tomography
  • thermal tracer tomography
  • inverse modelling
  • cross-borehole tests
  • heterogeneity

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Published Papers (2 papers)

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Research

30 pages, 7898 KiB  
Article
Comparison of Two Ensemble-Kalman Filter Based Methods for Estimating Aquifer Parameters from Real 3-D Hydraulic and Tracer Tomographic Tests
by Emilio Sánchez-León, Carsten Leven, Daniel Erdal and Olaf A. Cirpka
Geosciences 2020, 10(11), 462; https://doi.org/10.3390/geosciences10110462 - 16 Nov 2020
Cited by 6 | Viewed by 2938
Abstract
Pumping and tracer tests are site-investigation techniques frequently used to determine hydraulic conductivity. Tomographic test layouts, in which multiple tests with different combinations of injection and observation wells are performed, gain a better insight into spatial variability. While hydraulic tomography has repeatedly been [...] Read more.
Pumping and tracer tests are site-investigation techniques frequently used to determine hydraulic conductivity. Tomographic test layouts, in which multiple tests with different combinations of injection and observation wells are performed, gain a better insight into spatial variability. While hydraulic tomography has repeatedly been applied in the field, tracer tomography lags behind. In a previous publication, we presented a synthetic study to investigate whether the ensemble Kalman Filter (EnKF) or the Kalman Ensemble Generator (KEG) performs better in inverting hydraulic- and tracer-tomographic data. In this work, we develop an experimental method for solute-tracer tomography using fluorescein as a conservative tracer. We performed hydraulic- and tracer-tomographic tests at the Lauswiesen site in Germany. We analyzed transient drawdown and concentration data with the EnKF and steady-state hydraulic heads and mean tracer arrival times with the KEG, obtaining more stable results with the KEG at lower computational costs. The spatial distribution of the estimated hydraulic conductivity field agreed with earlier descriptions of the aquifer at the site. This study narrows the gap between numerical studies and field applications for aquifer characterization at high resolution, showing the potential of combining ensemble-Kalman filter based methods with data collected from hydraulic and solute-tracer tomographic experiments. Full article
(This article belongs to the Special Issue Tomographic Imaging of Aquifer Hydraulic Properties)
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27 pages, 5239 KiB  
Article
Comparison of Two Ensemble Kalman-Based Methods for Estimating Aquifer Parameters from Virtual 2-D Hydraulic and Tracer Tomographic Tests
by Emilio Sánchez-León, Daniel Erdal, Carsten Leven and Olaf A. Cirpka
Geosciences 2020, 10(7), 276; https://doi.org/10.3390/geosciences10070276 - 17 Jul 2020
Cited by 8 | Viewed by 3051
Abstract
We compare two ensemble Kalman-based methods to estimate the hydraulic conductivity field of an aquifer from data of hydraulic and tracer tomographic experiments: (i) the Ensemble Kalman Filter (EnKF) and (ii) the Kalman Ensemble Generator (KEG). We generated synthetic drawdown and tracer data [...] Read more.
We compare two ensemble Kalman-based methods to estimate the hydraulic conductivity field of an aquifer from data of hydraulic and tracer tomographic experiments: (i) the Ensemble Kalman Filter (EnKF) and (ii) the Kalman Ensemble Generator (KEG). We generated synthetic drawdown and tracer data by simulating two pumping tests, each followed by a tracer test. Parameter updating with the EnKF is performed using the full transient signal. For hydraulic data, we use the standard update scheme of the EnKF with damping, whereas for concentration data, we apply a restart scheme, in which solute transport is resimulated from time zero to the next measurement time after each parameter update. In the KEG, we iteratively assimilate all observations simultaneously, here inverting steady-state heads and mean tracer arrival times. The inversion with the dampened EnKF worked well for the transient pumping-tests, but less for the tracer tests. The KEG produced similar estimates of hydraulic conductivity but at significantly lower costs. We conclude that parameter estimation in well-defined hydraulic tests can be done very efficiently by iterative ensemble Kalman methods, and ambiguity between state and parameter updates can be completely avoided by assimilating temporal moments of concentration data rather than the time series themselves. Full article
(This article belongs to the Special Issue Tomographic Imaging of Aquifer Hydraulic Properties)
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