Influence of mass transfer characteristics for DNAPL source depletion and contaminant flux in a highly characterized glaciofluvial aquifer

Maji, R.; Sudicky, Edward A.

doi:10.1016/j.jconhyd.2008.08.005

Cited by 51 publications

(62 citation statements)

References 70 publications

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“…The distance of the methods s2Dcd is comparable with that of the simulation method TProgs (transition probability/ Markov chain, TP/MC, Carle, 1996;Maji and Sudicky, 2008). The method that makes it possible to obtain a conductivity tensor closer to the reference is the one that uses it as a 3D training image.…”

Section: The Herten Aquifer Analogmentioning

confidence: 86%

“…Therefore, the simulations are performed using serial implementations, in order to have a fair comparison. (Maji and Sudicky, 2008); (c) paBor approach; (d) s2Dcd with no auxiliary variables; (e) s2Dcd with the coordinate z as auxiliary variable; (f) with the use of (a) as 3D training image. The background section along xz contains one of the six sections used as conditioning data, while the other section is placed in between two parallel sections of conditioning data.…”

Section: The Herten Aquifer Analogmentioning

confidence: 99%

“…Even if this feature should be confirmed by other case studies, the results shown here indicate that this criterion could be used as a comparison criterion to check the compatibility of 2D training images to be used for a joint simulation of a 3D block. (Maji and Sudicky, 2008); (f) 1 realization obtained using the reference image as TI.…”

Section: Check Compatibility Among Training Imagesmentioning

confidence: 99%

See 2 more Smart Citations

3D multiple-point statistics simulation using 2D training images

Comunian¹,

Renard²,

Straubhaar³

2012

Computers & Geosciences

129

101

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a b s t r a c tOne of the main issues in the application of multiple-point statistics (MPS) to the simulation of threedimensional (3D) blocks is the lack of a suitable 3D training image. In this work, we compare three methods of overcoming this issue using information coming from bidimensional (2D) training images. One approach is based on the aggregation of probabilities. The other approaches are novel. One relies on merging the lists obtained using the impala algorithm from diverse 2D training images, creating a list of compatible data events that is then used for the MPS simulation. The other (s2Dcd) is based on sequential simulations of 2D slices constrained by the conditioning data computed at the previous simulation steps. These three methods are tested on the reproduction of two 3D images that are used as references, and on a real case study where two training images of sedimentary structures are considered. The tests show that it is possible to obtain 3D MPS simulations with at least two 2D training images. The simulations obtained, in particular those obtained with the s2Dcd method, are close to the references, according to a number of comparison criteria. The CPU time required to simulate with the method s2Dcd is from two to four orders of magnitude smaller than the one required by a MPS simulation performed using a 3D training image, while the results obtained are comparable. This computational efficiency and the possibility of using MPS for 3D simulation without the need for a 3D training image facilitates the inclusion of MPS in Monte Carlo, uncertainty evaluation, and stochastic inverse problems frameworks.

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Section: The Herten Aquifer Analogmentioning

confidence: 86%

Section: The Herten Aquifer Analogmentioning

confidence: 99%

Section: Check Compatibility Among Training Imagesmentioning

confidence: 99%

See 1 more Smart Citation

3D multiple-point statistics simulation using 2D training images

Comunian¹,

Renard²,

Straubhaar³

2012

Computers & Geosciences

129

101

View full text Add to dashboard Cite

show abstract

“…The specific storage values, assigned to each hydrofacies group were taken from data reported in literature [Domenico and Mifflin, 1965]. Maji and Sudicky [2008] interpolated between the six profiles and translated the gathered information into a 3-D hydraulic parameter distribution. Meanwhile an alternative interpolation based on multiple point statistics is also available .…”

Section: Numerical Example Of the Attenuation Inversion Based On An Amentioning

confidence: 99%

Rapid field application of hydraulic tomography for resolving aquifer heterogeneity in unconsolidated sediments

Brauchler

et al. 2013

Water Resources Research

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[1] A new framework is introduced for hydraulic tomography application and validation in the field. Our motivation is the need for methods that are both efficient and expressive for resolving the spatial distribution of heterogeneous hydraulic properties in aquifers. The presented strategy involves time-efficient field experiments and a computationally efficient inversion scheme. By exploiting the early travel time diagnostics of the hydraulic pressure pulses recorded during tomographic cross-well tests, and new application of attenuation inversion, only short-term pumping tests are required. Many of these can be conducted in one day. The procedure is developed by a numerical experiment with a highly heterogeneous aquifer analogue and then applied to a field case with a shallow, unconsolidated sedimentary aquifer, the Stegem€ uhle site in Germany. It is demonstrated that the performance of a suite of tomographic short-term pumping tests, data processing and inversion for the reconstruction of heterogeneous diffusivity and specific storage distribution is possible within one day. Additionally, direct-push injection logging is performed at the field site, and the obtained field data is utilized for successful validation of the hydraulic tomograms. We also compare both methods with respect to the necessary requirements, time demand in the field and complexity of interpretation.Citation: Brauchler, R., R. Hu, L. Hu, S. Jim enez, P. Bayer, P. Dietrich, and T. Ptak (2013), Rapid field application of hydraulic tomography for resolving aquifer heterogeneity in unconsolidated sediments, Water Resour.

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“…The variability of hydraulic conductivity may more or less influence the pathways of contaminant transport. If the variability is high, the assumption of homogeneous zones within the aquifer might have overestimated the predicted remediation efficiency (Maji and Sudicky, 2008;Rauber et al, 1998).…”

Section: Discussionmentioning

confidence: 99%

Modeling subsurface transport in extensive glaciofluvial and littoral sediments to remediate a municipal drinking water aquifer

Bergvall

Grip

Sjöström

et al. 2011

Hydrol. Earth Syst. Sci.

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Abstract. Few studies have been carried out that cover the entire transport process of pesticides, from application at the soil surface, through subsurface transport, to contamination of drinking water in esker aquifers. In formerly glaciated regions, such as Scandinavia, many of the most important groundwater resources are situated in glaciofluvial eskers. The purpose of the present study was to model and identify significant processes that govern subsurface transport of pesticides in extensive glaciofluvial and littoral sediments. To simulate the transport processes, we coupled a vadose zone model at soil profile scale to a regional groundwater flow model. The model was applied to a municipal drinking-water aquifer, contaminated with the pesticide-metabolite BAM (2,6-dichlorobenzoamide). At regional scale, with the combination of a ten-meter-deep vadose zone and coarse texture, the observed concentrations could be described by the model without assuming preferential flow. A sensitivity analysis revealed that hydraulic conductivity in the aquifer and infiltration rate accounted for almost half of the model uncertainty. The calibrated model was applied to optimize the location of extraction wells for remediation, which were used to validate the predictive modeling. Running a worst-case scenario, the model showed that the establishment of two remediation wells would clean the aquifer in four years, compared to nine years without them. Further development of the model would require additional field measurements in order to improve the description of macrodispersion in deep, sandy vadose zones. We also suggest that future research should focus on characterization of the variability of hydraulic conductivity and its effect on contaminant transport in eskers.

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Influence of mass transfer characteristics for DNAPL source depletion and contaminant flux in a highly characterized glaciofluvial aquifer

Cited by 51 publications

References 70 publications

3D multiple-point statistics simulation using 2D training images

3D multiple-point statistics simulation using 2D training images

Rapid field application of hydraulic tomography for resolving aquifer heterogeneity in unconsolidated sediments

Modeling subsurface transport in extensive glaciofluvial and littoral sediments to remediate a municipal drinking water aquifer

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