Characterization of subsoil heterogeneity, estimation of grain size distribution and hydraulic conductivity at the Krauthausen test site using Cone Penetration Test

Tillmann, A.; Englert, Andreas; Nyári, Z.; Fejes, Imre; Vanderborght, Jan; Vereecken, Harry

doi:10.1016/j.jconhyd.2007.07.013

Cited by 36 publications

(29 citation statements)

References 9 publications

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“…The initial x -means extension of the k -means algorithm [30] uses splitting of the clusters after each k -means iteration to better fit the data according to the Bayesian Information Criterion (BIC) which approximates the hard to evaluate integrated likelihood where X represents the dataset, the maximum likelihood estimate of the parameters θ , M the model, v the number of parameters and m the number of data points.…”

Section: Methodsmentioning

confidence: 99%

Model-based classification of CPT data and automated lithostratigraphic mapping for high-resolution characterization of a heterogeneous sedimentary aquifer

et al. 2017

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Cone penetration testing (CPT) is one of the most efficient and versatile methods currently available for geotechnical, lithostratigraphic and hydrogeological site characterization. Currently available methods for soil behaviour type classification (SBT) of CPT data however have severe limitations, often restricting their application to a local scale. For parameterization of regional groundwater flow or geotechnical models, and delineation of regional hydro- or lithostratigraphy, regional SBT classification would be very useful. This paper investigates the use of model-based clustering for SBT classification, and the influence of different clustering approaches on the properties and spatial distribution of the obtained soil classes. We additionally propose a methodology for automated lithostratigraphic mapping of regionally occurring sedimentary units using SBT classification. The methodology is applied to a large CPT dataset, covering a groundwater basin of ~60 km2 with predominantly unconsolidated sandy sediments in northern Belgium. Results show that the model-based approach is superior in detecting the true lithological classes when compared to more frequently applied unsupervised classification approaches or literature classification diagrams. We demonstrate that automated mapping of lithostratigraphic units using advanced SBT classification techniques can provide a large gain in efficiency, compared to more time-consuming manual approaches and yields at least equally accurate results.

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Section: Methodsmentioning

confidence: 99%

Model-based classification of CPT data and automated lithostratigraphic mapping for high-resolution characterization of a heterogeneous sedimentary aquifer

et al. 2017

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“…The Krauthausen test site in Germany has been investigated by well logging, time-lapse tracer measurements (Vereecken et al, 2000;Kemna et al, 2002), cone penetration tests (Tillmann et al, 2008), direct-push hydraulics measurements (Gueting et al, 2017), and highresolution GPR-FWI (Gueting et al, 2015). These investigations allowed to derive the spatial variability of the basic aquifer parameters, transport properties, hydraulic conductivity and porosity.…”

Section: D Hydrogeological Model Of the Krauthausen Aquifermentioning

confidence: 99%

Time-lapse ground-penetrating radar full-waveform inversion to detect tracer plumes: A numerical study

Haruzi¹,

Gueting²,

Klotzsche³

et al. 2018

SEG Technical Program Expanded Abstracts 2018

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SummaryTime-lapse geophysical imaging of tracer tests is essential to infer channelized transport properties. Cross-hole ground-penetrating radar (GPR) tomography is a high resolution imaging method to characterize the near-surface. We present preliminary results of crosshole GPR fullwaveform inversion of time-lapse synthetic data during a saline tracer test. The tracer movement was obtained from a 3D transport simulation in a hydrogeological model representing the Krauthausen aquifer where in future also field tests will be performed. The full-waveform inversion accurately resolved the infiltrated tracer distribution in the plane within decimeter scale. The results indicate the potential of GPR full-waveform inversion for saline tracer detection and high-resolution time-lapse transport characterization.

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“…For example, the Auger hole method (Van Beers 1958;Tillmann et al 2008) and the slug test methods are well known in the United States [ASTM D5126-90 (2004)]. These methods can be performed below and above the water table (in saturated or unsaturated soil) via a borehole (ranging from a few centimeters to several decimeters in diameter) or at the surface.…”

Section: Experimental Measurementmentioning

confidence: 99%

Experimental Validation of an Method for In Situ Estimation of Hydraulic Conductivity of Water Treatment Granular Materials

Bouteldja¹,

Breul²,

Boissier³

2011

Geotech Geol Eng

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Domestic wastewater-treatment system is today a widely held technique. In order to evaluate the efficiency of these systems, it is necessary to determinate the in situ hydraulic conductivity of the water-treatment granular materials constituting them. The in situ measurement of the hydraulic conductivity of soils has proven to be imprecise, take a long time. Empirical equations based on the physical properties of soil have been proposed to overcome these difficulties. In this context, the originality of this paper is to propose an in situ method to obtain reliable input parameters for the predictive equations of Chapuis (Can Geotech J 41(5): [787][788][789][790][791][792][793][794][795] 2004) and Carrier (J Geotech Geoenviron Eng 129(11): 1054-1056, 2003) by using both a penetrometer and a geoendoscope. This method is described in the first part of this paper. Then, the validation of the method based on laboratory tests performed under controlled conditions for three kinds of soils is presented. Hydraulic conductivity obtained when applying the method is compared to that measured by a Darcy permeameter. The difference between these two hydraulic conductivities is less than 25%. Finally, the precision of the results is discussed.

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Characterization of subsoil heterogeneity, estimation of grain size distribution and hydraulic conductivity at the Krauthausen test site using Cone Penetration Test

Cited by 36 publications

References 9 publications

Model-based classification of CPT data and automated lithostratigraphic mapping for high-resolution characterization of a heterogeneous sedimentary aquifer

Model-based classification of CPT data and automated lithostratigraphic mapping for high-resolution characterization of a heterogeneous sedimentary aquifer

Time-lapse ground-penetrating radar full-waveform inversion to detect tracer plumes: A numerical study

Experimental Validation of an Method for In Situ Estimation of Hydraulic Conductivity of Water Treatment Granular Materials

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