Infiltration and redistribution of LNAPL into unsaturated layered porous media

Wipfler, E.L.; Ness, M.; Breedveld, Gijs D.; Marsman, A.; Zee, S.E.A.T.M. van der

doi:10.1016/j.jconhyd.2003.09.004

Cited by 38 publications

(11 citation statements)

References 19 publications

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“…は，その論文の考察のなかで水-空気-NAPL3相流数値解析によりNAPLの移動を予測するためにはNAPL残留飽和度を考慮する必要性を指摘した．同様な実験と解析は，Wipfler et al 11) によっても行われている．Wipfler et al 11) は，幅40cm，高さ33.5cm，奥行2.5cmの2次元水槽において，ジェット燃料(Jet-fuel A-1;Statoil, Norway)を用いて NAPLの浸透実験を行い，NAPLの残留飽和度を考慮せ…”

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Estimation of Effects on Napl Residual Saturation for Airwater-Napl Phase Flow in Porous Media

義彦¹,

周佑²,

秋博³

2010

JSCE JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING

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Section: )unclassified

Estimation of Effects on Napl Residual Saturation for Airwater-Napl Phase Flow in Porous Media

義彦¹,

周佑²,

秋博³

2010

JSCE JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING

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“…Complex dependencies of LNAPL distribution on soil layering were found. Wipfler et al [2004] show how capillarity contrasts between soil layers were the main controlling factors in LNAPL (jet fuel A‐1, density 0.8 g cm −3 ) migration in unsaturated zones. Catalan and Dullien [1995] also studied the effects of different permeability lenses on the distribution and hydraulic recovery of LNAPL in laboratory sand packs.…”

Section: Introductionmentioning

confidence: 96%

Characteristics of light nonaqueous phase liquid recovery in the presence of fine‐scale soil layering

Johnston

Trefry

2009

Water Resources Research

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[1] The effects of fine-scale layering of soil properties on light nonaqueous phase liquid (LNAPL) recovery using pumped groundwater drawdown were investigated using a Monte Carlo approach. Three-dimensional simulations were performed to study the characteristics of a variety of measures describing LNAPL recovery in heterogeneous sandy aquifers. Heterogeneity models included both uncorrelated and correlated vertical permeability distributions, with both permeability-scaled and unscaled retention characteristics. Lognormal permeability variances of 0.594 and 1.188 were considered. The Monte Carlo ensemble mean LNAPL recovery rates and cumulative recovery volumes differ significantly from homogeneous soil models. The ensemble variances are large, and confidence intervals on recovery measures are wide. Generally, lognormality is not preserved; recovery rates and volumes display asymmetric densities with standard deviations of the order of the means. Overall recovery efficiency depends critically on the layer permeability at specific elevations. Practical outcomes for field practitioners are discussed including the degree to which substantially increased times may be required for LNAPL recovery and the increased occurrence of situations where larger than expected volumes will remain unrecovered. Guidance is also given for the key measurements of layer permeabilities and their expected influence on recovery performance. It is concluded that moderate vertical layering of soil properties is sufficient to render homogeneous recovery models inappropriate.

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“…In the past 50 years, numerous investigations to find the best solution to predict soil hydraulic parameters have been performed (e.g., Wipfer et al 2004;Van Geel and Roy 2002). In the absence of measured data, the accuracy of these estimations could not be verified and it became necessary to conduct simulation experiments under various hydrogeological conditions to validate the accuracy of the simulation model.…”

Section: Introductionmentioning

confidence: 99%

Nonaqueous-Phase Liquid Retention of Mineral Mixture Series Containing Different Clay Minerals

Hernádi

Makó

Kovács

et al. 2013

Communications in Soil Science and Plant Analysis

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The pollution of soils with nonaqueous-phase liquids (NAPL) may endanger the quality of soils, their utilization, and the groundwater reservoir. To develop NAPL transport models, the most important soil parameters are the hydrophysical properties of the solid phase such as the retention capacity. Because the measurement of these soil properties is time-consuming and costly, in most cases they are estimated. However, the commonly used estimation methods are mostly validated with laboratory measurements using soil columns made from sand, quartz, or glass-bead samples, with negligible contents of clay and organic matter. These estimation methods consider the soil as ideal porous media and thus may not provide appropriate results for soils with variably physical and chemical properties. In the 1990s a research program commenced at this university to create an appropriate estimation method for predicting the NAPL retention capacity of soils. Two estimation methods, the Leverett equation and the prediction with pedotransfer functions (PTF), were compared. We assumed that the oil retention of soil is sufficiently predictable from basic soil properties, but we later discovered that these models needed to be refined further because NAPL retention in soils may be influenced by different properties at a higher pressure level than at lower pressure. Moreover, the quantity and the quality of clay minerals in soils may also influence the retention capacity of soils. The aim of this study was to determine the effect of different investigated soil parameters on NAPL retention measured at different pressure values. A series of mineral mixtures containing different clay minerals were used, the PTFs were established, and the role of the main soil properties in NAPL retention was investigated with statistical analysis.

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Infiltration and redistribution of LNAPL into unsaturated layered porous media

Cited by 38 publications

References 19 publications

Estimation of Effects on Napl Residual Saturation for Airwater-Napl Phase Flow in Porous Media

Estimation of Effects on Napl Residual Saturation for Airwater-Napl Phase Flow in Porous Media

Characteristics of light nonaqueous phase liquid recovery in the presence of fine‐scale soil layering

Nonaqueous-Phase Liquid Retention of Mineral Mixture Series Containing Different Clay Minerals

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