Measured and Predicted Solute Leaching from Multiple Undisturbed Soil Columns

Logsdon, S. D.; Keller, Kyle E.; Moorman, T. B.

doi:10.2136/sssaj2002.0686

Cited by 6 publications

(5 citation statements)

References 0 publications

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“…It would be desirable to base a model ranking on an evaluation of reported model applications. However,, this is difficult for three reasons: (i) most studies, with few exceptions (e.g., Logsdon et al, 2002;Aden and Diekkrüger, 2000;van Dam, 2000), only report overall success of a model after calibration, (ii) calibration methods and criteria for the reported success differ between the studies, and (iii) there are too few studies on model comparison based on the same data set and furthermore, of those studies appear to be of limited significance due to the uncertainty introduced by different model users. Thus in the following we discuss models' strengths and weaknesses on the basis of underlying model conceptualizations.…”

Section: Comparing Strengths and Weaknesses Of Two-region Modelsmentioning

confidence: 99%

A review of model applications for structured soils: a) Water flow and tracer transport

Köhne

Šimůnek

2009

Journal of Contaminant Hydrology

291

224

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Section: Comparing Strengths and Weaknesses Of Two-region Modelsmentioning

confidence: 99%

A review of model applications for structured soils: a) Water flow and tracer transport

Köhne

Šimůnek

2009

Journal of Contaminant Hydrology

291

224

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“…There are a number of models of varying complexity used to simulate solute flow in the vadose zone, including MACRO (Logsdon et al, 2002; Jarvis et al, 1991), USDA's Root Zone Water Quality Model (RZWQM; Ahuja, 1991), and LEACHEM (Hutson and Wagenet, 1995). The approach taken by the well‐known CDE model assumes that water and solutes statistically sample all pore spaces, resulting in an equation where the water and solutes move at an average velocity with dispersion around the front.…”

Section: Methodsmentioning

confidence: 99%

“…Several models include some matrix–flowpath interaction (Wallach and Steenhuis, 1998; Stagnitti et al, 2001; Zhang et al, 1998). Ahuja (1991) assumed that some solutes end up in dead‐end pores while in the MACRO models (Logsdon et al, 2002; Jarvis et al, 1991), water and solute exchange in the two domains is coupled by empirical interaction terms. Even with this degree of complexity, models may not adequately predict observed leaching (Logsdon et al, 2002).…”

Section: Methodsmentioning

confidence: 99%

Chloride and Lithium Transport in Large Arrays of Undisturbed Silt Loam and Sandy Loam Soil Columns

Akhtar

Steenhuis

Richards

et al. 2003

Vadose Zone Journal

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The transport of Cl− and Li+ was investigated in 90 undisturbed soil columns (28‐cm diam., 35 cm deep) representing two soil series: structured silt loam (Hudson; fine, illitic, mesic Glossaquic Hapludalfs) and unstructured sandy loam (Arkport; coarse‐loamy, mixed, active, mesic Lamellic Hapludalfs). The columns had previously been operated with two cropping cycles, including two applications of a variety of sewage sludges (biosolids) at agronomic rates. With soil columns at field capacity and with no crops present, a pulse of 3.55 mM LiCl was added in the equivalent of 5.8 cm of water over the surface of the columns, followed by several irrigations (11.6 cm total depth) of deionized water and multiple subsequent irrigations with synthetic acid rain. Tracer concentrations in the outflow water increased almost immediately after application, with the Li+ concentrations an order of magnitude less than Cl− Although there was a great deal of variation in initial Cl− concentrations among the individual columns, the overall pattern was consistent for each soil after the initial 10 cm of flow (when variable preferential flow effects dominated) and was independent of the sludge applications. Outflow Li+ concentrations were extremely variable among columns. Lithium adsorption partition coefficients (kd) from batch equilibrations were lower than those derived from outflow concentrations. Solute losses were described with a simple preferential flow model. Apparent water contents fit a normal distribution for Cl− while Li+ apparent kd values were lognormally distributed. Outliers (i.e., columns with transport parameters very different from the mean) had transport velocities that were slower than would be predicted by the respective distributions. Probabilistic approaches can be used to select the number of experimental columns required to meet a desired level of probability that soils columns with a meaningful range of transport velocities will be represented in the experimental set.

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“…The US EPA completed the construction of a mobile soil fl ushing system during the early 1990s for use at spills and uncontrolled hazardous waste sites (FRTR 1999 ). In in -situ soil fl ushing, an aqueous solution or water is fl ooded into or sprayed over the contaminated surface, the pollutant bearing fl uid is then collected by strategically placed wells or trenches and brought to the surface for removal or on-site treatment, recirculation and reinjection (Logsdon et al 2002 ;Di Palma et al 2003 ). Extracted fl uids are always subjected to required treatments to meet the appropriate discharge standards before being released in the locality (Otterpohl 2002 ;Son et al 2003 ).…”

Section: Soil Flushingmentioning

confidence: 99%

“…Chelating, reducing and complexing agents are useful to recover metals. Surfactants assist in the removal of hydrophobic organics (Logsdon et al 2002 ;Alter et al 2003 ). Generally, surfactants and co-solvent fl ooding technology are widely practiced for removing fuels and chlorinated solvents.…”

Section: Soil Flushingmentioning

confidence: 99%

In-Situ Remediation Approaches for the Management of Contaminated Sites: A Comprehensive Overview

Kuppusamy

Thavamani

Megharaj

et al. 2016

Reviews of Environmental Contamination and Toxicology

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Though several in-situ treatment methods exist to remediate polluted sites, selecting an appropriate site-specific remediation technology is challenging and is critical for successful clean up of polluted sites. Hence, a comprehensive overview of all the available remediation technologies to date is necessary to choose the right technology for an anticipated pollutant. This review has critically evaluated the (i) technological profile of existing in-situ remediation approaches for priority and emerging pollutants, (ii) recent innovative technologies for on-site pollutant remediation, and (iii) current challenges as well as future prospects for developing innovative approaches to enhance the efficacy of remediation at contaminated sites.

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Measured and Predicted Solute Leaching from Multiple Undisturbed Soil Columns

Cited by 6 publications

References 0 publications

A review of model applications for structured soils: a) Water flow and tracer transport

A review of model applications for structured soils: a) Water flow and tracer transport

Chloride and Lithium Transport in Large Arrays of Undisturbed Silt Loam and Sandy Loam Soil Columns

In-Situ Remediation Approaches for the Management of Contaminated Sites: A Comprehensive Overview

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