2005
DOI: 10.1007/s11242-004-2554-4
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One- and Three-Dimensional Soil Transportation Models for Volatiles Migrating from Soils to House Interiors

Abstract: Two models are presented for the transient migration of a volatile organic compound (VOC) from soil to the interor of a house with a crawl space. The migration in the house is taken as one-dimensional (1D) and coupled to a soil transportation model with diffusion, leaching and VOC degradation. The diffusion is either vertical, providing a 1D model, or three-dimensional (3D) axisymmetric, providing a 3D model. The initial subsurface VOC deposition is assumed to be a finite layer extending over the footprint of … Show more

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Cited by 9 publications
(7 citation statements)
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References 15 publications
(22 reference statements)
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“…An EPA document21 and other recent publications22,23 summarize some of the earlier models. It is generally acknowledged that 1-D models cannot capture the full range of effects that play a role in actual vapor intrusion scenarios, but they are useful because they can be more simply solved than full 3-D models.…”
Section: Introductionmentioning
confidence: 99%
“…An EPA document21 and other recent publications22,23 summarize some of the earlier models. It is generally acknowledged that 1-D models cannot capture the full range of effects that play a role in actual vapor intrusion scenarios, but they are useful because they can be more simply solved than full 3-D models.…”
Section: Introductionmentioning
confidence: 99%
“…Screening-level algorithms need to predict close to reality (need to have high accuracy) so credible concentrations are calculated to underpin site assessment and remediation decisions (Robinson & Turczynowicz, 2005). On the other hand the derivation of SSV requires a sufficient level of conservatism to account for variation in sites, soil, buildings, residents, etc.…”
Section: Application Of Screening-level Algorithms In Deriving Ssvmentioning
confidence: 99%
“…The review by Tillman and Weaver (2005) focussed on the lack of uncertainty analysis in the use of the JEM, the need for more field data and additional investigations into subsurface parameters such as moisture content that have major influences on predictions. The other review, in an automated uncertainty analysis that accounted for synergism across model input parameters identified the nonlinearity of the JEM equation and subsequent response to parameter variation (with a skew Waitz et al (1996) Australian CSIRO model Extension of BAM Markey and Anderssen (1996); Anderssen and Markey (1998); Robinson (1999aRobinson ( , 1999bRobinson ( , 2000Robinson ( , 2003; Robinson and Turczynowicz (2005) toward increased risk) and the limitations of a "one-at-a-time" uncertainty analysis (increased model uncertainty compared to grouped variable analysis). Of particular interest was the finding that the air exchange rate was ranked as "the single most sensitive input parameter of the model" (Weaver & Tillman, 2005, p. 31).…”
Section: Recent Published Reviewsmentioning
confidence: 99%
“…A recent paper (Robinson & Turczynowicz, 2005) examined the issue of conservatism due to lateral migration losses of VOC beneath a dwelling associated with one-dimensional modeling. This was undertaken by comparison with a threedimensional axisymmetric transportation model of transient migration of a VOC from soil to a crawl space house interior.…”
Section: Recent Model Developments and Applicationmentioning
confidence: 99%