Predicting the Gas Diffusion Coefficient in Repacked Soil Water‐Induced Linear Reduction Model

By P. Møldrup, T. Olesen, J. Gamst, P. Schjønning, T. Yamaguchi, D. Rolston. 2000

379 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/f11e617f6d9155d64234329cc1bce01a28d3f66d

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In Civil and Structural Engineering

1. Dani Or
2. N. Shokri
3. Peter Lehmann
4. Andre Peters
5. N. Lu
6. J. Nimmo

In Environmental Engineering

1. Dani Or
2. N. Shokri
3. Peter Lehmann
4. Pete Smith
5. S. Blagodatsky
6. Andre Peters
7. N. Lu
8. J. Nimmo

In Industrial and Manufacturing Engineering

1. Dani Or
2. N. Shokri

Citations in the corpus

• What determines drying rates at the onset of diffusion controlled stage‐2 evaporation from porous media? (2011, methodology): “with the evaporation rate at the onset of stage two e2, the vapor diffusion coefcient in porous media D, the vapor diffusion coefcient in free air Datm, the vapor diffusion length � which equals to the length of the jump at the onset of stage 2, the porosity ’, the saturated water vapor density Cs”
• Recent Developments and Applications of the HYDRUS Computer Software Packages (2016, neutral): “They include options to (i) evaluate tortuosity using the models of Moldrup et al. (1997, 2000) as an alternative to the Millington and Quirk (1961) model (Version 4.06), (ii) calculate soil surface temperatures and actual evaporation fluxes for bare soils using the surface energy balance (Saito et…”
• Critical evaluation of enhancement factors for vapor transport through unsaturated porous media (2009, methodology): “Drying Rate [28] The expected diffusive flux was calculated according to Fick’s law with the following assumptions: (1) water evaporates at the secondary drying front (bottom of dry surface layer); (2) vapor diffusion coefficient through partially saturated sand is computed by the expression propose”
• Soil physics meets soil biology: Towards better mechanistic prediction of greenhouse gas emissions from soil (2012, methodology): “Further development of this model was completed by Moldrup et al., (2005b), so that the tortuosity-connectivity parameter X100 (linked to the 100 cm H2O soil water matrix potential) standing for X in Eq.”