Science Inventory

Analytical solutions for a soil vapor extraction model that incorporates gas phase dispersion and molecular diffusion

Citation:

Huang, J. AND M. Goltz. Analytical solutions for a soil vapor extraction model that incorporates gas phase dispersion and molecular diffusion. JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, 549:452-460, (2017). https://doi.org/10.1016/j.jhydrol.2017.04.013

Impact/Purpose:

Paper will be submitted to Water Resources Research for publication. Paper was re-submitted to Journal of Hydrology.

Description:

To greatly simplify their solution, the equations describing radial advective/dispersive transport to an extraction well in a porous medium typically neglect molecular diffusion. While this simplification is appropriate to simulate transport in the saturated zone, it can result in significant errors when modeling gas phase transport in the vadose zone, as might be applied when simulating a soil vapor extraction (SVE) system to remediate vadose zone contamination. A new analytical solution for the equations describing radial gas phase transport of a sorbing contaminant to an extraction well is presented. The equations model advection, dispersion (including both mechanical dispersion and molecular diffusion), and rate-limited mass transfer of dissolved, separate phase, and sorbed contaminants into the gas phase. The model equations are analytically solved by using the Laplace transform with respect to time. The solutions are represented by confluent hypergeometric functions in the Laplace domain. The Laplace domain solutions are then evaluated using a numerical Laplace inversion algorithm. The solutions can be used to simulate the spatial distribution and the temporal evolution of contaminant concentrations during operation of a soil vapor extraction well. Results of model simulations show that the effect of gas phase molecular diffusion upon concentrations at the extraction well is relatively small, although the effect of concentrations in space is significant. This study provides a tool that can be useful in designing SVE remediation strategies, as well as verifying numerical models used to simulate SVE system performance.