Time domain particle tracking methods for simulating transport with retention and first-order transformation
2008 (English)In: Water resources research, ISSN 0043-1397, E-ISSN 1944-7973, Vol. 44, no 1Article in journal (Refereed) Published
Particle tracking in the time domain has received increasing attention as a technique for robustly simulating transport along one-dimensional subsurface pathways. Using a stochastic Lagrangian perspective, integral representations of transport including the effects of advection, longitudinal dispersion, and a broad class of retention models are derived; Monte Carlo sampling of that integral leads directly to new time domain particle tracking algorithms that represent a wide range of physical phenomena. Retention-time distributions are compiled for key retention models. An extension to accommodate linear transformations such as decay chains is also introduced. Detailed testing using first-order decay chains and four retention models (equilibrium sorption, limited diffusion, unlimited diffusion, and first-order kinetic sorption) demonstrate that the method is highly accurate. Simulations using flow fields produced by large-scale discrete-fracture network simulations, a transport problem that is difficult for conventional algorithms, demonstrate that the new algorithms are robust and highly efficient.
Place, publisher, year, edition, pages
2008. Vol. 44, no 1
random-walk method, solute transport, dispersion, flow, diffusion, fractures, aquifers, network, media
IdentifiersURN: urn:nbn:se:kth:diva-17264DOI: 10.1029/2007wr005944ISI: 000252184500005ScopusID: 2-s2.0-39749154080OAI: oai:DiVA.org:kth-17264DiVA: diva2:335307
QC 201005252010-08-052010-08-05Bibliographically approved