Channeling, channel density and mass recovery in aquifer transport, with application to the MADE experiment

Water Resources Research

Volumn 50, Issue 12, 2014, Pages 9148-9161

  Fiori, A ^a  

^a ROMA TRE UNIVERSITY   (Italy)

Author keywords

aquifer transport; channeling; heterogeneous media; preferential flow

Indexed keywords

AQUIFERS; GROUNDWATER FLOW;

CHANNELING; CHANNELING EFFECT; HETEROGENEOUS FORMATION; HETEROGENEOUS MEDIA; LONGITUDINAL MASS; MASS DISTRIBUTION; MONITORING WELLS; PREFERENTIAL FLOWS;

RECOVERY;

AQUIFER; CHANNEL FLOW; EXPERIMENTAL STUDY; GEOMETRY; HETEROGENEITY; PREFERENTIAL FLOW; VOLUME;

EID: 85027920822     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2014WR015950     Document Type: Article

References (35)

1. Adams, E. E., and, L. W. Gelhar, (1992), Field study of dispersion in a heterogeneous aquifer: 2. Spatial moments analysis, Water Resour. Res., 28 (12), 3293-3307, doi: 10.1029/92WR01757.
2. Berkowitz, B., and, H. Scher, (1998), Theory of anomalous chemical transport in random fracture networks, Phys. Rev. E, 57 (5), 5858-5869.
3. Bianchi, M., C. Zheng, C. Wilson, G. R. Tick, G. Liu, and, S. M. Gorelick, (2011), Spatial connectivity in a highly heterogeneous aquifer: From cores to preferential flow paths, Water Resour. Res., 47, W05524, doi: 10.1029/2009WR008966.
4. Boggs, J. M., S. C. Young, L. M. Beard, L. W. Gelhar, K. R. Rehfeldt, and, E. E. Adams, (1992), Field study of dispersion in a heterogeneous aquifer: 1. Overview and site description, Water Resour. Res., 28 (12), 3281-3291, doi: 10.1029/92WR01756.
5. Bohling, G. C., G. Liu, S. J. Knobbe, E. C. Reboulet, D. W. Hyndman, P. Dietrich, and, J. J. Butler Jr,. (2012), Geostatistical analysis of centimeter-scale hydraulic conductivity variations at the MADE site, Water Resour. Res., 48, W02525, doi: 10.1029/2011WR010791.
6. Bracken, L. J., J. Wainwright, G. A. Ali, D. Tetzlaff, M. W. Smith, S. M. Reaney, and, A. G. Roy, (2013), Concepts of hydrological connectivity: Research approaches, pathways and future agendas, Earth Sci. Rev., 119, 17-34, doi: 10.1016/j.earscirev.2013.02.001.
7. Culkin, S. L., K. Singha, and, F. D. Day-Lewis, (2008), Implications of rate-limited mass transfer for aquifer storage and recovery, Ground Water, 46 (4), 591-605.
8. Cvetkovic, V., A. Fiori, and, G. Dagan, (2014), Solute transport in aquifers of arbitrary variability: A time-domain random walk formulation, Water Resour. Res., 50, 5759-5773, doi: 10.1002/2014WR015449.
9. Dagan, G., (1989), Flow and Transport in Porous Formations, Springer, N. Y.
10. Dagan, G., V. Cvetkovic, and, A. Shapiro, (1992), A solute flux approach to transport in heterogeneous formations: 1. The general framework, Water Resour. Res., 28 (5), 1369-1376, doi: 10.1029/91WR03086.
11. Dagan, G., A. Fiori, and, I. Jankovic, (2003), Flow and transport in highly heterogeneous formations: 1. Conceptual framework and validity of first-order approximations, Water Resour. Res., 39 (9), 1268, doi: 10.1029/2002WR001717.
12. de Dreuzy, J.-R., A. Beaudoin, and, J. Erhel, (2007), Asymptotic dispersion in 2D heterogeneous porous media determined by parallel numerical simulations, Water Resour. Res., 43, W10439, doi: 10.1029/2006WR005394.
13. Feehley, C. E., C. Zheng, and, F. J. Molz, (2000), A dual-domain mass transfer approach for modeling solute transport in heterogeneous aquifers: Application to the Macrodispersion Experiment (MADE) site, Water Resour. Res., 36 (9), 2501-2515, doi: 10.1029/2000WR900148.
14. Fiori, A., and, I. Jankovic, (2012), On preferential flow, channeling and connectivity in heterogeneous porous formations, Math. Geosci., 44, 133-145, doi: 10.1007/s11004-011-9365-2.
15. Fiori, A., I. Jankovic, and, G. Dagan, (2006), Modeling flow and transport in highly heterogeneous three-dimensional aquifers: Ergodicity, Gaussianity, and anomalous behavior-2. Approximate semianalytical solution, Water Resour. Res., 42, W06D13, doi: 10.1029/2005WR004752.
16. Fiori, A., I. Jankovic, G. Dagan, and, V. Cvetkovic, (2007), Ergodic transport through aquifers of non-Gaussian log conductivity distribution and occurrence of anomalous behavior, Water Resour. Res., 43, W09407, doi: 10.1029/2007WR005976.
17. Fiori, A., G. Dagan, and, I. Jankovic, (2008), Comment on "Asymptotic dispersion in 2D heterogeneous porous media determined by parallel numerical simulations" by J. R. de Dreuzy et al., Water Resour. Res., 44, W06603, doi: 10.1029/2007WR006699.
18. Fiori, A., I. Jankovic, G. Dagan, (2011), The impact of local diffusion upon mass arrival of a passive solute in transport through three-dimensional highly heterogeneous aquifers, Adv. Water Resour., 34, 1563-1573, doi: 10.1016/j.advwatres.2011.08.010.
19. Fiori, A., G. Dagan, I. Jankovic, and, A. Zarlenga, (2013), The plume spreading in the MADE transport experiment: Could it be predicted by stochastic models?, Water Resour. Res., 49, 2497-2507, doi: 10.1002/wrcr.20128.
20. Frippiat, C. C., and, A. E. Holeyman, (2008), A comparative review of upscaling methods for solute transport in heterogeneous porous media, J. Hydrol., 362 (1-2), 150-176, doi: 10.1016/j.jhydrol.2008.08.015.
21. Gelhar, L. W., (1993), Stochastic Subsurface Hydrology, 390 pp., Prentice Hall, Upper Saddle River, N. Y.
22. Guan, J., F. J. Molz, Q. Zhou, H. H. Liu, and, C. Zheng, (2008), Behavior of the mass transfer coefficient during the MADE-2 experiment: New insights, Water Resour. Res., 44, W02423, doi: 10.1029/2007WR006120.
23. Harvey, C., and, S. M. Gorelick, (2000), Rate-limited mass transfer or macrodispersion: Which dominates plume evolution at the macrodispersion experiment (MADE) site?, Water Resour. Res., 36 (3), 637-650, doi: 10.1029/1999WR900247.
24. Jankovic, I., and, A. Fiori, (2010), Analysis of the impact of injection mode in transport through strongly heterogeneous aquifers, Adv. Water Resour., 33, 1199-1205, doi: 10.1016/j.advwatres.
25. Jankovic, I., A. Fiori, and, G. Dagan, (2006), Modeling flow and transport in highly heterogeneous three-dimensional aquifers: Ergodicity, Gaussianity, and anomalous behavior-1. Conceptual issues and numerical simulations, Water Resour. Res., 42, W06D12, doi: 10.1029/2005WR004734.
26. Knudby, C., and, J. Carrera, (2005), On the relationship between indicators of geostatistical, flow and transport connectivity, Adv. Water Resour., 28 (4), 405-421, doi: 10.1016/j.advwatres.2004.09.001.
27. Liu, G., J. J. Butler Jr,., G. C. Bohling, E. Reboulet, S. Knobbe, and, D.W. Hyndman, (2009), A new method for high-resolution characterization of hydraulic conductivity, Water Resour. Res., 45, W08202, doi: 10.1029/2009WR008319.
28. Rehfeldt, K. R., J. M. Boggs, and, L. W. Gelhar, (1992), Field study of dispersion in a heterogeneous aquifer: 3. Geostatistical analysis of hydraulic conductivity, Water Resour. Res., 28 (12), 3309-3324, doi: 10.1029/92WR01758.
29. Renard, P., and, D. Allard, (2013), Connectivity metrics for subsurface flow and transport, Adv. Water Resour., 51, 168-196, doi: 10.1016/j.advwatres.2011.12.001.
30. Rubin, Y., (2003), Applied Stochastic Hydrology, 391 pp., Oxford Univ. Press, N. Y.
31. Salamon, P., D. Fernandez-Garcia, and, J. J. Gomez-Hernandez, (2007), Modeling tracer transport at the MADE site: The importance of heterogeneity, Water Resour. Res., 43, W08404, doi: 10.1029/2006WR005522.
32. Zarlenga, A., I. Jankovic, and, A. Fiori, (2012), Advective transport in heterogeneous formations: The impact of spatial anisotropy on the breakthrough curve, Transp. Porous Media, 96 (2), 295-304, doi: 10.1007/s11242-012-0088-8.
33. Zhang, Y., D. A. Benson, M. M. Meerschaert, and, E. M. LaBolle, (2007), Space-fractional advection-dispersion equations with variable parameters: Diverse formulas, numerical solutions, and application to the Macrodispersion Experiment site data, Water Resour. Res., 43, W05439, doi: 10.1029/2006WR004912.
34. Zhang, Y., C. T. Green, and, G. E. Fogg, (2013), The impact of medium architecture of alluvial settings on non-Fickian transport, Adv. Water Resour., 54, 78-99, doi: 10.1016/j.advwatres.2013.01.004.
35. Zheng, C., M. Bianchi, and, S. M. Gorelick, (2011) Lessons learned from 25 years of research at the MADE site, Ground Water, 49, 649-662, doi: 10.1111/j.1745-6584.2010.00753.x.