Abstract
Abstract
The retention of contaminants within low-conductivity regions such as clay lenses and aquitards can greatly affect groundwater remediation processes. The aim of this study was to experimentally investigate the effects of the geometry of low-conductivity zones, conductivity contrast, and flow regime on solute flushing. We conducted a series of flushing tests in cylindrical models containing a cylindrical low-conductivity zone (i.e., low-K zone) embedded in a highly conductive medium (i.e., high-K zone). Seven models comprising four high-conductivity-contrast (SL, SS, LL, and LS), one medium-contrast (LLM), one low-contrast (LLL), and one homogeneous (H) models were considered. Experiments were conducted at two flow rates (Q = 0.6 and 26 cm3/min) for each heterogeneous model (SL, SS, LL, LS, LLM, and LLL) to compare the flushing processes in different flow regimes. First, we verified the validity of our experiments by comparing the results of the H model from an analytical solution with our experiment. The results of the high-contrast models showed that for a diffusion-dominated regime (Q = 0.6 cm3/min), the pore volume injected (PVI) required to flush out solute mass was much smaller than that in an advection-dominated regime (Q = 26 cm3/min). To evaluate the pore volumes required to flush out solutes for the four high-contrast models, we introduced a parameter P0.01, which is defined as the PVI needed for the relative concentration to become 0.01 at the middle of the low-K zone. P0.01 decreases with increasing the specific surface area of the low-K zone for diffusion-dominated regimes, while it increases with increasing the length of the low-K zone for advection-dominated regimes. We also determined the importance of the effect of K contrast on solute retention by comparing the results of three different models of K contrast (LL, LLM, and LLL).
Funder
Japan Society for the Promotion of Science
Kobe University
Publisher
Springer Science and Business Media LLC
Subject
Pollution,Water Science and Technology,Ecological Modeling,Environmental Chemistry,Environmental Engineering
Reference31 articles.
1. Abdoulhalik, A., & Ahmed, A. A. (2017). How does layered heterogeneity affect the ability of subsurface dams to clean up coastal aquifers contaminated with seawater intrusion? Journal of Hydrology, 553, 708–721. https://doi.org/10.1016/j.jhydrol.2017.08.044
2. Appelo, C. A. J., & Postma, D. (2010). Geochemistry, Groundwater and Pollution (2nd ed.). CRC Press.
3. Barth, G. R. M., Hill, M. C., Illangasekare, T. H., & Rajaram, H. (2001). Predictive modeling of flow and transport in a two-dimensional intermediate-scale, heterogeneous porous medium. Water Resources Research, 37(10), 2503–2512. https://doi.org/10.1029/2001WR000242
4. Bear, J. (1972). Dynamics of fluids in porous media. Elsevier.
5. Blue, J., Boving, T., Tuccillo, M. E., Koplos, J., Rose, J., Brooks, M., & Burden, D. (2023). Contaminant back diffusion from low-conductivity matrices: Case studies of remedial strategies. Water, 15(3), 570. https://doi.org/10.3390/w15030570
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献