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dc.contributor.authorCho, Michelle Seeun 16:30:39 (GMT) 04:50:07 (GMT)
dc.description.abstractIn situ remediation techniques commonly involve the injection of a reagent into the subsurface to create a zone in which biological and/or chemical reactions lead to mass destruction of contaminants. In these injection-driven remedial systems, the delivery of reagent solutions is a key requirement for success; however, the design of an effective delivery system remains a significant challenge. Subsurface heterogeneities create preferential flow pathways over a range of spatial scales that produce an uneven distribution of the injected fluid. For conventional injection methods that use vertical wells, the injected reagent will follow the path of least resistance from the wellbore into the porous medium, and the distribution will be greater in areas of higher hydraulic conductivity (K) with potential to bypass adjacent regions of lower K. In these lower K zones, molecular diffusion is possibly the primary transport mechanism responsible to bring the injected reagent into contact with the contaminant; however, diffusion is a slow process and contributes to inefficient mixing. Chaotic advection refers to the generation of small-scale structures from the repeated stretching and folding of fluid elements in a laminar flow regime. The small-scale structures produced by this chaotic stirring create fluid elements that are stretched out into long, thin filaments with a length scale sufficiently small for diffusion to promote efficient mixing. It has been theorized that chaotic advection has the potential to overcome preferential flow paths and enhance mixing. One configuration which has been theoretically and experimentally used to invoke chaotic advection in porous media is termed a rotated potential mixing (RPM) flow. An RPM flow system involves periodically re-oriented dipole flow through the transient switching of pressures at a series of radial wells. If chaotic advection can be invoked and controlled in situ, reagent delivery and treatment effectiveness may be significantly improved. Thus, the primary objective of this research effort was to improve our understanding of chaotic advection and its implications on reagent delivery. To investigate if chaotic advection can be engineered in a natural aquifer system using RPM flow, and to assess the consequent impact on the spatial distribution of a conservative tracer, a series of field-scale experiments were completed. Investigations were performed in an experimental gate at the University of Waterloo Groundwater Research Facility at the Canadian Forces Base in Borden, ON, Canada. Each experiment involved the injection of a pre-determined tracer volume in the center of a circular array of injection/extraction wells, followed by either mixing using an RPM flow protocol to invoke chaotic advection, or by natural processes (advection and diffusion) as the control. Hydraulic data and tracer breakthrough responses were used to investigate the presence of chaotic advection. Various quantitative metrics (e.g., integrated volume under the three-dimensional contours of tracer concentration data, variance of tracer concentrations, spatial concentration gradients, and the first two spatial moments of the tracer concentration distribution) were adopted to assess field-scale evidence of mixing. The results from these various quantitative metrics indicated the presence of chaotic advection which led to improved lateral spreading and enhanced mixing to establish uniform concentrations across the monitoring network. The findings demonstrated that an RPM flow system is a viable and efficient approach to enhance reagent mixing. Prior to the implementation of a chaotic advection system, determination of the RPM flow protocol will likely require a numerical model for adequate representation of groundwater flow undergoing periodically re-oriented dipole pumping. It is expected that the K field will control the behavior of the system. To capture K heterogeneities in a target treatment zone, hydraulic head responses from multiple independent dipole pumping tests were used in a three-dimensional steady-state hydraulic tomography (SSHT) analysis. For validation of the estimated K field from SSHT analysis, forward simulations of steady-state and transient groundwater flow were performed. The impact of using this K field on the spatial distribution of a hypothetical reagent in the target treatment zone was then investigated using particle tracking methods. The findings demonstrated that the same well system used to invoke chaotic advection is a viable site characterization tool to delineate the variability of the K field using SSHT analysis. Furthermore, the use of this K field in a particle tracking engine led to more spatially and densely distributed particle trajectories indicative of enhanced reagent mixing than those produced by an effective parameter approach (i.e., a single value of K assigned across the entire spatial domain). These results suggested that using K information applicable to a specific area of interest leads to a more effective design of an RPM flow system that can enhance reagent mixing. Simulations were performed in two dimensions to investigate whether a conventional modeling method can be used capture the transport behavior of a conservative reagent in the presence of chaotic advection, and to explore the impact of specific engineering controls associated with an RPM flow system on reagent mixing. The multiple lines of evidence assembled in this study demonstrated that this modeling approach captured the key features of the expected transport behavior reported in other studies of chaotic advection over a range of scales (e.g., theory, laboratory and field). Visual observations from the reagent distribution produced, and the results from the quantitative metrics of mixing behavior highlighted the different responses that are possible by the various combinations of RPM flow parameters explored. The findings demonstrated the importance of combining theoretical considerations with practical limitations when designing an RPM flow system. The flow rate and pumping duration were identified as key parameters of an RPM flow system that have direct consequences on the degree of reagent spreading and mixing. In addition, the use of the same RPM flow protocol in a heterogeneous K field led to significantly greater degree of reagent mixing than in a homogeneous K setting. These findings represent a significant step towards the development of a modeling approach for the design of an effective RPM flow system that can support field implementation of chaotic advection and promote enhanced reagent mixing. The tracer experiments described in this proof-of-concept study are significant since these investigations are the first field-scale efforts to extend on the established theoretical underpinnings and observations from bench-scale experiments of chaotic advection. Multiple lines of evidence assembled in this research effort demonstrate that chaotic advection can be engineered at the field scale using an RPM flow system. These findings also provide comprehensive information about chaotic advection as an approach to enhance reagent mixing in a natural aquifer system. The suite of quantitative metrics and numerical efforts presented in this study provide various tools for the design of an RPM flow system, and the subsequent data interpretation to support field applications of chaotic advection. Collectively, the combination of experimental and computational efforts presented in this study provide comprehensive insights into an effective design and implementation of an RPM flow system to generate chaotic advection for enhanced reagent mixing.en
dc.publisherUniversity of Waterlooen
dc.subjectchaotic advectionen
dc.subjectin situ remediationen
dc.subjectRPM flowen
dc.subjectsubsurface heterogeneityen
dc.titleChaotic Advection for Enhanced Reagent Mixingen
dc.typeDoctoral Thesisen
dc.pendingfalse and Environmental Engineeringen Engineeringen of Waterlooen
uws-etd.degreeDoctor of Philosophyen
uws-etd.embargo.terms1 yearen
uws.contributor.advisorThomson, Neil
uws.contributor.affiliation1Faculty of Engineeringen

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