Fractured aquifers are some of the most poorly characterized subsurface environments despite posing one of the highest risks to the protection of potable groundwater. This research was designed to improve the understanding of the factors affecting particle transport through fractures by developing a phenomenological model based on laboratory-scale transport data. The model presented in this research employed data from over 70 particle tracer tests conducted in single, saturated, variable-aperture fractures that were obtained from the natural environment and fractured in the laboratory or cast from epoxy in the laboratory. The particles employed were Escherichia coli RS2-GFP and microspheres. The tracer experiments were conducted in natural (dolomitic limestone and granite) as well as epoxy replicas of the natural fractures. The multiple linear regression analysis revealed that the most important factors influencing particle retention in fractures are the ratio of the ionic strength of solution to collector charge, the ratio of particle to collector charge, and the ratio of advective to diffusive forces as described by the Peclet number. The model was able to reasonably (R(2) = 0.64) predict the fraction of particles retained; however, it is evident that some factors not accounted for in the model also contributed to retention. This research presents a novel approach to understanding particle transport in fractures, and illustrates the relative importance of various factors affecting the transport mechanisms. The utility of this model lies in the increased understanding of particle transport in fractures, which is extremely useful for directing future research.
Fractured aquifers are a relatively under-studied area of groundwater science particularly because of the heterogeneities present in fractures which make it difficult to understand and predict the transport and retention of contaminants. This research was designed to elucidate some of the factors that contribute to particle transport and retention in fractures using solute and particle tracers in a natural rock fracture and a transparent epoxy replica of that same fracture. Significantly less attachment was observed from the tracer experiments conducted in the replica fracture illustrating the large effect that matrix properties have on transport and retention of particles in fractures. The E. coli RS2-GFP tracer experiments conducted in the replica fracture show that increasing specific discharge results in increasing recovery; however, there is a critical specific discharge at which particle recovery seems to steady or slightly decrease. Images were collected of the E. coli RS2-GFP transport through the epoxy replica fracture, which capture for the first time the preferential pathways of E. coli in fractures, and also demonstrate a slight broadening of the dominant preferential pathway under increasing flow conditions. These results are instructive to the development and improvement of predictive models for particle transport in fractured aquifers.
Records of discharge for the connecting channels within the Great Lakes Basin are important to national governments of Canada and the United States and the various water management agencies and users in the basin. For more than 100 years, the official discharge records for the St. Clair and Detroit Rivers, two connecting channels within the Great Lakes Basin, have been computed using various stagefall-discharge (SFQ) methods. However, as a result of technological advancements, newer methods have recently been considered for discharge computations. In this study, three discharge computation methods were compared: two SFQ methods and the index-velocity discharge (IVQ) method. Although the two SFQ methods have significantly different assumptions and use different data from the index-velocity method, the differences between the computed discharges derived from the methods are small, especially as the time step approaches monthly discharge values. Statistical analyses of discharge measurements and discharges computed using each of these methods indicate that there is no substantive difference in the discharges computed using the three methods. However, the IVQ method provides distinct advantages over the SFQ methods, including increased temporal resolution of computed discharge (minutes versus daily) and the ability to account for changes caused by aquatic vegetation and ice. Based on the results of the comparisons described herein, the IVQ discharge computation method is the most appropriate method for discharge computation in the St. Clair and Detroit Rivers. Updated SFQ equations for the St. Clair and Detroit Rivers, also presented herein, can be used to compute discharge during periods of missing or invalid IVQ record.
For sustainable groundwater management the rate of groundwater recharge and specific yield are both of the most important elements in the analysis and management of groundwater resources, and, sometimes, estimation of these parameters remains a challenge. This research presents a combining approach of the water-table fluctuation method (WTF) with an aquifer test to estimate both and quantify their uncertainty. The methodology requires at least three wells: two instrumented observation wells with a level sensor for long-term monitoring and a pump well located nearby for aquifer testing. The test interpretation was supported by the Aqtsolv Demo software obtaining the best fit with the method proposed by Tartakovsky-Neuman, with a specific yield varying, in 2σ, between 9.4% and 10.6%. Recharge was estimated with WTF, and the uncertainty in recharge is obtained by propagating the uncertainties about the specific yield (Bayesian inference) and the groundwater recession dynamics to the WTF. The uncertainty about recharge stems from uncertainty about the specific yield. The approach was applied on the campus of the Federal University of Pará, Belém, Brazil. Recharge was estimated at 1078.9 mm, from 03/sep/2020 to 30/sep/2021, with an associated uncertainty of 129.5 mm in 2σ, which equates to a range between 33.9 and 39.8% in terms of precipitation. Through the use of cost-effective instrumentation and interpretation methodology, replication of that approach can be encouraged to provide reliable estimates of recharge and specific yield in a site specific. Such condition can be useful to reduce the predictive uncertainty of groundwater management.
Stroke sequelae significantly affect the individual's functionality, namely at the level of their perceptive and cognitive skills. Consequently, these patients require rehabilitation therapies that are adapted to their dysfunctions. Conventional approaches (traditional board and paper games) have the disadvantage of not being suited to the dysfunctions of some patients, making the rehabilitation process unstimulating and demotivating. RehbBrain is a serious gaming platform, adapted for all patients whose rehabilitation process focuses on stimulating, visually, perceptual and cognitive skills. It simulates the individual’s daily activities, in various environments, and with progressive levels of difficulty. The platform aims to help therapists monitor their patients by promoting a systematized and standardized assessment. The games on the platform are intended to complement conventional rehabilitation methods, and render therapy sessions more dynamic, leading to a faster and more patient-oriented stimulation process.RehbBrain’s usability was tested by 5 specialists and 33 subjects with no associated pathologies. They completed separate System Usability Scale (SUS) questionnaire to assess the platform, but reached and combined average score of 88.4, classifying RehbBrain as "Excellent".
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