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Dissertation
Multi-scale aquifer characterization : from outcrop analogue, direct-push and borehole investigations towards improved groundwater flow models
Authors: ---
ISSN: 02507803 ISBN: 9789086496723 Year: 2013 Volume: 42 Publisher: Leuven Katholieke Universiteit Leuven

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Groundwater flow and solute transport modelling are affected by different kinds of uncertainty including spatial variability in aquifer properties such as hydraulic conductivity (K). This spatial variability is often present at different scales, and consequently, effective K values are very much scale-dependent. While regional-scale models often use effective K values obtained by inverse modelling, the small-scale variability has to be accounted for as well, as it has been shown that even submeter-scale heterogeneity can have important consequences on solute transport in aquifers. To support decision making related to environmental impact assessment for waste disposal sites or sites contaminated by point sources, appropriate subsurface characterization and modelling tools are thus required for accounting for subsurface heterogeneity, possibly observed at multiple spatial scales. These tools can further be used to quantify the uncertainty associated with groundwater flow and solute transport, to underpin strategies for long-term groundwater quality monitoring at disposal or contaminated sites, or for developing groundwater remediation schemes.In this work, a methodology is developed for efficient multi-scale subsurface characterization and integration of the gathered data in a stochastic regional groundwater flow and solute transport modelling approach. Different kinds of aquifer characterization technologies have to be combined to cover the centimetre- to the kilometre-scale, and to make optimal use of common or easily gathered secondary data. Additionally, for accounting for secondary data, the development of a set of tools for data calibration and interpretation is required. This is achieved by using different kinds of measurements from outcrop analogues, borehole and direct-push investigations, and by using innovative methods and techniques to obtain a sound framework for integrating all data.The case study that we use throughout the thesis is an area of ~60 km² in Mol/Dessel, Belgium, of which the subsurface consists of a succession of dipping lithostratigraphical units with varying degrees of heterogeneity, all part of the Neogene aquifer. We make use of different previous hydrogeological studies that were performed in the framework of the ONDRAF/NIRAS radioactive waste disposal programmes, and perform additional site characterization.The assessment of outcrops as analogues for the subsurface sediments shows that very useful quantitative and qualitative information can be retrieved from outcrops, but a systematic bias seems to exist between surface and subsurface data (lower K for the latter). The relative differences however seem to be valid, as is the amount of spatial heterogeneity. For including small-scale heterogeneity in the developed large-scale transport model, we make use of dispersivities estimated from the outcrop characterization.The three types of secondary K data used in this work are air permeability, grain size and cone penetration test data. For each of these we use a data-driven modelling approach to obtain estimates of K. The complexity of these approaches ranges from a simple linear model to the combination of artificial neural networks with general likelihood estimation. Each time, the site-specific estimates prove to be superior to existing models from literature.The conditioning of a regional groundwater flow model on borehole and geotechnical and hydraulic direct push data improves the model performance considerably. We use a data-driven approach for the hydrostratigraphy, by invoking a non-stationary multivariate geostatistical framework for conditioning the model. A combination of different McMC algorithms is used to estimate the uncertainty of the flow field, for the quantification of uncertainty on the corresponding solute transport. The combined algorithm is tested both in McMC sampling and optimization mode. The latter is clearly more efficient for CPU-intensive models, but only provides an approximation of the posterior.Solute transport simulations in the framework of surface disposal of radioactive waste, based on the obtained flow solutions, suggest that the reference model that considers homogeneous lithostratigraphical units produces conservative results in terms of maximum concentrations within the solute plume. For more detailed results, transport simulations using another advection solution scheme and finer numerical discretization are however recommended


Dissertation
Role of chemical characteristics of an aquifer on the biotic reductive dechlorination of trichloroethylene (TCE)
Authors: ---
ISBN: 9789088263439 Year: 2014 Volume: 1162 Publisher: Leuven Katholieke Universiteit Leuven

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Chlorinated solvents, such as trichloroethene (TCE), are major groundwater contaminants that often persist as dense nonaqueous phase liquids (DNAPLs) in subsurface environments. Microbial reductive dechlorination as a ‘polishing’ step after physical-chemical treatments is a promising approach for the remediation of TCE-DNAPL source zones and dechlorination activity at or near the source zones can enhance DNAPL dissolution. The physicochemical properties of the aquifer can affect the microbial dechlorination activity and, hence, the TCE DNAPL dissolution. This dissertation explores the influence of geochemical factors on TCE dechlorination, more in particular the competition between microbial reduction of iron (III) minerals and dechlorination processes. Thermodynamic considerations as well as observed threshold hydrogen concentration show that iron (Fe) reducers can compete with anaerobic TCE dechlorinators. This competition can impede the enrichment of dechlorinating populations and inhibit anaerobic reductive dechlorination. All studies were performed by inoculating matrices with a mixed dechlorinating culture (KB-1) that also contain Fe (III) reducers in order to limit the influence of the composition of the microbial communities on the microbial processes; all studies used formate as electron donor. In a first part, the influence of the quantity and mineralogy of Fe (III) minerals on TCE dechlorination was investigated. A matrix extraction procedure for testing bioavailable Fe (III) in sediments was also calibrated. Experiments were performed in batches with either 1) variable amounts of ferrihydrite or 2) with 14 different Fe (III) minerals coated onto or mixed in with quartz sand at constant total Fe and at a stoichiometric excess Fe (III) over electron donor. At constant total Fe in the sand, TCE dechlorination time varied with Fe mineralogy between 8 days (no Fe added) to > 120 days (Fe-containing bentonite). Poorly crystalline Fe (III) minerals increased the dechlorination time whereas crystalline Fe (III) minerals such as goethite or hematite had no effect. The TCE dechlorination time increased with increasing total reduced Fe and with increasing surface area of the Fe (III) minerals. Extractable Fe determined based on Fe (III) reduction using NH2OH.HCl predicted the competitive inhibition of TCE degradation in these model systems. This study shows that Fe mineralogy rather that total Fe content determines the competitive inhibition of TCE dechlorination.In a second part, the H2 pressure was measured during dechlorination in presence and absence of Fe (III) to determine critical H2 for the different terminal electron accepting reactions (TEAP) in the system. Different natural and synthetic Fe containing matrices were used and compared. Iron (III) and Mn (IV) reduction limited microbial dechlorination by decreasing the level of H2 in the system and subsequently resulted in a H2 limited condition. The H2 measurements indicated that a wide concentration range of H2 is possiblefor different TEAPs in these systems and that these TEAPs can therefore occur concurrently rather than exclusively. Differences in Fe (III) bioavailability and, hence, Fe (III) reduction partially explain this wide range. The distinction between dechlorination and other microbial reduction processes based on H2 concentrations threshold values is not feasible under such conditions. Dechlorination leads to acidification and slows down dechlorination. In addition, acidification facilitates Fe (III) reduction because of increased Fe (III) solubility. In a third part, it was investigated if acidification and Fe (III) reduction have a synergistic inhibition on reductive dechlorination. Two common aquifer Fe (III) minerals, goethite and ferrihydrite and sand only as control were studied in batch bottles at different solution pH values (6.2 - 7.2). In the absence of Fe, lowering matrix pH between 7.2 to 6.2 increased the time for TCE degradation. At pH 7.2, goethite did not affect TCE degradation time while ferrihydrite increased it. Iron reduction in ferrihydrite increased between pH 7.2 and 6.5 but decreased by further lowering pH to 6.2, likely due to reduced microbial activity. This study confirms that TCE reduction is increasingly inhibited by the combined effect of acidification and bioavailable Fe (III), however no evidence was found for synergistic inhibition since Fe reduction did not increase as pH decreased. A fourth part of this work examined to what extent Fe (III) minerals affect dechlorination in environmental samples. Seventeen environmental matrices with contrasting properties (pH 3.5-11; total Fe 0.1-87 g kg-1, total Fe (II) 0.05 - 2 % of total Fe) were inoculated in unbuffered media with 1 mM TCE and 9 mM formate, sufficient for complete TCE dechlorination. The time for 90% conversion of TCE to cis-DCE ranged 5 - >100 days with only partial or no dechlorination past cis-DCE due to the lack of electron equivalents. Reduction of Fe (III), SO42-and NO3- was detected in almost all treatments. The TCE and cis-DCE dechlorination was completely inhibited below pH 4.3, above pH 10.5 and in matrices where Fe reduction was highest. No cis-DCE degradation was observed below pH 5.9. The TCE dechlorination time and the inhibition of cis-DCE dechlorination increased with increasing concentrations of available Fe (III), determined with citrate bicarbonate extraction for matrices between pH 4.3 - 10, however statistical effects were small (R2<0.30). Weak Fe extraction methods such as the citrate bicarbonate ascorbate extraction determines bioavailable Fe (III) in the matrix and predict the stoichiometric requirements of electron donor to overcome inhibition of dechlorination.The fifth part of this study assessed the role of Fe (III) minerals on the bio-enhanced dissolution of a TCE DNAPL. Columns were set up as 1-D diffusion-cells consisting of a lower DNAPL layer, a layer with an aquifer matrix and an upper water layer that is regularly refreshed with formate containing medium. The matrices were either inert sand, inert sand coated with 2-line ferrihydrite (HFO) and two environmental Fe containing matrices. In none of the diffusion cells, vinyl chloride or ethene was detected while dissolved and extractable Fe (II) increased strongly during 60 days incubation. The cis-DCE concentration peaked at 4.0 cm from the DNAPL (inert sand) while it was at 3.4 cm (sand + HFO), 1.7 cm and 2.5 cm (environmental samples). The TCE concentration gradients near the DNAPL indicate that the DNAPL dissolution rate was larger than that in an abiotic cell by factors 1.3 (inert sand), 1.0 (sand + HFO) and 2.2 (both environmental samples). This results show that high bioavailable Fe (III) in the HFO reduces the TCE degradation by competitive Fe (III) reduction, yielding lower bioenhanced dissolution. However, Fe (III) reduction in the environmental samples was not affecting bioenhanced dissolution which was even larger than in inert sand. It is speculated that physical factors, e.g., micro-niches in the environmental samples, protect microorganisms from toxic concentrations of TCE. In conclusion, this work demonstrated that Fe (III) reduction can limit the overall dechlorination rate and bioenhanced dissolution. Amorphous Fe (III) oxyhydroxides are readily reduced and largely inhibit dechlorination whereas crystalline Fe (III) oxyhydroxides have weak or no effects. Effects of Fe on dechlorination past cis-DCE are larger than on TCE and this deserves further study. The occurrence of multiple terminal electron acceptors increase the electron donor consumption and result in a ‘cis-DCE’ or ‘VC’ stall due to the electron donor limitation. Addition of surplus electron donor without calculations can overstimulate methanogens and also can increase the bioremediation costs. Thus, a stoichiometric calculation of electrons equivalents is necessary to match the Fe (III) reduction. Citrate bicarbonate ascorbate extraction is recommended as a simple matrix Fe extraction assay in order to approximate the electron equivalents necessary for depleting the bioavailable Fe fraction. Acid pH conditions can severely limit the dechlorination and iron reduction can acts as an additive stress factor in the acid systems limiting the microbial dechlorination capacity.


Book
Thermique des nappes souterraines
Authors: --- --- ---
ISBN: 288074069X 9782880740696 Year: 1985 Publisher: Lausanne : Presses polytechniques et universitaires romandes,

Multiobjective optimization in water resources systems
Authors: --- ---
ISBN: 0444413138 9786611984267 1281984264 0080869947 9780444413130 9780080869940 Year: 1975 Volume: 3 Publisher: Amsterdam New York Elsevier Scientific Pub. Co.


Book
Computer methods and water resources : 1st International conference, Morocco 1988
Authors: --- ---
ISBN: 1853120006 0931215897 3540188525 0387188525 3540188592 0387188592 1853120006 1853120014 1853120022 1853120030 1853120049 1853120057 Year: 1988 Publisher: Southampton : Berlin : Computational mechanics publications Springer-Verl.,

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Keywords

556.33 --- 624.131.6 --- 628.1 --- 631.432 --- 681.3*I64 --- Aquifers. Water-bearing strata --- Water in the soil (groundwater). Groundwater movement: flow, percolation, seepage etc. Effects: erosion, capillary effects, pressures --- Water supply, treatment, consumption and use --- Groundwater. Agricultural hydrology --- Model validation and analysis (Simulation and modeling) --- 556.5 --- 556.18 --- Surface-water hydrology. Land hydrology --- Water management. Applied hydrology. Human control of hydrologic conditions --- 532.5 --- 556.34 --- 556.536 --- Liquid motion. Hydrodynamics --- Groundwater flow. Well hydraulics --- Hydrodynamics of rivers. Fluvial hydraulics. Currents. Waves --- 628.15 --- 556.16 --- Water distribution systems. Local networks. Distribution and service mains --- Runoff --- 628.394.2 --- 556.388 --- Secondary pollution of waters. Eutrophic pollution --- Pollution of groundwater. Protective measures --- 556.556 --- 626.8 --- Hydrodynamics of lakes. Lacustrine hydraulics. Currents. Waves --- Agricultural hydraulics. Irrigation, drainage and reclamation engineering --- 681.3*I64 Model validation and analysis (Simulation and modeling) --- 556.388 Pollution of groundwater. Protective measures --- 628.394.2 Secondary pollution of waters. Eutrophic pollution --- 628.1 Water supply, treatment, consumption and use --- 556.536 Hydrodynamics of rivers. Fluvial hydraulics. Currents. Waves --- 556.16 Runoff --- 628.15 Water distribution systems. Local networks. Distribution and service mains --- 556.34 Groundwater flow. Well hydraulics --- 532.5 Liquid motion. Hydrodynamics --- 631.432 Groundwater. Agricultural hydrology --- 556.18 Water management. Applied hydrology. Human control of hydrologic conditions --- 556.5 Surface-water hydrology. Land hydrology --- 626.8 Agricultural hydraulics. Irrigation, drainage and reclamation engineering --- 556.556 Hydrodynamics of lakes. Lacustrine hydraulics. Currents. Waves --- 624.131.6 Water in the soil (groundwater). Groundwater movement: flow, percolation, seepage etc. Effects: erosion, capillary effects, pressures --- 556.33 Aquifers. Water-bearing strata

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