Geologic time scale | EPFL Graph Search

The geologic time scale or geological time scale (GTS) is a representation of time based on the rock record of Earth. It is a system of chronological dating that uses chronostratigraphy (the process of relating strata to time) and geochronology (scientific branch of geology that aims to determine the age of rocks). It is used primarily by Earth scientists (including geologists, paleontologists, geophysicists, geochemists, and paleoclimatologists) to describe the timing and relationships of events in geologic history. The time scale has been developed through the study of rock layers and the observation of their relationships and identifying features such as lithologies, paleomagnetic properties, and fossils. The definition of standardized international units of geologic time is the responsibility of the International Commission on Stratigraphy (ICS), a constituent body of the International Union of Geological Sciences (IUGS), whose primary objective is to precisely define global ch

Calculation of geological uncertainties associated with 3-D geological models

Ian Pomian-Srzednicki

3-D geological models are built with data collected in the field such as boreholes, geophysical measurements, pilot shafts or geological mapping. Unfortunately, these data are always limited in number. It implies that geological information is sparse and subsurface models are thus always built of both subjective interpretation and mathematical interpolation/extrapolation techniques. These models are therefore uncertain and this uncertainty is rarely pointed out in a geological prognosis. Our study proposes to bring a new methodology for the evaluation of geological uncertainties related to 3-D subsurface models and to test its potential use. The methodology we propose is based on the 3-D subsurface model, which is here considered as the most probable prediction (notion of best guess). The various geological interfaces that compose the subsurface model are handled individually as Gaussian random fields. At each location of an interface, the random function Z(u) describing the position of this interface is composed of a deterministic part m(u) which represents the expected position, and a random part σ(u)ε(u) which describes fluctuations around the predicted position. Then, a model of spatial variability (a variogram function γ(h)) is proposed in order to condition the random field according to available observations. Several structural constraints, such as the shape of folds and the thickness of layers can also be accounted for in this model. At this point, we are able to estimate the local variance all over the study area by the application of the kriging technique. Finally, the variability is converted into three-dimensional information by calculating probabilities, this describes the occurrence of the various rock masses that are present in the study area. The probabilities are calculated according to intersection rules that govern the stratigraphic sequence of the subsurface model, and they allow us to build a probabilistic model of subsurface structures in the form of a three-dimensional probability field. All of this has been incorporated in a computer program.

EPFL2002

Insights into the microbial reduction of pentavalent and hexavalent uranium species by Shewanella oneidensis MR-1

Margaux Camille Andréa Molinas

Decades of uranium-related activities such as ore mining, nuclear power generation, weapon manufacture, storage of nuclear wastes, have contributed to the release of U in the environment. U occurrence is concerning, since in surface environments, U is typically found in the U(VI) oxidation state, as uranyl, complexed with various ligands, and is highly soluble. Therefore, this toxic metal is likely to leech into soils and contaminate surface waters and groundwaters. In addition, owing to the long half-lives of the predominant isotopes 238U and 235U, U is considered as a persistent contaminant over geological timescales. For several decades, efforts have focused on the development of in situ remediation solutions to tackle U pollution in the subsurface, and limit its mobility.With this aim, interest in the metabolic potential for U(VI)-respiration by dissimilatory metal-reducing bacteria (DMRB), such as Shewanella oneidensis MR-1, has seen a significant increase. This metabolically-versatile bacterium has been reported to reduce mobile U(VI) to typically insoluble crystalline and amorphous U(IV). The reduction of U(VI) in S. oneidensis MR-1 is coupled to the oxidation of an electron donor, which feeds electrons into an electron transport chain, extending from the cytoplasm to the outer-membrane of the cells. The microbially mediated reduction of U(VI) to U(IV) is the result of a two-step process. It is assumed that one electron is first transferred to U(VI) to form a pentavalent U(V) intermediate, followed by the abiotic disproportionation of two U(V) atoms into U(IV) and U(VI). However, evidence for this mechanism is limited to experimental systems rich in carbonate, which permits the rapid disproportionation of U(V). Thus, it remains unclear whether a second, biologically-mediated, electron transfer to U(V) is possible under conditions in which disproportionation is limited. To explore this, a novel U(V)-dpaea complex, that is stable in water at pH 7, was utilized to investigate the second step of the reduction mechanism. Here, we observed that U(V) can be biologically reduced by an additional one-electron transfer, resulting in the accumulation of U(IV) without the need for disproportionation. To improve our understanding of the molecular mechanism of U-dpaea reduction, we incubated mutant strains of S. oneidensis MR-1, lacking (i) only outer-membrane c-type cytochromes or (ii) all c-type cytochromes, with solid phase U(VI)-dpaea and aqueous U(V)-dpaea. We determined that U(VI)-dpaea reduction proceeds via the initial dissolution of the solid phase and that U(V)-dpaea reduction is mediated by outer-membrane c-type cytochromes. In particular, in vitro reactions between the purified outer-membrane c-type cytochrome MtrC and U(V)-dpaea demonstrated that MtrC can directly transfer electrons to U(V)-dpaea.Finally, we sought to determine the factors that influence electron transfer kinetics between DMRB and U. To this end, we reacted U(VI) coordinated by various aminocarboxylate ligands with purified MtrC. Here, U speciation significantly impacted reduction rates and appeared to be related to the binding strength of the U-MtrC interaction, i.e., hydrogen bonding versus electrostatic.All together, these findings provide further insights in the reduction mechanism of U by DMRB, and underline the importance of U speciation in controlling the pathway and rate of electron transfer.

EPFL2021

Improved framework to estimate travel time and derived distributions in hydrological control volumes

Mitra Asadollahi

Crossing properties of soil saturation, defined as the duration and excursion of soil saturation below and above certain thresholds, are key variables to ecosystem functioning and evolution by primarily influencing the plant and soil microbes physiological dynamics. Under climate change, the variability in the precipitation patterns is expected to be more ubiquitous and directly translate to a shift in soil saturation levels. This, in turn, will influence crossing properties of soil saturation and thus be expected to leave a mark on ecosystems. However, the lack of a deep understanding of the links between biological processes and the change in soil saturation patterns hinders foretelling the impact of climate variability on ecohydrological systems even at the smallest scale, that is, the level of a single plant.To that end, this thesis presents experimental results from laboratory soil column experiments and extensive computational studies on the interactions between soil saturation and biological activities, that is, plants and microbes. To this aim, the depth-time soil saturation patterns are mapped by means of modeling the transport processes of relevance and experimental tools at a minimal hydrological control volume in search for upscaling methods. In this context, two modeling approaches can be employed. Physically based models that explicitly represent transport processes with high costs of application at larger scales. Age-based models that rely on generic functions with a focus on time past since arrival, that is, the age of event water in the storage. This thesis work combines models (HYDRUS-1D as physically based and tran-SAS as age-based) with soil column experimental data and Bayesian inference methods to explore the links between age characteristics and transport processes. In this thesis, data from four different experimental designs on monthly to yearly timescale under varied environmental conditions are examined in terms of tracer type, precipitation pattern, vegetation, soil type, resolution and type of collected data. Of the modeled data, two sets of results from specific experiments were carried out within the framework of this thesis.This thesis addresses also the role of the balance between dispersive and convective forces, known as Péclet number, in controlling the shape of age functions in drainage. While sole reliance on drainage flow and tracer data (reflective of Péclet number) suffice to capture age dynamics in drainage, un- certainties may arise for predictions on (evapo)transpiration. This thesis deals also with the role of root distributions as controls in determining the age to root uptake and shows plants with similar uniform-equivalent root distribution render very similar age dynamics. It was shown in this thesis that nitrate consumption by microbes can be linked to age characteristics of a conservative tracer and that the relation between microbial respiration and soil saturation may bear more complexity than is currently integrated in most models. Overall, this thesis lays steps to the development of modeling tools with high predictive power for soil saturation by originating upscaling methods and bridging the gaps between physically based and age-based models with a view on the consequences of (possi- bly changing) variable soil saturation on adaptations of microbial communities and their metabolic product.

EPFL2022